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» Architectural Support for Data Mining
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SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 4 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
SIGMOD
2000
ACM
133views Database» more  SIGMOD 2000»
15 years 8 months ago
Data Mining on an OLTP System (Nearly) for Free
This paper proposes a scheme for scheduling disk requests that takes advantage of the ability of high-level functions to operate directly at individual disk drives. We show that s...
Erik Riedel, Christos Faloutsos, Gregory R. Ganger...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 4 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
15 years 4 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 9 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore