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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 10 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
FUIN
2000
109views more  FUIN 2000»
13 years 10 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
LREC
2010
129views Education» more  LREC 2010»
13 years 11 months ago
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Milen Kouylekov, Yashar Mehdad, Matteo Negri
DEBU
1998
66views more  DEBU 1998»
13 years 9 months ago
Mining Large Itemsets for Association Rules
This paper provides a survey of the itemset method for association rule generation. The paper discusses past research on the topic and also studies the relevance and importance of...
Charu C. Aggarwal, Philip S. Yu
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 10 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor