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ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong
DSN
2007
IEEE
16 years 1 months ago
How Do Mobile Phones Fail? A Failure Data Analysis of Symbian OS Smart Phones
While the new generation of hand-held devices, e.g., smart phones, support a rich set of applications, growing complexity of the hardware and runtime environment makes the devices...
Marcello Cinque, Domenico Cotroneo, Zbigniew Kalba...
ICCS
2007
Springer
16 years 24 days ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...
WISE
2006
Springer
16 years 19 days ago
Efficient Filtering Query Indexing in Data Stream
Filtering queries are widely used in data stream applications. As more and more filtering queries are registered in high-speed data stream management system, the processing efficie...
Ying Wang, Shuo Bai, Jianlong Tan, Li Guo
PPOPP
2005
ACM
16 years 6 days ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...