Survey on using constraints in data mining
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[1] Guoyin Wang,et al. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing , 2013, Lecture Notes in Computer Science.
[2] Enhong Chen,et al. Efficient strategies for tough aggregate constraint-based sequential pattern mining , 2008, Inf. Sci..
[3] Tadeusz Morzy,et al. SQL-Like Language for Database Mining , 1997, ADBIS.
[4] Salvatore Orlando,et al. ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[5] Joong Hyuk Chang,et al. Mining weighted sequential patterns in a sequence database with a time-interval weight , 2011, Knowl. Based Syst..
[6] Hayato Yamana,et al. Generalized Sequential Pattern Mining with Item Intervals , 2006, J. Comput..
[7] Keun Ho Ryu,et al. Discovering Important Sequential Patterns with Length-Decreasing Weighted Support Constraints , 2010, Int. J. Inf. Technol. Decis. Mak..
[8] Luc De Raedt,et al. A perspective on inductive databases , 2002, SKDD.
[9] Yen-Liang Chen,et al. Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data , 2009, Electron. Commer. Res. Appl..
[10] Siegfried Nijssen,et al. Mining optimal decision trees from itemset lattices , 2007, KDD '07.
[11] Jean-François Boulicaut,et al. Mining Frequent Sequential Patterns under Regular Expressions: A Highly Adaptive Strategy for Pushing Contraints , 2003, SDM.
[12] Pan e Panov,et al. Inductive Databases and Constraint-Based Data Mining , 2010 .
[13] Ronen Feldman,et al. The Data Mining and Knowledge Discovery Handbook , 2005 .
[14] Tomasz Imielinski,et al. MSQL: A Query Language for Database Mining , 1999, Data Mining and Knowledge Discovery.
[15] Ian Davidson,et al. When Is Constrained Clustering Beneficial, and Why? , 2006, AAAI.
[16] Fan Wu,et al. Considering RFM-values of frequent patterns in transactional databases , 2010, The 2nd International Conference on Software Engineering and Data Mining.
[17] Dan Roth,et al. Constraint Classification: A New Approach to Multiclass Classification , 2002, ALT.
[18] Fionn Murtagh,et al. Weighted Association Rule Mining using weighted support and significance framework , 2003, KDD '03.
[19] P. Hansen,et al. A survey on exact methods for minimum sum-of-squares clustering , 2008 .
[20] Kyuseok Shim,et al. Building Decision Trees with Constraints , 2001 .
[21] Ho-Jin Choi,et al. Single-pass incremental and interactive mining for weighted frequent patterns , 2012, Expert Syst. Appl..
[22] Ian Davidson,et al. Measuring Constraint-Set Utility for Partitional Clustering Algorithms , 2006, PKDD.
[23] Elena Baralis,et al. Index support for frequent itemset mining in a relational DBMS , 2005, 21st International Conference on Data Engineering (ICDE'05).
[24] F. Bonchi,et al. Extending the state-of-the-art of constraint-based pattern discovery , 2007, Data Knowl. Eng..
[25] Cláudia Antunes,et al. Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints , 2003, MLDM.
[26] Giuseppe Psaila,et al. An XML-Based Database for Knowledge Discovery , 2009, Selected Readings on Database Technologies and Applications.
[27] Wei Wang,et al. Clustering with relative constraints , 2011, KDD.
[28] Francesco Bonchi,et al. Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers , 2006, KDID.
[29] Giuseppe Psaila,et al. An Extension to SQL for Mining Association Rules , 1998, Data Mining and Knowledge Discovery.
[30] Philip S. Yu,et al. Efficient mining of weighted association rules (WAR) , 2000, KDD '00.
[31] Anne Laurent,et al. Mining multidimensional and multilevel sequential patterns , 2010, TKDD.
[32] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[33] Sabrina De Capitani di Vimercati,et al. Specification and enforcement of classification and inference constraints , 1999, Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344).
[34] Guoyin Wang,et al. On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints , 2012, IPMU.
[35] Mohammed J. Zaki. Sequence mining in categorical domains: incorporating constraints , 2000, CIKM '00.
[36] Chetna Chand,et al. Sequential Pattern Mining : Survey and Current Research Challenges , 2012 .
[37] S. S. Ravi,et al. Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results , 2009, Data Mining and Knowledge Discovery.
[38] Hendrik Blockeel,et al. An inductive database prototype based on virtual mining views , 2008, KDD.
[39] S. S. Ravi,et al. The complexity of non-hierarchical clustering with instance and cluster level constraints , 2007, Data Mining and Knowledge Discovery.
[40] Jiawei Han,et al. Divide-and-approximate: a novel constraint push strategy for iceberg cube mining , 2005, IEEE Transactions on Knowledge and Data Engineering.
[41] ZhangJian,et al. A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification , 2006 .
[42] Thorsten Joachims,et al. Learning a Distance Metric from Relative Comparisons , 2003, NIPS.
[43] T Purusothaman,et al. UTILITY SENTIENT FREQUENT ITEM SET MINING AND ASSOCIATION RULE MINING: A LITERATURE SURVEY AND COMPARATIVE STUDY , 2009 .
[44] Cory J. Butz,et al. A Foundational Approach to Mining Itemset Utilities from Databases , 2004, SDM.
[45] Arindam Banerjee,et al. Active Semi-Supervision for Pairwise Constrained Clustering , 2004, SDM.
[46] Bart Goethals,et al. Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[47] Franco Turini,et al. Inductive database languages: requirements and examples , 2011, Knowledge and Information Systems.
[48] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[49] Andrea Bellandi,et al. Ontological support for Association Rule Mining , 2008 .
[50] Roman Slowinski,et al. Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints , 2010, IPMU.
[51] Ingo Mierswa,et al. YALE: rapid prototyping for complex data mining tasks , 2006, KDD '06.
[52] Zhenguo Li,et al. Constrained clustering via spectral regularization , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Jean-François Boulicaut,et al. Data Mining Query Languages , 2005, Data Mining and Knowledge Discovery Handbook.
[54] Kyuseok Shim,et al. SPIRIT: Sequential Pattern Mining with Regular Expression Constraints , 1999, VLDB.
[55] Deepa Paranjpe,et al. Semi-supervised clustering with metric learning using relative comparisons , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[56] Joachim M. Buhmann,et al. Learning with constrained and unlabelled data , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[57] Andreas Fischer,et al. Pairwise support vector machines and their application to large scale problems , 2012, J. Mach. Learn. Res..
[58] Claire Cardie,et al. Clustering with Instance-Level Constraints , 2000, AAAI/IAAI.
[59] Jason Eisner,et al. Modeling Annotators: A Generative Approach to Learning from Annotator Rationales , 2008, EMNLP.
[60] Surajit Chaudhuri,et al. Integrating data mining with SQL databases: OLE DB for data mining , 2001, Proceedings 17th International Conference on Data Engineering.
[61] Cláudia Antunes. Pattern Mining over Star Schemas in the Onto4AR Framework , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[62] Cláudia Antunes,et al. Constraint Relaxations for Discovering Unknown Sequential Patterns , 2004, KDID.
[63] Saso Dzeroski,et al. Decision trees for hierarchical multi-label classification , 2008, Machine Learning.
[64] Joydeep Ghosh,et al. Relationship-Based Clustering and Visualization for High-Dimensional Data Mining , 2003, INFORMS J. Comput..
[65] Keun Ho Ryu,et al. Approximate weighted frequent pattern mining with/without noisy environments , 2011, Knowl. Based Syst..
[66] Ian Davidson,et al. Constrained Clustering: Advances in Algorithms, Theory, and Applications , 2008 .
[67] WuChieh-Ming,et al. Generalized association rule mining using an efficient data structure , 2011 .
[68] Sunita Sarawagi,et al. Integrating association rule mining with relational database systems: alternatives and implications , 1998, SIGMOD '98.
[69] Hsin-Hung Wu,et al. A review of the application of RFM model , 2010 .
[70] Seiji Yamada,et al. Clustering by Learning Constraints Priorities , 2012, 2012 IEEE 12th International Conference on Data Mining.
[71] Laks V. S. Lakshmanan,et al. Pushing Convertible Constraints in Frequent Itemset Mining , 2004, Data Mining and Knowledge Discovery.
[72] Dino Pedreschi,et al. Logic-Based Knowledge Discovery in Databases , 2000, EJC.
[73] Alfred O. Hero,et al. Classification constrained dimensionality reduction , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[74] Raymond J. Mooney,et al. A probabilistic framework for semi-supervised clustering , 2004, KDD.
[75] Indrajit Bhattacharya,et al. Using Assignment Constraints to Avoid Empty Clusters in k-Means Clustering , 2008 .
[76] Céline Fiot,et al. Softening the blow of frequent sequence analysis: soft constraints and temporal accuracy , 2009, Int. J. Web Eng. Technol..
[77] Thanaruk Theeramunkong,et al. A new method for finding generalized frequent itemsets in generalized association rule mining , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.
[78] John J. Leggett,et al. WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight , 2005, SDM.
[79] Jiawei Han,et al. Meta-Rule-Guided Mining of Association Rules in Relational Databases , 1995, KDOOD/TDOOD.
[80] Kweku-Muata Osei-Bryson,et al. Using ontologies to facilitate post-processing of association rules by domain experts , 2011, Inf. Sci..
[81] Ayhan Demiriz,et al. Constrained K-Means Clustering , 2000 .
[82] Fei Wang,et al. Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations , 2009, SDM.
[83] Luc De Raedt,et al. The MiningZinc Framework for Constraint-Based Itemset Mining , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[84] Francesca Rossi,et al. Semiring-based constraint satisfaction and optimization , 1997, JACM.
[85] Bruno Crémilleux,et al. Optimizing constraint-based mining by automatically relaxing constraints , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[86] Bruno Crémilleux,et al. Summarizing Contrasts by Recursive Pattern Mining , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[87] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[88] Laks V. S. Lakshmanan,et al. Constraint-Based Multidimensional Data Mining , 1999, Computer.
[89] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[90] Yin-Fu Huang,et al. Generalized association rule mining using an efficient data structure , 2011, Expert Syst. Appl..
[91] Ramakrishnan Srikant,et al. Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.
[92] Jian Pei,et al. Can we push more constraints into frequent pattern mining? , 2000, KDD '00.
[93] Daniel Kifer,et al. DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints , 2002, Data Mining and Knowledge Discovery.
[94] Rakesh Agrawal,et al. Learning spatially variant dissimilarity (SVaD) measures , 2004, KDD '04.
[95] Joydeep Ghosh,et al. Scalable Clustering Algorithms with Balancing Constraints , 2006, Data Mining and Knowledge Discovery.
[96] Joydeep Ghosh,et al. Model-based clustering with soft balancing , 2003, Third IEEE International Conference on Data Mining.
[97] Franco Turini,et al. XML data mining , 2010, Softw. Pract. Exp..
[98] Heikki Mannila,et al. A database perspective on knowledge discovery , 1996, CACM.
[99] Fabrice Guillet,et al. Knowledge-Based Interactive Postmining of Association Rules Using Ontologies , 2010, IEEE Transactions on Knowledge and Data Engineering.
[100] Peter J. Stuckey,et al. MiniZinc: Towards a Standard CP Modelling Language , 2007, CP.
[101] Tias Guns,et al. Constrained Clustering Using Column Generation , 2014, CPAIOR.
[102] Andreas Nürnberger,et al. Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy , 2008, SDM.
[103] Ana Fred. Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings , 2004 .
[104] Bruno Crémilleux,et al. Mining constraint-based patterns using automatic relaxation , 2009, Intell. Data Anal..
[105] Anil K. Jain,et al. Model-based Clustering With Probabilistic Constraints , 2005, SDM.
[106] Laks V. S. Lakshmanan,et al. Erratum: Pushing convertible constraints in frequent itemset mining (Data Mining and Knowledge Discovery: An International Journal (May 2004) 8:3 (227-252)) , 2006 .
[107] Philip S. Yu,et al. Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases , 2013, IEEE Transactions on Knowledge and Data Engineering.
[108] Hendrik Blockeel,et al. An inductive database system based on virtual mining views , 2011, Data Mining and Knowledge Discovery.
[109] Unil Yun,et al. A new framework for detecting weighted sequential patterns in large sequence databases , 2008, Knowl. Based Syst..
[110] Rong Yan,et al. On the value of pairwise constraints in classification and consistency , 2007, ICML '07.
[111] Xin Tong,et al. Neyman-Pearson classification under a strict constraint , 2011, COLT.
[112] Amit Thakkar,et al. Target Oriented Sequential Pattern Mining using Recency and Monetary Constraints , 2012 .
[113] Jian Pei,et al. Constraint-based sequential pattern mining: the pattern-growth methods , 2007, Journal of Intelligent Information Systems.
[114] Atsushi Imiya,et al. Structural, Syntactic, and Statistical Pattern Recognition , 2012, Lecture Notes in Computer Science.
[115] Luc De Raedt,et al. Constraint Programming for Data Mining and Machine Learning , 2010, AAAI.
[116] Umeshwar Dayal,et al. Multi-dimensional sequential pattern mining , 2001, CIKM '01.
[117] Jean-François Boulicaut,et al. Optimization of association rule mining queries , 2002, Intell. Data Anal..
[118] Olivier Siohan,et al. Multiple classifiers by constrained minimization , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[119] Hendrik Blockeel,et al. Integrating Decision Tree Learning into Inductive Databases , 2006, KDID.
[120] Claire Cardie,et al. Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .
[121] Ian Davidson,et al. On constrained spectral clustering and its applications , 2012, Data Mining and Knowledge Discovery.
[122] Peter J. Stuckey,et al. The Design of the Zinc Modelling Language , 2008, Constraints.
[123] Shie Mannor,et al. Online Classification with Specificity Constraints , 2010, NIPS.
[124] Bernadette Bouchon-Meunier,et al. An Efficient Active Constraint Selection Algorithm for Clustering , 2010, 2010 20th International Conference on Pattern Recognition.
[125] Daniel Aloise. Exact algorithms for minimum sum-of-squares clustering , 2009 .
[126] J. R. Bult,et al. Optimal Selection for Direct Mail , 1995 .
[127] Andreas Nürnberger,et al. Personalized Hierarchical Clustering , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).
[128] Toon Calders,et al. Mining Views: Database Views for Data Mining , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[129] Ramakrishnan Srikant,et al. Mining generalized association rules , 1995, Future Gener. Comput. Syst..
[130] A. J. Feelders,et al. Nearest Neighbour Classification with Monotonicity Constraints , 2008, ECML/PKDD.
[131] H. Jaap van den Herik,et al. The ROC isometrics approach to construct reliable classifiers , 2009, Intell. Data Anal..
[132] Suh-Yin Lee,et al. Efficient mining of sequential patterns with time constraints by delimited pattern growth , 2005, Knowledge and Information Systems.
[133] Ian Davidson,et al. Flexible constrained spectral clustering , 2010, KDD.
[134] Chia-Wen Chang,et al. Fast discovery of sequential patterns in large databases using effective time-indexing , 2008, Inf. Sci..
[135] Franco Turini,et al. KDDML: A middleware language and system for knowledge discovery in databases , 2006, Data Knowl. Eng..
[136] Raymond J. Mooney,et al. Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.
[137] Laks V. S. Lakshmanan,et al. Optimization of constrained frequent set queries with 2-variable constraints , 1999, SIGMOD '99.
[138] Elena Baralis,et al. Answering XML queries by means of data summaries , 2007, TOIS.
[139] Hendrik Blockeel,et al. SCCQL: A constraint-based clustering system , 2013 .
[140] Andrea Bellandi,et al. Ontology-driven Association Rules Extraction: a Case of Study , 2007, C&O:RR.
[141] Siegfried Nijssen,et al. Optimal constraint-based decision tree induction from itemset lattices , 2010, Data Mining and Knowledge Discovery.
[142] Shichao Zhang,et al. Association Rule Mining: Models and Algorithms , 2002 .
[143] Peter A. Flach,et al. Evaluation Measures for Multi-class Subgroup Discovery , 2009, ECML/PKDD.
[144] Wei Wang,et al. DMQL: A Data Mining Query Language for Relational Databases , 2007 .
[145] Myra Spiliopoulou,et al. Density-based semi-supervised clustering , 2010, Data Mining and Knowledge Discovery.
[146] Jean-François Boulicaut,et al. Optimizing subset queries: a step towards SQL-based inductive databases for itemsets , 2004, SAC '04.
[147] Carla E. Brodley,et al. The Constrained Weight Space SVM: Learning with Ranked Features , 2011, ICML.
[148] Tomer Hertz,et al. Learning Distance Functions using Equivalence Relations , 2003, ICML.
[149] Dino Pedreschi,et al. ExAnte: a preprocessing method for frequent-pattern mining , 2005, IEEE Intelligent Systems.
[150] Ian Witten,et al. Data Mining , 2000 .
[151] Ayhan Demiriz,et al. Clustering with Balancing Constraints , 2008 .
[152] Simon Lucey,et al. Nearest neighbor classifier generalization through spatially constrained filters , 2013, Pattern Recognit..
[153] Rong Yan,et al. A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification , 2006, IEEE Trans. Pattern Anal. Mach. Intell..
[154] Zhengdong Lu,et al. Penalized Probabilistic Clustering , 2007, Neural Computation.
[155] Dan Klein,et al. From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering , 2002, ICML.
[156] Rich Caruana,et al. Improving Classification with Pairwise Constraints: A Margin-Based Approach , 2008, ECML/PKDD.
[157] Bernhard Rumpe,et al. Software Engineering and Formal Methods - SEFM 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers , 2015 .
[158] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[159] Dimitri P. Bertsekas,et al. Linear network optimization - algorithms and codes , 1991 .
[160] Luc De Raedt,et al. Itemset mining: A constraint programming perspective , 2011, Artif. Intell..
[161] Stefan Kramer,et al. An inductive database and query language in the relational model , 2008, EDBT '08.
[162] Jinglu Hu,et al. Combining binary-SVM and pairwise label constraints for multi-label classification , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.
[163] Carlo Zaniolo,et al. Query Languages and Data Models for Database Sequences and Data Streams , 2004, VLDB.
[164] Luc De Raedt,et al. MiningZinc: A Modeling Language for Constraint-Based Mining , 2013, IJCAI.
[165] Ramakrishnan Srikant,et al. Mining Association Rules with Item Constraints , 1997, KDD.
[166] S. S. Ravi,et al. Clustering with Constraints: Feasibility Issues and the k-Means Algorithm , 2005, SDM.
[167] Thi-Bich-Hanh Dao,et al. Constrained Minimum Sum of Squares Clustering by Constraint Programming , 2015, CP.
[168] Das Amrita,et al. Mining Association Rules between Sets of Items in Large Databases , 2013 .
[169] Stefano Bistarelli,et al. Soft constraint based pattern mining , 2007, Data Knowl. Eng..
[170] Franco Turini,et al. Programming the KDD Process using XQuery , 2011, KDIR.
[171] Mario Cannataro,et al. Protein-to-protein interactions: Technologies, databases, and algorithms , 2010, CSUR.
[172] Chengqi Zhang,et al. Association Rule Mining , 2002, Lecture Notes in Computer Science.
[173] Anil K. Jain,et al. Clustering with Soft and Group Constraints , 2004, SSPR/SPR.
[174] Gideon S. Mann,et al. Learning from labeled features using generalized expectation criteria , 2008, SIGIR '08.
[175] Jean-François Boulicaut,et al. Closed patterns meet n-ary relations , 2009, TKDD.
[176] Weizhong Yan,et al. Designing classifier ensembles with constrained performance requirements , 2004, SPIE Defense + Commercial Sensing.
[177] M. Teisseire,et al. Efficient mining of sequential patterns with time constraints: Reducing the combinations , 2009, Expert Syst. Appl..
[178] Howard J. Hamilton,et al. A density-based spatial clustering for physical constraints , 2011, Journal of Intelligent Information Systems.
[179] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[180] Luc De Raedt,et al. k-Pattern Set Mining under Constraints , 2013, IEEE Transactions on Knowledge and Data Engineering.
[181] Günther Palm,et al. On the Effects of Constraints in Semi-supervised Hierarchical Clustering , 2006, ANNPR.
[182] Johannes Fürnkranz,et al. Multi-Label Classification with Label Constraints , 2008 .
[183] S. S. Ravi,et al. Identifying and Generating Easy Sets of Constraints for Clustering , 2006, AAAI.
[184] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[185] Xin Tong,et al. Neyman-Pearson Classification, Convexity and Stochastic Constraints , 2011, J. Mach. Learn. Res..
[186] Keun Ho Ryu,et al. An efficient mining algorithm for maximal weighted frequent patterns in transactional databases , 2012, Knowl. Based Syst..
[187] Olegas Vasilecas,et al. Advances in Databases and Information Systems (ADBIS) , 2002, SIGMOD Rec..
[188] Jeong Hee Hwang,et al. Ontology Based Service Frequent Pattern Mining , 2014 .
[189] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[190] Nizar R. Mabroukeh,et al. A taxonomy of sequential pattern mining algorithms , 2010, CSUR.
[191] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[192] Luca Cagliero,et al. Generalized association rule mining with constraints , 2012, Inf. Sci..
[193] Valerio Grossi,et al. XQuake as a Constraint-Based Mining Language , 2012 .
[194] S. S. Ravi,et al. Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results , 2005, PKDD.
[195] Ya-Han Hu,et al. Mining Sequential Patterns With Consideration To Recency, Frequency, And Monetary , 2011, PACIS.
[196] Dorian Pyle,et al. Data Preparation for Data Mining , 1999 .
[197] Joydeep Ghosh,et al. Scalable, Balanced Model-based Clustering , 2003, SDM.
[198] Ruggero G. Pensa,et al. Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data , 2005, KDID.
[199] Jean-François Boulicaut,et al. Constraint-based Data Mining , 2005, Data Mining and Knowledge Discovery Handbook.
[200] Fadila Bentayeb,et al. Decision Tree Modeling with Relational Views , 2002, ISMIS.
[201] Jiawei Han,et al. Mining Multiple-Level Association Rules in Large Databases , 1999, IEEE Trans. Knowl. Data Eng..
[202] Thi-Bich-Hanh Dao,et al. A Declarative Framework for Constrained Clustering , 2013, ECML/PKDD.
[203] Chin-Chen Chang,et al. Isolated items discarding strategy for discovering high utility itemsets , 2008, Data Knowl. Eng..
[204] Yuejin Zhang,et al. A Survey of Interestingness Measures for Association Rules , 2009, 2009 International Conference on Business Intelligence and Financial Engineering.
[205] Franco Turini,et al. Clustering Formulation Using Constraint Optimization , 2015, SEFM Workshops.
[206] James Saunderson,et al. Spectral clustering with inconsistent advice , 2008, ICML '08.
[207] Guoyin Wang,et al. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing , 2003, Lecture Notes in Computer Science.
[208] Carson Kai-Sang Leung,et al. Mining uncertain data for frequent itemsets that satisfy aggregate constraints , 2010, SAC '10.
[209] Miguel Á. Carreira-Perpiñán,et al. Constrained spectral clustering through affinity propagation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[210] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[211] Ian Davidson,et al. Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach , 2011, KDD.
[212] Jean-François Boulicaut,et al. Closed and noise-tolerant patterns in n-ary relations , 2012, Data Mining and Knowledge Discovery.