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PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
14 years 2 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
ICDE
2010
IEEE
180views Database» more  ICDE 2010»
13 years 7 months ago
Streaming data integration: Challenges and opportunities
— In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processin...
Nesime Tatbul
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
14 years 2 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
CF
2010
ACM
13 years 11 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...