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» Scalable Parallel Data Mining for Association Rules
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CPHYSICS
2008
121views more  CPHYSICS 2008»
13 years 9 months ago
A scalable parallel algorithm for large-scale reactive force-field molecular dynamics simulations
A scalable parallel algorithm has been designed to perform multimillion-atom molecular dynamics (MD) simulations, in which first principlesbased reactive force fields (ReaxFF) des...
Ken-ichi Nomura, Rajiv K. Kalia, Aiichiro Nakano, ...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Video Semantic Concept Discovery using Multimodal-Based Association Classification
Digital audio and video have recently taken a center stage in the communication world, which highlights the importance of digital media information management and indexing. It is ...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 7 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
DBA
2006
182views Database» more  DBA 2006»
13 years 10 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...
ASC
2011
13 years 4 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa