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» Mining Very Large Databases
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DASFAA
2005
IEEE
133views Database» more  DASFAA 2005»
14 years 3 months ago
Mining Frequent Tree-Like Patterns in Large Datasets
In this paper, we propose a novel data mining scheme to explore the frequent hierarchical structure patterns, named tree-like patterns, with the relationship of each item on a sequ...
Tzung-Shi Chen, Shih-Chun Hsu
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 12 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
14 years 3 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 10 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
ICDE
2012
IEEE
212views Database» more  ICDE 2012»
12 years 10 days ago
Attribute-Based Subsequence Matching and Mining
—Sequence analysis is very important in our daily life. Typically, each sequence is associated with an ordered list of elements. For example, in a movie rental application, a cus...
Yu Peng, Raymond Chi-Wing Wong, Liangliang Ye, Phi...