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» Scalable Parallel Data Mining for Association Rules
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IISWC
2006
IEEE
14 years 3 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
ISM
2005
IEEE
151views Multimedia» more  ISM 2005»
14 years 2 months ago
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies
— For efficient video data management, ‘video data mining’ is required to discover ‘semantic patterns’ which are not only previously unknown and interesting, but also as...
Kimiaki Shirahama, Koichi Ideno, Kuniaki Uehara
DAWAK
2010
Springer
13 years 10 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
IEEEICCI
2002
IEEE
14 years 1 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 9 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan