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» Scalable Parallel Data Mining for Association Rules
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PADL
2000
Springer
15 years 3 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
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 6 months ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
PPL
2008
88views more  PPL 2008»
14 years 11 months ago
Evaluating Computational Costs while Handling Data and Control Parallelism
The aim of this work is to introduce a computational costs system associated to a semantic framework for orthogonal data and control parallelism handling. In such a framework a pa...
Sonia Campa
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 2 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 5 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