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» Theoretical Frameworks for Data Mining
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CORR
2006
Springer
91views Education» more  CORR 2006»
14 years 10 months ago
Complexity of Data Flow Analysis for Non-Separable Frameworks
The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...
Bageshri Karkare, Uday P. Khedker
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 7 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
GPEM
2010
134views more  GPEM 2010»
14 years 8 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
KDD
1997
ACM
114views Data Mining» more  KDD 1997»
15 years 2 months ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
15 years 10 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal