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» Techniques of Cluster Algorithms in Data Mining
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106
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PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 1 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
SIGMOD
2009
ACM
476views Database» more  SIGMOD 2009»
15 years 4 months ago
MobileMiner: a real world case study of data mining in mobile communication
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...
81
Voted
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 3 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
15 years 10 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...