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PADL
2000
Springer
13 years 11 months ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi
EUROPAR
2008
Springer
13 years 9 months ago
Data Mining Algorithms on the Cell Broadband Engine
The Cell Broadband Engine (CBE) is a new heterogeneous multi-core processor from IBM, Sony and Toshiba, and provides the potential to achieve an impressive level of performance for...
Rubing Duan, Alfred Strey
ICANN
2005
Springer
14 years 1 months ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 1 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci