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KAIS
2008
79views more  KAIS 2008»
13 years 4 months ago
Top 10 algorithms in data mining
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, Page...
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep ...
DATAMINE
2006
230views more  DATAMINE 2006»
13 years 4 months ago
Mining top-K frequent itemsets from data streams
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
13 years 10 months ago
TSP: Mining Top-K Closed Sequential Patterns
Sequential pattern mining has been studied extensively in data mining community. Most previous studies require the specification of a minimum support threshold to perform the min...
Petre Tzvetkov, Xifeng Yan, Jiawei Han
JCIT
2010
174views more  JCIT 2010»
12 years 11 months ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 5 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han