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» Mining association rules from imprecise ordinal data
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CORR
2010
Springer
215views Education» more  CORR 2010»
14 years 9 months ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par...
88
Voted
MLDM
2007
Springer
15 years 3 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
HAIS
2011
Springer
14 years 28 days ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
67
Voted
DEXA
2006
Springer
102views Database» more  DEXA 2006»
15 years 1 months ago
Mining RDF Metadata for Generalized Association Rules
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Tao Jiang, Ah-Hwee Tan
HICSS
2003
IEEE
176views Biometrics» more  HICSS 2003»
15 years 2 months ago
Ad-Hoc Association-Rule Mining within the Data Warehouse
Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses...
Svetlozar Nestorov, Nenad Jukic