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» Techniques of Cluster Algorithms in Data Mining
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VLDB
2007
ACM
204views Database» more  VLDB 2007»
16 years 20 days ago
Optimization of Frequent Itemset Mining on Multiple-Core Processor
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
Eric Li, Li Liu
BPM
2009
Springer
258views Business» more  BPM 2009»
16 years 1 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Christian W. Günther, Anne Rozinat, Wil M. P....
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
CCGRID
2009
IEEE
16 years 1 months ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...