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» Mining Multiple Large Databases
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 2 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
ADMA
2009
Springer
186views Data Mining» more  ADMA 2009»
15 years 8 months ago
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p...
Yongxin Tong, Zhao Li, Dan Yu, Shilong Ma, Zhiyuan...
HIPC
1999
Springer
15 years 6 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
16 years 2 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
DASFAA
2010
IEEE
176views Database» more  DASFAA 2010»
15 years 8 months ago
Mining Diversity on Networks
Abstract. Despite the recent emergence of many large-scale networks in different application domains, an important measure that captures a participant’s diversity in the network ...
Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei H...