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» Techniques of Cluster Algorithms in Data Mining
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CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 1 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 7 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
PAKDD
2004
ACM
164views Data Mining» more  PAKDD 2004»
15 years 7 months ago
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this pap...
Francesco Bonchi, Bart Goethals
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 7 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
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ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
15 years 8 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan