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DAWAK
2010
Springer
13 years 8 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
IPM
2007
86views more  IPM 2007»
13 years 7 months ago
Document concept lattice for text understanding and summarization
We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that reserved after summarization. Here, a concept refers to an abst...
Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu
DIS
2008
Springer
13 years 9 months ago
Constructing Iceberg Lattices from Frequent Closures Using Generators
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
AI
2006
Springer
13 years 11 months ago
Classification Based on Logical Concept Analysis
This paper studies the problem of classification by using a concept lattice as a search space of classification rules. The left hand side of a classification rule is composed by a ...
Yan Zhao, Yiyu Yao
TNN
1998
146views more  TNN 1998»
13 years 7 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos