Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

[1]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[2]  Richard N. Cardozo.  An Experimental Study of Customer Effort, Expectation, and Satisfaction , 1965 .

[3]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[4]  Rolph E. Anderson.  Consumer Dissatisfaction: The Effect of Disconfirmed Expectancy on Perceived Product Performance , 1973 .

[5]  Jon Louis Bentley,et al.  Multidimensional binary search trees used for associative searching , 1975, CACM.

[6]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.

[7]  Vic Barnett,et al.  Outliers in Statistical Data , 1980 .

[8]  A. Afifi,et al.  Statistical Analysis: A Computer Oriented Approach , 1979 .

[9]  Douglas M. Hawkins.  Identification of Outliers , 1980, Monographs on Applied Probability and Statistics.

[10]  A Ikai,et al.  Thermostability and aliphatic index of globular proteins. , 1980, Journal of biochemistry.

[11]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[12]  R. Doolittle,et al.  A simple method for displaying the hydropathic character of a protein. , 1982, Journal of molecular biology.

[13]  Martin A. Lobeck,et al.  A model title page for patent specifications , 1984 .

[14]  D. L. Bosworth,et al.  Foreign Patent Flows to and from the United Kingdom : Research Policy , 1984 .

[15]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[16]  A. Varshavsky,et al.  In vivo half-life of a protein is a function of its amino-terminal residue. , 1986, Science.

[17]  J. Ross Quinlan,et al.  Simplifying Decision Trees , 1987, Int. J. Man Mach. Stud..

[18]  P. Wilton,et al.  Models of Consumer Satisfaction Formation : An Extension , 1988 .

[19]  Jerzy W. Grzymala-Busse,et al.  Knowledge acquisition under uncertainty — a rough set approach , 1988, J. Intell. Robotic Syst..

[20]  Mark Reitman,et al.  Supercomputers and supercomputing in the USSR , 1988 .

[21]  Youjae Yi.  A Critical review of consumer satisfaction , 1989 .

[22]  David B. Audretsch,et al.  Patents as a Measure of Innovative Activity , 1989 .

[23]  Hiroaki Kitano,et al.  Designing Neural Networks Using Genetic Algorithms with Graph Generation System , 1990, Complex Syst..

[24]  M. W. Pandit,et al.  Correlation between stability of a protein and its dipeptide composition: a novel approach for predicting in vivo stability of a protein from its primary sequence. , 1990, Protein engineering.

[25]  G. Peeters,et al.  Positive-Negative Asymmetry in Evaluations: The Distinction Between Affective and Informational Negativity Effects , 1990 .

[26]  Edwina L. Rissland,et al.  Inductive Learning in a Mixed Paradigm Setting , 1990, AAAI.

[27]  Thomas G. Dietterich,et al.  Learning with Many Irrelevant Features , 1991, AAAI.

[28]  Robert F. Harrison,et al.  Optimization and training of feedforward neural networks by genetic algorithms , 1991 .

[29]  Z. Pawlak.  Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[30]  Mary Ellen Mogee,et al.  Using Patent Data for Technology Analysis and Planning , 1991 .

[31]  Robert F. Port,et al.  Fractally configured neural networks , 1991, Neural Networks.

[32]  C. R. Middaugh,et al.  Statistical determination of the average values of the extinction coefficients of tryptophan and tyrosine in native proteins. , 1992, Analytical biochemistry.

[33]  E. Helpman.  Innovation, Imitation, and Intellectual Property Rights , 1992 .

[34]  Larry A. Rendell,et al.  The Feature Selection Problem: Traditional Methods and a New Algorithm , 1992, AAAI.

[35]  Gregory Piatetsky-Shapiro,et al.  Knowledge Discovery in Databases: An Overview , 1992, AI Mag..

[36]  W. H. Inmon,et al.  Building the data warehouse , 1992 .

[37]  Kenneth A. Froot,et al.  Risk Management: Coordinating Corporate Investment and Financing Policies , 1992 .

[38]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[39]  Russell Reed,et al.  Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.

[40]  E. Anderson,et al.  The Antecedents and Consequences of Customer Satisfaction for Firms , 1993 .

[41]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[42]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[43]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[44]  Roberto Battiti,et al.  Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.

[45]  J. Celis,et al.  Reference points for comparisons of two‐dimensional maps of proteins from different human cell types defined in a pH scale where isoelectric points correlate with polypeptide compositions , 1994, Electrophoresis.

[46]  Kay Rupprecht.  CD-ROMs for publication of patents: A critical review , 1994 .

[47]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[48]  P. Langley.  Selection of Relevant Features in Machine Learning , 1994 .

[49]  E. Anderson.  Cross-category variation in customer satisfaction and retention , 1994 .

[50]  C. Fornell,et al.  Customer Satisfaction, Market Share, and Profitability: Findings from Sweden , 1994 .

[51]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[52]  Andreas Buja,et al.  Grand tour and projection pursuit , 1995 .

[53]  David J. Montana,et al.  Strongly Typed Genetic Programming , 1995, Evolutionary Computation.

[54]  Igor Kononenko,et al.  On Biases in Estimating Multi-Valued Attributes , 1995, IJCAI.

[55]  Ron Kohavi,et al.  Supervised and Unsupervised Discretization of Continuous Features , 1995, ICML.

[56]  I. D. Longstaff,et al.  Improving Co-occurrence Matrix Feature Discrimination , 1995 .

[57]  David W. Aha,et al.  A Comparative Evaluation of Sequential Feature Selection Algorithms , 1995, AISTATS.

[58]  C. S. Patrickios,et al.  Polypeptide Amino Acid Composition and Isoelectric Point , 1995 .

[59]  Christopher Ahlberg,et al.  Spotfire: an information exploration environment , 1996, SGMD.

[60]  Richard A. Spreng,et al.  A Reexamination of the Determinants of Consumer Satisfaction , 1996 .

[61]  C. Floyd,et al.  Artificial neural network: improving the quality of breast biopsy recommendations. , 1996, Radiology.

[62]  C Kimme-Smith,et al.  Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes. , 1996, Medical physics.

[63]  Huan Liu,et al.  A Probabilistic Approach to Feature Selection - A Filter Solution , 1996, ICML.

[64]  Hans-Peter Kriegel,et al.  The X-tree : An Index Structure for High-Dimensional Data , 2001, VLDB.

[65]  Ralph Kimball,et al.  The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling , 1996 .

[66]  D. Archibugi,et al.  Measuring technological change through patents and innovation surveys , 1996 .

[67]  Roderic D. M. Page,et al.  TreeView: an application to display phylogenetic trees on personal computers , 1996, Comput. Appl. Biosci..

[68]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[69]  N. Karssemeijer,et al.  Influence of segmentation on classification of microcalcifications in digital mammography , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[70]  H. Knight.  Patent Strategy: For Researchers and Research Managers , 1996 .

[71]  Atam P. Dhawan,et al.  Analysis of mammographic microcalcifications using gray-level image structure features , 1996, IEEE Trans. Medical Imaging.

[72]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[73]  Thomas L. Madden,et al.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.

[74]  Garrison W. Greenwood.  Training partially recurrent neural networks using evolutionary strategies , 1997, IEEE Trans. Speech Audio Process..

[75]  Jaehong Park,et al.  Evolutionary projection neural networks , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[76]  Ashwin Ram,et al.  Efficient Feature Selection in Conceptual Clustering , 1997, ICML.

[77]  Alex Berson,et al.  Data Warehousing, Data Mining, and OLAP , 1997 .

[78]  Russell G. Almond,et al.  Graphical Explanation in Belief Networks , 1997 .

[79]  William T. Ross,et al.  The Asymmetric Impact of Negative and Positive Attribute-Level Performance on Overall Satisfaction and Repurchase Intentions , 1998 .

[80]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[81]  Thomas G. Dietterich.  Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.

[82]  Szymon Wilk,et al.  ROSE - Software Implementation of the Rough Set Theory , 1998, Rough Sets and Current Trends in Computing.

[83]  Stefan Berchtold,et al.  Independence Diagrams: A Technique for Visual Data Mining , 1998, KDD.

[84]  Dimitrios Gunopulos,et al.  Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.

[85]  Sudipto Guha,et al.  CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.

[86]  Hiroshi Motoda,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.

[87]  Raymond T. Ng,et al.  Algorithms for Mining Distance-Based Outliers in Large Datasets , 1998, VLDB.

[88]  Jon M. Kleinberg,et al.  Inferring Web communities from link topology , 1998, HYPERTEXT '98.

[89]  Roberto J. Bayardo,et al.  Efficiently mining long patterns from databases , 1998, SIGMOD '98.

[90]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.

[91]  J L Sussman,et al.  Protein Data Bank (PDB): database of three-dimensional structural information of biological macromolecules. , 1998, Acta crystallographica. Section D, Biological crystallography.

[92]  Alex Berson,et al.  Building Data Mining Applications for CRM , 1999 .

[93]  Hans-Peter Kriegel,et al.  Visual classification: an interactive approach to decision tree construction , 1999, KDD '99.

[94]  Xin Yao,et al.  Evolving artificial neural networks , 1999, Proc. IEEE.

[95]  Jonathan Goldstein,et al.  When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.

[96]  Daniel A. Keim,et al.  HD-Eye: Visual Mining of High-Dimensional Data , 1999, IEEE Computer Graphics and Applications.

[97]  Tom Fawcett,et al.  Activity monitoring: noticing interesting changes in behavior , 1999, KDD '99.

[98]  Richard W. Kopak,et al.  Functional link typing in hypertext , 1999, CSUR.

[99]  Nicolas Pasquier,et al.  Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.

[100]  Bernhard Schölkopf,et al.  Support Vector Method for Novelty Detection , 1999, NIPS.

[101]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[102]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1999, SODA '98.

[103]  N Karssemeijer,et al.  Automated classification of clustered microcalcifications into malignant and benign types. , 2000, Medical physics.

[104]  Martin Bergman,et al.  The deep web:surfacing the hidden value , 2000 .

[105]  Sudipto Guha,et al.  ROCK: A Robust Clustering Algorithm for Categorical Attributes , 2000, Inf. Syst..

[106]  Carla E. Brodley,et al.  Feature Subset Selection and Order Identification for Unsupervised Learning , 2000, ICML.

[107]  Jian Pei,et al.  Mining Access Patterns Efficiently from Web Logs , 2000, PAKDD.

[108]  Liangsheng Qu,et al.  Fault diagnosis using Rough Sets Theory , 2000 .

[109]  David A. Cohn,et al.  The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity , 2000, NIPS.

[110]  Nick Cercone,et al.  AViz: A Visualization System for Discovering Numeric Association Rules , 2000, PAKDD.

[111]  Ramesh R. Sarukkai,et al.  Link prediction and path analysis using Markov chains , 2000, Comput. Networks.

[112]  Oren Etzioni,et al.  Towards adaptive Web sites: Conceptual framework and case study , 2000, Artif. Intell..

[113]  D. Higgins,et al.  T-Coffee: A novel method for fast and accurate multiple sequence alignment. , 2000, Journal of molecular biology.

[114]  Huan Liu,et al.  Consistency Based Feature Selection , 2000, PAKDD.

[115]  Carla E. Brodley,et al.  Visualization and interactive feature selection for unsupervised data , 2000, KDD '00.

[116]  Shlomo Moran,et al.  The stochastic approach for link-structure analysis (SALSA) and the TKC effect , 2000, Comput. Networks.

[117]  Emmanuel Barillot,et al.  DBcat: a catalog of 500 biological databases , 2000, Nucleic Acids Res..

[118]  George M. Church,et al.  Biclustering of Expression Data , 2000, ISMB.

[119]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[120]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[121]  Hans-Peter Kriegel,et al.  LOF: identifying density-based local outliers , 2000, SIGMOD 2000.

[122]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[123]  Ian Horrocks,et al.  The Semantic Web: The Roles of XML and RDF , 2000, IEEE Internet Comput..

[124]  Amos Bairoch,et al.  Serendipity in bioinformatics, the tribulations of a Swiss bioinformatician through exciting times! , 2000, Bioinform..

[125]  Mark A. Musen,et al.  The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility , 2000, EKAW.

[126]  A. Krogh,et al.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. , 2001, Journal of molecular biology.

[127]  Matthew Richardson,et al.  The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank , 2001, NIPS.

[128]  Anthony K. H. Tung,et al.  Mining top-n local outliers in large databases , 2001, KDD '01.

[129]  J.-P. Haton,et al.  A comparative study of topic identification on newspaper and e-mail , 2001, Proceedings Eighth Symposium on String Processing and Information Retrieval.

[130]  David Law Yuh Foong.  A visualization-driven approach for strategic knowledge discovery , 2001 .

[131]  Yanchun Zhang,et al.  Measuring similarity of interests for clustering Web-users , 2001, Proceedings 12th Australasian Database Conference. ADC 2001.

[132]  Alon Y. Halevy,et al.  The Nimble XML data integration system , 2001, Proceedings 17th International Conference on Data Engineering.

[133]  M. Beynon,et al.  Variable precision rough set theory and data discretisation: an application to corporate failure prediction , 2001 .

[134]  P. H. Sönksen,et al.  Data mining for indicators of early mortality in a database of clinical records , 2001, Artif. Intell. Medicine.

[135]  Gary M. Weiss,et al.  The effect of class distribution on classifier learning: an empirical study , 2001 .

[136]  Fabio Casati,et al.  Improving Business Process Quality through Exception Understanding, Prediction, and Prevention , 2001, VLDB.

[137]  Philip S. Yu,et al.  Outlier detection for high dimensional data , 2001, SIGMOD '01.

[138]  Aidong Zhang,et al.  Interrelated two-way clustering: an unsupervised approach for gene expression data analysis , 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).

[139]  Mark A. Schankerman,et al.  Characteristics of patent litigation: a window on competition , 2001 .

[140]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[141]  C. A. Murthy,et al.  Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[142]  Mamata Jenamani,et al.  Online Customized Index Synthesis in Commercial Web Sites , 2002, IEEE Intell. Syst..

[143]  Jonathan Timmis,et al.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[144]  Andreas Geyer-Schulz,et al.  Evaluation of Recommender Algorithms for an Internet Information Broker based on Simple Association Rules and on the Repeat-Buying Theory , 2002 .

[145]  Hongxing He,et al.  Outlier Detection Using Replicator Neural Networks , 2002, DaWaK.

[146]  David Jensen,et al.  Data Mining in Social Networks , 2002 .

[147]  Huan Liu,et al.  Feature Selection with Selective Sampling , 2002, International Conference on Machine Learning.

[148]  Daniel A. Keim,et al.  Information Visualization and Visual Data Mining , 2002, IEEE Trans. Vis. Comput. Graph..

[149]  Fabio Casati,et al.  Business Process Cockpit , 2002, VLDB.

[150]  Alexander S. Szalay,et al.  Very Fast Outlier Detection in Large Multidimensional Data Sets , 2002, DMKD.

[151]  Steffen Staab,et al.  KAON - Towards a Large Scale Semantic Web , 2002, EC-Web.

[152]  Alex Alves Freitas,et al.  Data mining with an ant colony optimization algorithm , 2002, IEEE Trans. Evol. Comput..

[153]  Jun Hong,et al.  Using Markov models for web site link prediction , 2002, HYPERTEXT '02.

[154]  C. Floyd,et al.  Differences between computer-aided diagnosis of breast masses and that of calcifications. , 2002, Radiology.

[155]  Matthew Richardson,et al.  Mining knowledge-sharing sites for viral marketing , 2002, KDD.

[156]  Soumen Chakrabarti,et al.  Mining the web - discovering knowledge from hypertext data , 2002 .

[157]  Pat Hanrahan,et al.  Query, analysis, and visualization of hierarchically structured data using Polaris , 2002, KDD.

[158]  Hector Garcia-Molina,et al.  The Eigentrust algorithm for reputation management in P2P networks , 2003, WWW '03.

[159]  Guangwen Yang,et al.  Distributed page ranking in structured P2P networks , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[160]  Martin Shepperd,et al.  Case and Feature Subset Selection in Case-Based Software Project Effort Prediction , 2003 .

[161]  Marko Robnik-Sikonja,et al.  Comprehensible evaluation of prognostic factors and prediction of wound healing , 2003, Artif. Intell. Medicine.

[162]  Sargur N. Srihari,et al.  A feature selection framework for text filtering , 2003, Third IEEE International Conference on Data Mining.

[163]  Sameer Singh,et al.  Novelty detection: a review - part 1: statistical approaches , 2003, Signal Process..

[164]  Laks V. S. Lakshmanan,et al.  Efficient dynamic mining of constrained frequent sets , 2003, TODS.

[165]  Kevin S. McCurley,et al.  Analysis of anchor text for web search , 2003, SIGIR.

[166]  Stephen D. Bay,et al.  Mining distance-based outliers in near linear time with randomization and a simple pruning rule , 2003, KDD '03.

[167]  David R. Karger,et al.  Haystack: A Platform for Authoring End User Semantic Web Applications , 2003, WWW.

[168]  Shelley Powers,et al.  Practical RDF , 2003 .

[169]  Christos Faloutsos,et al.  LOCI: fast outlier detection using the local correlation integral , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[170]  Lada A. Adamic,et al.  Friends and neighbors on the Web , 2003, Soc. Networks.

[171]  Jaideep Srivastava,et al.  A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection , 2003, SDM.

[172]  Luis Mateus Rocha,et al.  Singular value decomposition and principal component analysis , 2003 .

[173]  Olfa Nasraoui,et al.  Combining Web Usage Mining and Fuzzy Inference for Website Personalization , 2003 .

[174]  James C. Browne,et al.  Distributed pagerank for P2P systems , 2003, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on.

[175]  Zengyou He,et al.  Discovering cluster-based local outliers , 2003, Pattern Recognit. Lett..

[176]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[177]  MAGDALINI EIRINAKI,et al.  Web mining for web personalization , 2003, TOIT.

[178]  Leo Obrst,et al.  The Semantic Web: A Guide to the Future of XML, Web Services and Knowledge Management , 2003 .

[179]  David Harel,et al.  A two-way visualization method for clustered data , 2003, KDD '03.

[180]  M. Campbell,et al.  PANTHER: a library of protein families and subfamilies indexed by function. , 2003, Genome research.

[181]  Robert S. Ledley,et al.  The Protein Information Resource , 2003, Nucleic Acids Res..

[182]  Mohamed S. Kamel,et al.  Efficient phrase-based document indexing for Web document clustering , 2004, IEEE Transactions on Knowledge and Data Engineering.

[183]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[184]  Lawrence Carin,et al.  A Bayesian approach to joint feature selection and classifier design , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[185]  Huan Liu,et al.  Discretization: An Enabling Technique , 2002, Data Mining and Knowledge Discovery.

[186]  David F. Gleich,et al.  Fast Parallel PageRank: A Linear System Approach , 2004 .

[187]  Carla E. Brodley,et al.  Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..

[188]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[189]  Wil M. P. van der Aalst,et al.  Workflow mining: discovering process models from event logs , 2004, IEEE Transactions on Knowledge and Data Engineering.

[190]  Pedro M. Domingos,et al.  Ontology Matching: A Machine Learning Approach , 2004, Handbook on Ontologies.

[191]  Philip S. Yu,et al.  An effective and efficient algorithm for high-dimensional outlier detection , 2005, The VLDB Journal.

[192]  Pak Chung Wong,et al.  Visual Analytics , 2004, IEEE Computer Graphics and Applications.

[193]  Dániel Fogaras,et al.  Towards Scaling Fully Personalized PageRank , 2004, WAW.

[194]  Asunción Gómez-Pérez,et al.  Ontological Engineering: With Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web , 2004, Advanced Information and Knowledge Processing.

[195]  Wil M. P. van der Aalst,et al.  Mining Social Networks: Uncovering Interaction Patterns in Business Processes , 2004, Business Process Management.

[196]  Cathy H. Wu,et al.  Protein sequence databases. , 2004, Current opinion in chemical biology.

[197]  Dimitrios Gunopulos,et al.  Subspace Clustering of High Dimensional Data , 2004, SDM.

[198]  M. C. Jothishankar,et al.  Quality control problem in printed circuit board manufacturing—An extended rough set theory approach , 2004 .

[199]  M. Reitzig.  Improving patent valuations for management purposes--validating new indicators by analyzing application rationales , 2004 .

[200]  Kevin S. McCurley,et al.  Ranking the web frontier , 2004, WWW '04.

[201]  Daniel Rivero,et al.  A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP , 2004, Neural Computation.

[202]  Chun-Che Huang,et al.  Rough set approach to case-based reasoning application , 2004, Expert Syst. Appl..

[203]  Martin Mozina,et al.  Nomograms for Visualization of Naive Bayesian Classifier , 2004, PKDD.

[204]  Daniel A. Keim,et al.  Visual data mining in large geospatial point sets , 2004, IEEE Computer Graphics and Applications.

[205]  Daniel Rivero,et al.  Using Genetic Programming for Character Discrimination in Damaged Documents , 2004, EvoWorkshops.

[206]  Hector Garcia-Molina,et al.  Combating Web Spam with TrustRank , 2004, VLDB.

[207]  Arnon Rungsawang,et al.  Parallel PageRank computation on a gigabit PC cluster , 2004, 18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004..

[208]  Frank van Harmelen,et al.  A semantic web primer , 2004 .

[209]  James L. Schwing,et al.  Visual and Spatial Analysis , 2005, Springer Netherlands.

[210]  Marko Robnik-Sikonja,et al.  Theoretical and Empirical Analysis of ReliefF and RReliefF , 2003, Machine Learning.

[211]  Huan Liu,et al.  Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..

[212]  Melanie Tory,et al.  Human factors in visualization research , 2004, IEEE Transactions on Visualization and Computer Graphics.

[213]  Katherine Gallagher,et al.  Using viewing time to infer user preference in recommender systems , 2004 .

[214]  Mykola Pechenizkiy,et al.  PCA-based feature transformation for classification: issues in medical diagnostics , 2004 .

[215]  Francisco Herrera,et al.  Un estudio empírico preliminar sobre los tests estadísticos más habituales en el aprendizaje automático , 2004 .

[216]  A. Ben-David.  Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms , 1995, Machine Learning.

[217]  Laura M. Yarusso,et al.  Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance. , 2004, Medical physics.

[218]  Victoria J. Hodge,et al.  A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.

[219]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[220]  G. Schnitger,et al.  Efficient Approximation with Neural Networks: A Comparison of Gate Functions , 2005 .

[221]  Shaozhi Ye,et al.  Distributed PageRank computation based on iterative aggregation-disaggregation methods , 2005, CIKM '05.

[222]  Barry W. Boehm,et al.  Finding the right data for software cost modeling , 2005, IEEE Software.

[223]  Clara Pizzuti,et al.  Outlier mining in large high-dimensional data sets , 2005, IEEE Transactions on Knowledge and Data Engineering.

[224]  Byung Ro Moon,et al.  Normalization for neural network in genetic search , 2005, GECCO '05.

[225]  B. Tseng,et al.  Tomographic Clustering To Visualize Blog Communities as Mountain Views , 2005 .

[226]  David J. Hand,et al.  Intelligent Data Analysis: An Introduction , 2005 .

[227]  Jan M. Zytkow,et al.  Unified algorithm for undirected discovery of exception rules , 2005, Int. J. Intell. Syst..

[228]  Dimitrios I. Fotiadis,et al.  Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines , 2005, Artif. Intell. Medicine.

[229]  Li Yang,et al.  Pruning and visualizing generalized association rules in parallel coordinates , 2005, IEEE Transactions on Knowledge and Data Engineering.

[230]  Phyllis Schumacher,et al.  Predicting Success for Actuarial Students in Undergraduate Mathematics Courses. , 2005 .

[231]  Thorsten Teichert,et al.  Inventive progress measured by multi-stage patent citation analysis , 2005 .

[232]  Rafael Bello,et al.  A model based on ant colony system and rough set theory to feature selection , 2005, GECCO '05.

[233]  E. Cantu-Paz,et al.  An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[234]  Ivan Bratko,et al.  VizRank: Data Visualization Guided by Machine Learning , 2006, Data Mining and Knowledge Discovery.

[235]  Shonali Krishnaswamy,et al.  Mining data streams: a review , 2005, SGMD.

[236]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[237]  Danah Boyd,et al.  Vizster: visualizing online social networks , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[238]  Pawan Lingras,et al.  Temporal analysis of clusters of supermarket customers: conventional versus interval set approach , 2005, Inf. Sci..

[239]  Daniel Rivero,et al.  Time Series Forecast with Anticipation Using Genetic Programming , 2005, IWANN.

[240]  James W. Soong.  Patent Damage Strategies and the Enterprise License: Constructive Notice, Actual Notice, No Notice , 2005 .

[241]  James A. Hendler,et al.  Semantic Web Architecture: Stack or Two Towers? , 2005, PPSWR.

[242]  Steffen Staab,et al.  Social Networks Applied , 2005, IEEE Intell. Syst..

[243]  Vipin Kumar,et al.  Feature bagging for outlier detection , 2005, KDD '05.

[244]  Hadrian Peter,et al.  Data Warehousing Search Engine , 2005 .

[245]  Juan R. Rabuñal,et al.  Artificial Neural Networks in Real-Life Applications , 2005 .

[246]  Roberto Basili,et al.  RitroveRAI: A Web Application for Semantic Indexing and Hyperlinking of Multimedia News , 2005, SEMWEB.

[247]  Ronen Feldman,et al.  Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger , 2008, CL.

[248]  Qinbao Song,et al.  Mining web browsing patterns for E-commerce , 2006, Comput. Ind..

[249]  Christos Faloutsos,et al.  Graph mining: Laws, generators, and algorithms , 2006, CSUR.

[250]  Yufei Tao,et al.  Mining distance-based outliers from large databases in any metric space , 2006, KDD '06.

[251]  Tinku Acharya,et al.  Image Processing: Principles and Applications , 2005, J. Electronic Imaging.

[252]  Wan-Shiou Yang,et al.  Mining Social Networks for Targeted Advertising , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[253]  Kris Brijs,et al.  Unravelling country-of-origin : semiotics as a theoretical basis for a meaning-centred approach towards country-of-origin effects , 2006 .

[254]  Andrei Z. Broder,et al.  Efficient PageRank approximation via graph aggregation , 2004, WWW Alt. '04.

[255]  Hui Wu,et al.  An Efficient Algorithm for Clustering Search Engine Results , 2006, 2006 International Conference on Computational Intelligence and Security.

[256]  Enrico Motta,et al.  Study on Integrating Semantic Applications with Magpie , 2006, AIMSA.

[257]  Michael Gertz,et al.  Mining email social networks in Postgres , 2006, MSR '06.

[258]  Koen Vanhoof,et al.  Evaluation of ordinal attributes at value level , 2007, Data Mining and Knowledge Discovery.

[259]  Robert Spence,et al.  Information Visualization: Design for Interaction (2nd Edition) , 2006 .

[260]  Janez Demsar,et al.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[261]  E. Levitas,et al.  Survival and the introduction of new technology: A patent analysis in the integrated circuit industry , 2006 .

[262]  Wendy Hall,et al.  The Semantic Web Revisited , 2006, IEEE Intelligent Systems.

[263]  Lee W. Lacy.  OWL: Representing Information Using the Web Ontology Language , 2006 .

[264]  Ji Zhang,et al.  Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance , 2006, Knowledge and Information Systems.

[265]  Zhan Li,et al.  Knowledge and Information Systems , 2007 .

[266]  Fabrice Guillet,et al.  Interactive visual exploration of association rules with rule-focusing methodology , 2007, Knowledge and Information Systems.

[267]  Wolfgang Nejdl,et al.  Efficient Parallel Computation of PageRank , 2006, ECIR.

[268]  Phyllis Schumacher,et al.  Academic Attributes of College Freshmen That Lead to Success in Actuarial Studies in a Business College , 2006 .

[269]  Amy Nicole Langville,et al.  Google's PageRank and beyond - the science of search engine rankings , 2006 .

[270]  Jan L. G. Dietz,et al.  The pragmatic web: a manifesto , 2006, CACM.

[271]  Krzysztof Ciesielski,et al.  Text Data Clustering by Contextual Graphs , 2006, Discovery Science.

[272]  Chihiro Watanabe,et al.  A new dimension of potential resources in innovation: A wider scope of patent claims can lead to new functionality development , 2006 .

[273]  Marcus Herzog,et al.  Using Ontologies for Extracting Product Features from Web Pages , 2006, SEMWEB.

[274]  Gregory K. Leonard,et al.  Real Options and Patent Damages: The Legal Treatment of Non-Infringing Alternatives, and Incentives to Innovate , 2006 .

[275]  Chein-Shung Hwang,et al.  Fuzzy Collaborative Filtering for Web Page Prediction , 2006, JCIS.

[276]  John F. Roddick,et al.  CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets , 2007, AIDM.

[277]  Changsheng Xie,et al.  A New Method of Pefetching I/O Requests , 2007, 2007 International Conference on Networking, Architecture, and Storage (NAS 2007).

[278]  Hsinchun Chen,et al.  Automatic patent classification using citation network information: an experimental study in nanotechnology , 2007, JCDL '07.

[279]  Junliang Chen,et al.  ODDC: Outlier Detection Using Distance Distribution Clustering , 2007, PAKDD Workshops.

[280]  Lisa Singh,et al.  Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels , 2007, 2007 11th International Conference Information Visualization (IV '07).

[281]  Jeff G. Schneider,et al.  Detecting anomalous records in categorical datasets , 2007, KDD '07.

[282]  Jaime S. Cardoso,et al.  Learning to Classify Ordinal Data: The Data Replication Method , 2007, J. Mach. Learn. Res..

[283]  Rodrigo Lopez,et al.  Clustal W and Clustal X version 2.0 , 2007, Bioinform..

[284]  Krzysztof Ciesielski,et al.  Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering , 2007, IDA.

[285]  Mitsuru Ishizuka,et al.  Extracting Social Networks Among Various Entities on the Web , 2007, ESWC.

[286]  Yongtae Park,et al.  A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology , 2007 .

[287]  Qiang Shen,et al.  Fuzzy-Rough Sets Assisted Attribute Selection , 2007, IEEE Transactions on Fuzzy Systems.

[288]  Hongyuan Zha,et al.  Discovering Temporal Communities from Social Network Documents , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

[289]  Long Wang,et al.  Social dilemmas in an online social network: The structure and evolution of cooperation , 2007, physics/0701323.

[290]  Michael K. Ng,et al.  An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data , 2007, IEEE Transactions on Knowledge and Data Engineering.

[291]  Nitin Aggarwal,et al.  The problem of distributed intellectual property bundles: a transaction cost perspective , 2007, ICEC.

[292]  Sebastião J. Formosinho,et al.  Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering , 2007 .

[293]  Jung-Min Park,et al.  An overview of anomaly detection techniques: Existing solutions and latest technological trends , 2007, Comput. Networks.

[294]  Cali M. Davis,et al.  Data Mining Applications in Higher Education , 2007 .

[295]  K. Thangavel,et al.  Rough Set Based Feature Selection for Web Usage Mining , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).

[296]  Rodrigo Lopez,et al.  Web Services at the European Bioinformatics Institute , 2007, Nucleic Acids Res..

[297]  Fabrício Olivetti de França,et al.  Applying Biclustering to Perform Collaborative Filtering , 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

[298]  Stefan Schlobach,et al.  An Empirical Study of Instance-Based Ontology Matching , 2007, ISWC/ASWC.

[299]  Jon Oberlander,et al.  Identifying more bloggers: Towards large scale personality classification of personal weblogs , 2007, ICWSM.

[300]  Myriam Mariani,et al.  “Stacking” and “picking” inventions: The patenting behavior of European inventors , 2007 .

[301]  Gwo-Hshiung Tzeng,et al.  Rough Set Theory in analyzing the attributes of combination values for the insurance market , 2007, Expert Syst. Appl..

[302]  Xueqi Cheng,et al.  Text Feature Ranking Based on Rough-set Theory , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

[303]  Jure Leskovec,et al.  The dynamics of viral marketing , 2005, EC '06.

[304]  Bing Liu,et al.  Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.

[305]  Pamela Samuelson.  Software patents and the metaphysics of Section 271(f) , 2007, CACM.

[306]  Hsinchun Chen,et al.  A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce , 2007, IEEE Intelligent Systems.

[307]  Gilad Mishne.  Using Blog Properties to Improve Retrieval , 2007, ICWSM.

[308]  Takuichi Nishimura,et al.  Robust Estimation of Google Counts for Social Network Extraction , 2007, AAAI.

[309]  Tobun Dorbin Ng,et al.  Terrorism and Crime Related Weblog Social Network: Link, Content Analysis and Information Visualization , 2007, 2007 IEEE Intelligence and Security Informatics.

[310]  Martin Hepp,et al.  Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies , 2007, IEEE Internet Computing.

[311]  Haibin Liu,et al.  Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users' future requests , 2007, Data Knowl. Eng..

[312]  Nadine Meskens,et al.  Predicting Academic Performance by Data Mining Methods , 2007 .

[313]  Georgios C. Anagnostopoulos,et al.  A Scalable and Efficient Outlier Detection Strategy for Categorical Data , 2007 .

[314]  Pourang Irani,et al.  FIsViz: A Frequent Itemset Visualizer , 2008, PAKDD.

[315]  Antonio Badia,et al.  A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites , 2008, IEEE Transactions on Knowledge and Data Engineering.

[316]  Vallipuram Muthukkumarasamy,et al.  Substantiating Security Threats Using Group Outlier Detection Techniques , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[317]  Bernard De Baets,et al.  On the random generation of monotone data sets , 2008, Inf. Process. Lett..

[318]  C. Davino,et al.  Visual Mining of Association Rules , 2008, Visual Data Mining.

[319]  Theresa Beaubouef,et al.  Rough set uncertainty for robotic systems , 2008 .

[320]  Yilu Liu,et al.  Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers , 2008 .

[321]  Jiye Liang,et al.  Converse approximation and rule extraction from decision tables in rough set theory , 2008, Comput. Math. Appl..

[322]  Juan-Zi Li,et al.  Extraction and mining of an academic social network , 2008, WWW.

[323]  Carson Kai-Sang Leung,et al.  A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data , 2008, PAKDD.

[324]  Nathalie Aussenac-Gilles,et al.  Combining Link and Content Information for Scientific Topics Discovery , 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

[325]  Srinivasan Parthasarathy,et al.  Fast mining of distance-based outliers in high-dimensional datasets , 2008, Data Mining and Knowledge Discovery.

[326]  Paul Buitelaar,et al.  Ontology-based information extraction and integration from heterogeneous data sources , 2008, Int. J. Hum. Comput. Stud..

[327]  Bernard De Baets,et al.  ROC analysis in ordinal regression learning , 2008, Pattern Recognit. Lett..

[328]  Vipin Kumar,et al.  Similarity Measures for Categorical Data: A Comparative Evaluation , 2008, SDM.

[329]  Ira Assent,et al.  OutRank: ranking outliers in high dimensional data , 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

[330]  Chun-Che Huang,et al.  A hybrid data mining approach to quality assurance of manufacturing process , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[331]  Pourang Irani,et al.  WiFIsViz: Effective Visualization of Frequent Itemsets , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[332]  Chin-Hwa Kuo,et al.  Concept-Based Pages Recommendation by Using Cluster Algorithm , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[333]  Raghu Ramakrishnan,et al.  Toward best-effort information extraction , 2008, SIGMOD Conference.

[334]  Athena Vakali,et al.  Time-Aware Web Users' Clustering , 2008, IEEE Transactions on Knowledge and Data Engineering.

[335]  Marko Robnik-Sikonja,et al.  Explaining Classifications For Individual Instances , 2008, IEEE Transactions on Knowledge and Data Engineering.

[336]  Tanya Y. Berger-Wolf,et al.  Mining Periodic Behavior in Dynamic Social Networks , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[337]  Ying Liu,et al.  Region-based image retrieval with high-level semantics using decision tree learning , 2008, Pattern Recognit..

[338]  K. Thangavel,et al.  Improved Visual Clustering through Unsupervised Dimensionality Reduction , 2009, RSFDGrC.

[339]  Gilles Pesant,et al.  Distributed search for supply chain coordination , 2009, Comput. Ind..

[340]  K. Thangavel,et al.  Mining and Analysis of Clickstream Patterns , 2009, Foundations of Computational Intelligence.

[341]  Tobias Schreck,et al.  Visual Cluster Analysis of Trajectory Data with Interactive Kohonen Maps , 2009 .

[342]  Li Yang.  Visual Association Rules , 2009, Encyclopedia of Database Systems.

[343]  Eric D. Kolaczyk,et al.  Statistical Analysis of Network Data: Methods and Models , 2009 .

[344]  VARUN CHANDOLA,et al.  Anomaly detection: A survey , 2009, CSUR.

[345]  Yong Shi,et al.  A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis , 2009, Expert Syst. Appl..

[346]  K. Thangavel,et al.  Entropy Weighting Feature Selection for Interactive Visual Clustering , 2009, IICAI.

[347]  Carson Kai-Sang Leung,et al.  Mining of Frequent Itemsets from Streams of Uncertain Data , 2009, 2009 IEEE 25th International Conference on Data Engineering.

[348]  Michael Georgiopoulos,et al.  A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes , 2010, Data Mining and Knowledge Discovery.

[349]  Ying Liu,et al.  Cluster-based outlier detection , 2009, Ann. Oper. Res..

[350]  Denis Lalanne,et al.  Surveying the complementary role of automatic data analysis and visualization in knowledge discovery , 2009, VAKD '09.

[351]  Yi Wang,et al.  The Social Network Mining of BBS , 2009, J. Networks.

[352]  Philip S. Yu,et al.  A Survey of Uncertain Data Algorithms and Applications , 2009, IEEE Transactions on Knowledge and Data Engineering.

[353]  Sung-Hyon Myaeng,et al.  Automatic discovery of technology trends from patent text , 2009, SAC '09.

[354]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[355]  K. Thangavel,et al.  Feature Selection for Visual Clustering , 2009, 2009 International Conference on Advances in Recent Technologies in Communication and Computing.

[356]  Wai Lam,et al.  An unsupervised method for joint information extraction and feature mining across different Web sites , 2009, Data Knowl. Eng..

[357]  Koen Vanhoof,et al.  Ordinal Evaluation: A New Perspective on Country Images , 2009, ICDM.

[358]  Carson Kai-Sang Leung,et al.  FpViz: a visualizer for frequent pattern mining , 2009, VAKD '09.

[359]  Bing Liu.  Classification by Association Rule Analysis , 2009, Encyclopedia of Database Systems.

[360]  Harleen Kaur,et al.  An Integrated Approach in Medical Decision-Making for Eliciting Knowledge , 2010, Web-Based Applications in Healthcare and Biomedicine.

[361]  Kara Dolinski,et al.  Saccharomyces Genome Database provides mutant phenotype data , 2009, Nucleic Acids Res..

[362]  Carson Kai-Sang Leung,et al.  Exploring Social Networks: A Frequent Pattern Visualization Approach , 2010, 2010 IEEE Second International Conference on Social Computing.

[363]  Florin Gorunescu,et al.  Classification and Decision Trees , 2011 .

[364]  Guus Schreiber.  Principles for Knowledge Engineering on the Web , 2011, KDIR.

[365]  Daniel Rivero,et al.  Database Analysis with ANNs by means of Graph Evolution , 2011 .

[366]  Anca Doloc-Mihu.  Interactive Visualization Tool for Analysis of Large Image Databases , 2011 .

[367]  Riadh Hammami,et al.  Use of SciDBMaker as Tool for the Design of Specialized Biological Databases , 2013 .

[368]  Vipin Kumar,et al.  Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.