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ICDM
2007
IEEE
158views Data Mining» more  ICDM 2007»
15 years 9 months ago
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
Jing Gao, Wei Fan, Jiawei Han
HIPC
2009
Springer
15 years 27 days ago
Integrating and optimizing transactional memory in a data mining middleware
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
Vignesh T. Ravi, Gagan Agrawal
KDD
2000
ACM
211views Data Mining» more  KDD 2000»
15 years 6 months ago
Mining IC test data to optimize VLSI testing
We describe an application of data mining and decision analysis to the problem of die-level functional test in integrated circuit manufacturing. Integrated circuits are fabricated...
Tony Fountain, Thomas G. Dietterich, Bill Sudyka
IAT
2006
IEEE
15 years 9 months ago
Crime Pattern Detection Using Data Mining
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes f...
Shyam Varan Nath
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
15 years 3 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang