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KDD
2008
ACM
146views Data Mining» more  KDD 2008»
16 years 6 months ago
Constraint programming for itemset mining
The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
Luc De Raedt, Tias Guns, Siegfried Nijssen
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
15 years 11 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski
EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining
This paper presents SaM, a split and merge algorithm for frequent item set mining. Its distinguishing qualities are an exceptionally simple algorithm and data structure, which not ...
Christian Borgelt, Xiaomeng Wang
IEAAIE
2010
Springer
15 years 4 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
16 years 2 days ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu