Web Mining: Extracting Knowledge from the World Wide Web

[1]  Dragomir R. Radev,et al.  Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies , 2000, ArXiv.

[2]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[3]  Qing He,et al.  Intelligence Chinese Document Semantic Indexing System , 2003, Int. J. Inf. Technol. Decis. Mak..

[4]  Jiawei Han,et al.  Efficient and Effective Clustering Methods for Spatial Data Mining , 1994, VLDB.

[5]  Hsinchun Chen,et al.  A concept space approach to addressing the vocabulary problem in scientific information retrieval: an experiment on the worm community system , 1997 .

[6]  Jiong Yang,et al.  STING: A Statistical Information Grid Approach to Spatial Data Mining , 1997, VLDB.

[7]  Judith L. Klavans,et al.  Columbia Newsblaster: Multilingual News Summarization on the Web , 2004, NAACL.

[8]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[9]  Mary S. Neff,et al.  Multi-document Summarization by Visualizing Topical Content , 2000 .

[10]  Yiming Yang,et al.  Expert network: effective and efficient learning from human decisions in text categorization and retrieval , 1994, SIGIR '94.

[11]  Jia Zi,et al.  A News Event Detection and Tracking Algorithm Based on Dynamic Evolution Model , 2004 .

[12]  Lu Song An Improved Approach to Weighting Terms in Text , 2000 .

[13]  Wu Bin,et al.  CSIM: a document clustering algorithm based on swarm intelligence , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[14]  Eduard H. Hovy,et al.  From Single to Multi-document Summarization , 2002, ACL.

[15]  Yiming Yang,et al.  An example-based mapping method for text categorization and retrieval , 1994, TOIS.

[16]  Zhongzhi Shi,et al.  Grunt: a semantic indexing system based on concept space , 2003, International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003.

[17]  Myra Spiliopoulou,et al.  Data Mining for the Web , 1999, PKDD.

[18]  Oren Etzioni,et al.  The World-Wide Web: quagmire or gold mine? , 1996, CACM.

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

[20]  Samuel Kaski,et al.  Self organization of a massive document collection , 2000, IEEE Trans. Neural Networks Learn. Syst..

[21]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[22]  Zhongzhi Shi,et al.  An approach of multi-hierarchy text classification , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[23]  David C. Luckham,et al.  An Event-Based Architecture Definition Language , 1995, IEEE Trans. Software Eng..

[24]  Kristin P. Bennett,et al.  Support vector machines: hype or hallelujah? , 2000, SKDD.

[25]  Hsinchun Chen,et al.  An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): symbolic branch-and-bound search vs. connectionist Hopfield net activation , 1995 .

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

[27]  Gerald DeJong Prediction and substantiation: A new approach to natural language processing , 1979 .

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

[29]  Jaideep Srivastava,et al.  Discovery of Interesting Usage Patterns from Web Data , 1999, WEBKDD.

[30]  Jaideep Srivastava,et al.  Web usage mining: discovery and application of interesting patterns from web data , 2000 .

[31]  Li Xiao THE CONCEPT-REASONING NETWORK AND ITS APPLICATION IN TEXT CLASSIFICATION , 2000 .

[32]  Sourav S. Bhowmick,et al.  Research Issues in Web Data Mining , 1999, DaWaK.