A Roadmap for Web Mining

Auch erschienen in: Berendt, Bettina u.a. (Hrsg.): Web mining: from web to semantic web. (Lecture notes in computer science ; 3209). Berlin u.a. : Springer, 2004. S. 1-22. ISBN 3-540-23258-3 (The original publication is available at www.springerlink.com)

[1]  John F. Roddick,et al.  A Survey of Temporal Knowledge Discovery Paradigms and Methods , 2002, IEEE Trans. Knowl. Data Eng..

[2]  Xiaofeng Meng,et al.  Schema-guided wrapper maintenance for web-data extraction , 2003, WIDM '03.

[3]  Angi Voß,et al.  The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses , 2002, ICDM.

[4]  Gerard Salton,et al.  Research and Development in Information Retrieval , 1982, Lecture Notes in Computer Science.

[5]  Haym Hirsh,et al.  Learning to Predict Rare Events in Event Sequences , 1998, KDD.

[6]  Raymond J. Mooney,et al.  Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction , 2003, J. Mach. Learn. Res..

[7]  Sergio A. Alvarez,et al.  Efficient Adaptive-Support Association Rule Mining for Recommender Systems , 2004, Data Mining and Knowledge Discovery.

[8]  Saso Dzeroski,et al.  Inductive Logic Programming: Techniques and Applications , 1993 .

[9]  Mohammed J. Zaki,et al.  Mining features for sequence classification , 1999, KDD '99.

[10]  Steffen Staab,et al.  International Handbooks on Information Systems , 2013 .

[11]  Bettina Berendt,et al.  Cultural Determinants of Search Behaviour on Websites , 2004, IWIPS.

[12]  Michael F. Schwartz,et al.  Discovering shared interests using graph analysis , 1993, CACM.

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

[14]  Alexandre V. Evfimievski,et al.  Privacy preserving mining of association rules , 2002, Inf. Syst..

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

[16]  Vijay S. Iyengar,et al.  Transforming data to satisfy privacy constraints , 2002, KDD.

[17]  Steffen Staab,et al.  Explaining Text Clustering Results Using Semantic Structures , 2003, PKDD.

[18]  Hans Chalupsky,et al.  OntoMorph: A Translation System for Symbolic Knowledge , 2000, KR.

[19]  Maurice Mulvenna,et al.  Navigation Pattern Discovery from Internet Data , 1999 .

[20]  Dunja Mladenic,et al.  Data mining and decision support : integration and collaboration , 2003 .

[21]  Steffen Staab,et al.  WordNet improves text document clustering , 2003, SIGIR 2003.

[22]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

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

[24]  Tim Berners-Lee,et al.  Weaving The Web: The Original Design And Ultimate Destiny of the World Wide Web , 1999 .

[25]  Hannu Toivonen,et al.  Automated Detection of Epidemics from the Usage Logs of a Physicians' Reference Database , 2003, PKDD.

[26]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[27]  Gabriel Yihune Evaluation eines medizinischen Informationssystems im World Wide Web: Nutzungsanalyse am Beispiel www.dermis.net , 2003 .

[28]  Daphne Koller,et al.  Hierarchically Classifying Documents Using Very Few Words , 1997, ICML.

[29]  Dunja Mladenic Web Browsing Using Machine Learning on Text Data , 2003, Intelligent Exploration of the Web.

[30]  Georgios Paliouras,et al.  An evaluation of Naive Bayesian anti-spam filtering , 2000, ArXiv.

[31]  Ivan Bratko,et al.  Machine Learning and Data Mining; Methods and Applications , 1998 .

[32]  Matthew Richardson,et al.  Mining the network value of customers , 2001, KDD '01.

[33]  George Karypis,et al.  A Comparison of Document Clustering Techniques , 2000 .

[34]  Oren Etzioni,et al.  Adaptive Web Sites: Automatically Synthesizing Web Pages , 1998, AAAI/IAAI.

[35]  Oren Etzioni,et al.  Web document clustering: a feasibility demonstration , 1998, SIGIR '98.

[36]  Andreas Hotho,et al.  Towards Semantic Web Mining , 2002, SEMWEB.

[37]  Gerd Stumme,et al.  FCA-MERGE: Bottom-Up Merging of Ontologies , 2001, IJCAI.

[38]  Myra Spiliopoulou,et al.  A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis , 2003, INFORMS J. Comput..

[39]  Dunja Mladenic,et al.  Feature selection on hierarchy of web documents , 2003, Decis. Support Syst..

[40]  Eduard Hovy,et al.  Combining and standardizing large- scale, practical ontologies for machine tranlation and other uses , 1998, LREC.

[41]  Beng Chin Ooi,et al.  Making Web Servers Pushier , 1999, WEBKDD.

[42]  Constantine D. Spyropoulos,et al.  Machine Learning and Its Applications , 2001, Lecture Notes in Computer Science.

[43]  Steffen Staab,et al.  Comparing conceptual, parti-tional and agglomerative clustering for learning taxonomies from text , 2004 .

[44]  Dayne Freitag,et al.  Boosted Wrapper Induction , 2000, AAAI/IAAI.

[45]  Osmar R. Zaïane,et al.  MDM/KDD: multimedia data mining for the second time , 2002, SKDD.

[46]  Mark A. Musen,et al.  PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment , 2000, AAAI/IAAI.

[47]  Mark Levene,et al.  Data Mining of User Navigation Patterns , 1999, WEBKDD.

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

[49]  Steffen Staab,et al.  Ontology Learning for the Semantic Web , 2002, IEEE Intell. Syst..

[50]  Tom M. Mitchell,et al.  Improving Text Classification by Shrinkage in a Hierarchy of Classes , 1998, ICML.

[51]  Deborah L. McGuinness,et al.  An Environment for Merging and Testing Large Ontologies , 2000, KR.

[52]  Tao Luo,et al.  Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization , 2004, Data Mining and Knowledge Discovery.