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» Divide-and-Conquer Strategies for Process Mining
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PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
14 years 1 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
14 years 21 days ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
CIKM
2003
Springer
14 years 29 days ago
Question answering from the web using knowledge annotation and knowledge mining techniques
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
Jimmy J. Lin, Boris Katz
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
14 years 2 months ago
Mining mutation chains in biological sequences
— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Ton...
AUSAI
2007
Springer
14 years 1 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan