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KDD
1998
ACM
105views Data Mining» more  KDD 1998»
15 years 6 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
AISADM
2005
Springer
15 years 8 months ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
16 years 2 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
120
Voted
CCGRID
2009
IEEE
15 years 9 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
85
Voted
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 8 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester