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» Troubleshooting Distributed Systems via Data Mining
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HIPC
1999
Springer
13 years 11 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 8 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 1 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
SIGKDD
2008
149views more  SIGKDD 2008»
13 years 7 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
OSDI
2008
ACM
14 years 7 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