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» Mining Optimized Association Rules for Numeric Attributes
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KES
2004
Springer
15 years 3 months ago
Mining Positive and Negative Fuzzy Association Rules
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy ass...
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De...
CSO
2009
IEEE
15 years 4 months ago
Association Rules Based Data Mining on Test Data of Physical Health Standard
With the development of modern electronic and computer technologies, sports training and competition became more and more technical. A great deal of data were recorded, including ...
Lan Yu
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
15 years 4 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
15 years 4 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
IMSCCS
2007
IEEE
15 years 4 months ago
Linear Correlation Analysis of Numeric Attributes for Government Data
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
Ying Chen, Guochang Gu, Tian-yang Lv, Shaobin Huan...