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» Introduction to operations research and data mining
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KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 3 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
OSDI
2008
ACM
15 years 10 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
CIKM
2006
Springer
15 years 1 months ago
Privacy preserving sequential pattern mining in distributed databases
Research in the areas of privacy preserving techniques in databases and subsequently in privacy enhancement technologies have witnessed an explosive growth-spurt in recent years. ...
Vishal Kapoor, Pascal Poncelet, François Tr...
OSDI
2000
ACM
14 years 11 months ago
Towards Higher Disk Head Utilization: Extracting "Free" Bandwidth from Busy Disk Drives
Freeblock scheduling is a new approach to utilizing more of disks' potential media bandwidths. By filling rotational latency periods with useful media transfers, 20{50% of a ...
Christopher R. Lumb, Jiri Schindler, Gregory R. Ga...
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
15 years 1 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...