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» Discovering Characterization Rules from Rankings
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AAAI
2012
11 years 7 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
14 years 5 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 3 months ago
Towards an incremental maintenance of cyclic association rules
Recently, the cyclic association rules have been introduced in order to discover rules from items characterized by their regular variation over time. In real life situations, temp...
Eya Ben Ahmed, Mohamed Salah Gouider
ICCS
2007
Springer
13 years 11 months ago
Characterizing Implications of Injective Partial Orders
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
José L. Balcázar, Gemma C. Garriga
VLDB
2005
ACM
177views Database» more  VLDB 2005»
13 years 10 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins