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日志总数:18
评论数量:37
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访问次数:136804
建立时间:2007年7月19日




[data mining]A Roadmap to Text Mining and Web Mining
其他

jdilt 发表于 2007/7/21 15:09:26

A Roadmap to Text Mining and Web Mining - Under Construction, Last Modified: Jan 8, 2002 - Text Mining in General M. Hearst, Untangling Text Data Mining, ACL99 Mining in Textual Mountains: An Interview with Marti Hearst, Mappa Mundi, 1999 Semio Co., Text Mining and the Knowledge Management Space, 1999 D. Radev, Text Data Mining: An Overview Workshops PAKDD-2002 Workshop on Text Mining SDM-2002 Text Mining Workshop (Text Mining 2002) ICDM-2001 Workshop on Text Mining (TextDM'2001) SDM-2001 Text Mining Workshop (TextMine'01) KDD-2000 Workshop on Text Mining UMN-IMA Text Mining Workshop (2000) IJCAI-99 Workshop on Text Mining ECML-98 Workshop on Text Mining Tutorials D. Mladenic & M. Grobelink, ECML/PKDD-2001 Tutorial on Text Mining Classes M. Hearst, Seminar on Text Data Mining (SIMS, UCBerkeley) W. Cohen, Machine Learning for Text Mining (LTI, CS, CMU) W. Pratt, Text Mining (ICS, UCI) Links Google Directory: Text Mining Open Directory: Text Mining Web Mining in General R. Kosala et. al, Web Mining Research: A Survey, SIGKDD Explorations, 2000 R. Cooley et. al, Web Mining: Information and Pattern Discovery on the World Wide Web D. Greening, Data Mining on the Web, WebTechniques, 2000 People Sergey Brin Oren Etzioni David W. Embley Filippo Menczer Bamshad Mobasher Workshops ECML/PKDD-2001 Semantic Web Mining Workshop SDM-2001 Workshop on Web Mining PRICAI-2000 Workshop on Text and Web Mining INFWET97 Task-Driven Text Mining Text Categorization Y. Yang, An Evaluation of Statistical Approaches to Text Categorization, Journal of IR, 1999 Andrew McCallum Kamal Nigam David D. Lewis AAAI98 Workshop on Learning for Text Categorization Text Mining, Automatic Classification & Indexing Document Clustering Clustering Text & Useful Scripts Scatter/Gather I. Dhillon, Co-Clustering Documents and Words Using Bipartite Spectral Graph Partitioning, KDD01. Rule Mining from Text H. Ahonen-Myka et. al, Applying Data Mining Techniques in Text Analysis, Technical Report, 1997 R. Feldman et. al, FACT, 1996 R. Feldman et. al, Knowledge Discovery in Texts(KDT), KDD95 Rayid Ghani Heikki Mannila Relationship Mining Y. Park et. al, Hybrid Text Mining for Finding Abbreviations and Their Definitions, EMNLP-2001 N. Sundaresan et. al, Mining the Web for Relations, WWW9, 2000 L. Larkey et. al, Acrophile: An Automated Acronym Extractor and Server, ACM DL-2000 J. Yi et. al, Mining the Web for Acronyms Using the Duality of Patterns and Relations, ACM CIKM-99 Workshop on Web Information and Data Management Topic Detection Chris Clifton Text Segmentation UCBerkeley TextTiling Text Summarization Text Summarization Technology Knowledge Understanding Udo Hahn Text Navigation, Visualization and User Interface UCBerkeley Cat-a-Cone MIT Shakespeare Project Data Visualization Methodology-Driven Text Mining Neural Networks WEBSOM - SOM-based Text Mining D. Merkl et. al, Text Data Mining, In A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text, 1998 Vitali Schetinin Evolutionary Computation A. Freitas, A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery, In Advances in Evolutionary Computation, 2002. Parallel Text Mining J. Chen, Parallel Text Mining for Cross-Language Information Retrieval Using a Statistical Translation Model Hyperlinks Analysis Soumen Chakrabarti, Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text, WWW7, 1998 Application-Driven Text Mining Bioinformatics Text Mining for Bioinformatics Tutorial Text Mining for Molecular Biology Business and Customer Relationship Management(CRM) D. Evans, Text Mining Towards Decision Supports, 1999 C. Halliman, Business Intelligence Using Smart Techniques: Environmental Scanning Using Text Mining and Competitor Analysis Using Scenarios and Manual Simulation Text Mining in the Noisy World Data Mining in the Noisy World Z. Tian et. al, An N-gram-based Approach for Detecting Approximately Duplicate Database Records, International Journal on Digital Libraries, 2001 W. Cohen, Hardening Soft Information Sources, KDD00 M. Hernandez et. al, Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem, Data Mining and Knowledge Discovery, 1998 Merge-Purge and Data Cleaning Machine Learning in the Noisy World P. Domingos, Unifying Instance-Based and Rule-Based Induction, Machine Learning, 1996 C. Janikow, FID: Fuzzy Decision Trees Information Retrieval in the Noisy World G. Bordogna et. al, Modeling Vagueness in Information Retrieval, ESSIR, 2000 Databases in the Noisy World (a.k.a. Information Integration) H. Lu et. al, Discovering and Reconciling Semantic Conflicts: A Data Mining Conflicts, DS-7, 1997 Tools for Text Mining (Or Related Fields) Information Extraction D. Appelt et. al, Introduction to Information Extraction Technology, IJCAI-99 Tutorial H. Cunningham, Information Extraction: A User Guide, Technical Report, 1999 I. Muslea, Extraction Patterns for Information Extraction, AAAI-99 Workshop on Machine Learning for Information Extraction I. Muslea, Extraction Patterns: From Information Extraction to Wrapper Induction, Technical Report, 1998 C. Cardie, Empirical Methods in Information Extraction, AI Magazine, 1997 Repository I. Muslea, RISE: Repository of Information Extraction Workshops AAAI-99 Workshop on Machine Learning for Information Extraction Machine Learning Techniques for Information Extraction M. Califf et. al, Relational Learning of Pattern-Match Rules for Information Extraction, AAAI-99 Mark Craven Tom Mitchell Stephen Soderland Statistical Information Extraction Dayne Freitag Hugo Zaragoza Wrapper Induction N. Kushmerick, Wrapper induction: Efficiency and Expressiveness, Artificial Intelligence, 2000 Information Extraction and Text Mining IJCAI-2001 Workshop on Adaptive Text Extraction and Mining Information Extraction and Information Retrieval J. Bear et. al, Using Information Extraction to Improve Document Retrieval, TREC6, 1997 Natural Language Processing Computational Linguistics Journal COLING-2002 | ACL-2002 C. Manning et. al, Foundataions of Statistical Natural Language Processing D. Jurafsky et. al., Speech and Language Processing LIA Publication Text Mining for Natural Language Processing D. Lin et. al, Discovery of Inference Rules for Question-Answering, Journal of Natural Language Engineering, 2001 D. Lin et. al, Induction of Semantic Classes from Natural Language Text, KDD-2001 Natural Language Processing and Databases NLDB-2002 Machine Learining Machine Learning Journal ICML-2002 Repository UCI Machine Learning Repository Machine Learning on Text UW-Madison: Machine Learning for Text Analysis (2000) ICML-99 Workshop on Machine Learning in Text Data Analysis Information Retrieval Information Retrieval Journal ACM SIGIR-2002 IR Resources WebIR The Center for Intelligent Information Retrieval at UMass R. Baeza-Yates et. al, Modern Information Retrieval Information Retrieval for Text Mining J. Neto et. al, Document Clustering and Text Summarization Information Retrieval on the Web Data Engineering Special Issue on Next-Generation Web Search AAAI-2000 Workshop on AI for Web Search V. Raghavan, Information Retrieval on the World-Wide Web, 1997 Information Retrieval and Machine Learning R. Belew et. al, Machine Learning and Information Retrieval Information Retrieval using Natural Language Processing A. Arampatzis, Linguistically-Motivated Information Retrieval Data Mining Data Mining and Knowledge Discovery Journal ACM KDD-2002 | ICDM-2002 J. Han et. al, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001 KDNuggets Directory Databases VLDB Journal ACM SIGMOD-2002 D. Sullivan, Document Warehousing and Text Mining Web World Wide Web Journal WWW-2002 WWW + Databases: WebDB Digital Libraries D-Lib Forum & Magazine ACM JCDL-2002 Intelligent Agents Autonmous Agents and Multi-Agent Systems Journal AAMAS-2002 Agent Web BotSpot FAQ Web Agent C. Petrie, Agent-Based Engineering, the Web, and Intelligence, IEEE Expert, 1996 Syskill & Webert: Identifying Interesting Web Sites Agent and Information Retrieval Agent-Based IR Haym Hirsh Foster Provost Jason Rennie Sean Slattery Charles Elkan Christos Faloutsos Geoff Webb Osmar R. Zaiane W. Fan Bing Liu Institutions UT-Austin Machine Learning Group CMU Text Learning Group University of Helsinki FDK Data Mining and Machine Learning Group Albert-Ludwigs-University Computational Linguistic Research Group University of Waikato Text Mining Group Text Mining at Kent Ridge Digital Lab(KRDL), Singapore Text Mining at PMSI, France Imperial College Data Mining Group Text Mining at KI, Germany XRCE MLTT LIA TLN Projects IBM Clever IBM Data Abstraction Web->KB WebWatcher STARTS FAQFinder Combining Machine Learning and Natural Language Processing for Knowledge Discovery in Text Corpora IBM-TRL Text Mining Products Brosis Xcise iCrossReader Intelligent Miner for Text (IBM) Leximancer SRA Temis TextAnalyst (Megaputer) Text Mining by Filter Composition Text Mining Tools (The Data Warehousing Information Center) VantagePoint VisualText (TextAnalysis) WizSoft WordStat (Provalis Research) Alembic Workbench (MITRE) INTEX (LADL) LexGram (University of Stuttgart) LinguistX Platform (InXight) PAGE (DFKI) Pinocchio (ITC-Irst)


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