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» Efficiently Mining Long Patterns from Databases
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ICDE
2005
IEEE
146views Database» more  ICDE 2005»
15 years 11 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
FSS
2008
105views more  FSS 2008»
14 years 9 months ago
Mining multiple-level fuzzy blocks from multidimensional data
Multidimensional databases are now recognized as being the standard way to store aggregated and historized data. Multidimensional databases are designed to store information on me...
Yeow Wei Choong, Anne Laurent, Dominique Laurent
EDBT
2000
ACM
15 years 1 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
ACSW
2004
14 years 11 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
FIMI
2004
239views Data Mining» more  FIMI 2004»
14 years 11 months ago
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
Takeaki Uno, Masashi Kiyomi, Hiroki Arimura