Document Title: Link Analysis Survey Status Update - January 2006

[1]  Mohamed Quafafou,et al.  Multi-Pattern Wrappers for Relation Extraction from the Web , 2002, ECAI.

[2]  William M. Pottenger,et al.  A framework for understanding Latent Semantic Indexing (LSI) performance , 2006, Inf. Process. Manag..

[3]  William M. Pottenger.  A Framework for Understanding LSI Performance , 2004 .

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

[5]  D. Swanson.  Migraine and Magnesium: Eleven Neglected Connections , 2015, Perspectives in biology and medicine.

[6]  Ralph Grishman,et al.  Discovering Relations among Named Entities from Large Corpora , 2004, ACL.

[7]  William M. Pottenger,et al.  A semi-supervised active learning algorithm for information extraction from textual data , 2005, J. Assoc. Inf. Sci. Technol..

[8]  George R. Krupka,et al.  IsoQuest Inc.: Description of the NetOwl™ Extractor System as Used for MUC-7 , 1998, MUC.

[9]  Robin McEntire,et al.  Drug discovery through information extraction technology , 2002 .

[10]  Mila Ramos-Santacruz,et al.  REES: A Large-Scale Relation and Event Extraction System , 2000, ANLP.

[11]  Janusz R. Getta,et al.  A parameterised algorithm for mining association rules , 2001, Proceedings 12th Australasian Database Conference. ADC 2001.

[12]  M. Newman.  Clustering and preferential attachment in growing networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Jian Pei,et al.  ApproxMAP: Approximate Mining of Consensus Sequential Patterns , 2003, SDM.

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

[15]  Wanda Pratt,et al.  H.3.3 Information Search and Retrieval , 2022 .

[16]  Sandiway Fong,et al.  Efficient Parsing for Word Structure , 2001, NLPRS.

[17]  Ronen Feldman,et al.  Rule-based extraction of experimental evidence in the biomedical domain: the KDD Cup 2002 (task 1) , 2002, SKDD.

[18]  William M. Pottenger,et al.  Distributed higher order association rule mining using information extracted from textual data , 2005, SKDD.

[19]  Jeffrey W. Seifert,et al.  Data Mining: An Overview , 2004 .

[20]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[21]  Raymond J. Mooney,et al.  Relational Data Mining with Inductive Logic Programming for Link Discovery , 2002 .

[22]  S.M. Taylor,et al.  Deciphering human language [information extraction] , 2004, IT Professional.

[23]  Philip Hingston.  Using Finite State Automata for Sequence Mining , 2002, ACSC.

[24]  Donald E. Brown,et al.  The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[25]  Hsinchun Chen,et al.  Using Coplink to Analyze Criminal-Justice Data , 2002, Computer.

[26]  Yonatan Aumann,et al.  A domain independent environment for creating information extraction modules , 2001, CIKM '01.

[27]  Johannes Gehrke,et al.  Sequential PAttern mining using a bitmap representation , 2002, KDD.

[28]  Qiming Chen,et al.  PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.

[29]  Padmini Srinivasan,et al.  Text mining: Generating hypotheses from MEDLINE , 2004, J. Assoc. Inf. Sci. Technol..

[30]  Yonatan Aumann,et al.  TEG: a hybrid approach to information extraction , 2004, CIKM '04.

[31]  Yonatan Aumann,et al.  A Comparative Study of Information Extraction Strategies , 2002, CICLing.

[32]  Jennifer Widom,et al.  SimRank: a measure of structural-context similarity , 2002, KDD.

[33]  Raymond J. Mooney,et al.  Mining Soft-Matching Rules from Textual Data , 2001, IJCAI.

[34]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.

[35]  Erik M. van Mulligen,et al.  Constructing an associative concept space for literature-based discovery , 2004, J. Assoc. Inf. Sci. Technol..

[36]  Hsinchun Chen,et al.  Fighting organized crimes: using shortest-path algorithms to identify associations in criminal networks , 2004, Decis. Support Syst..

[37]  Xindong Wu,et al.  Efficient runtime generation of association rules , 2001, CIKM '01.

[38]  Enrico Motta,et al.  CORDER: COmmunity relation discovery by named entity recognition , 2005, K-CAP '05.

[39]  Neel Sundaresan,et al.  Mining the Web for relations , 2000, Comput. Networks.

[40]  Wee Keong Ng,et al.  Rapid association rule mining , 2001, CIKM '01.

[41]  M Girvan,et al.  Structure of growing social networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[42]  Paul A. Kogut,et al.  AeroDAML: Applying Information Extraction to Generate DAML Annotations from Web Pages , 2001, Semannot@K-CAP 2001.

[43]  Weiguo Fan,et al.  Literature-based discovery on the World Wide Web , 2002, TOIT.

[44]  Dmitry Zelenko,et al.  Kernel Methods for Relation Extraction , 2002, J. Mach. Learn. Res..

[45]  Xiaowei Xu,et al.  Mining concept associations for knowledge discovery in large textual databases , 2005, SAC '05.

[46]  Marc Weeber,et al.  Using concepts in literature-based discovery: simulating Swanson's Raynaud-fish oil and migraine-magnesium discoveries , 2001 .