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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 2 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 9 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
TSE
1998
152views more  TSE 1998»
13 years 8 months ago
Communication and Organization: An Empirical Study of Discussion in Inspection Meetings
—This paper describes an empirical study that addresses the issue of communication among members of a software development organization. In particular, data was collected concern...
Carolyn B. Seaman, Victor R. Basili
CGF
2004
118views more  CGF 2004»
13 years 8 months ago
Cultural Heritage Preservation Using Constructive Shape Modeling
Issues of digital preservation of shapes and internal structures of historical cultural objects are discussed. An overview of existing approaches to digital preservation related t...
Carl Vilbrandt, Galina Pasko, Alexander A. Pasko, ...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 9 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt