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» A Pattern Based Data Mining Approach
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96
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PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 6 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
95
Voted
DAWAK
2006
Springer
15 years 4 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
199
Voted
ICDE
2002
IEEE
106views Database» more  ICDE 2002»
16 years 2 months ago
OSSM: A Segmentation Approach to Optimize Frequency Counting
Computing the frequency of a pattern is one of the key operations in data mining algorithms. We describe a simple yet powerful way of speeding up any form of frequency counting sa...
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Manni...
101
Voted
CSE
2009
IEEE
15 years 7 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
96
Voted
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
15 years 6 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters