Sciweavers

ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
14 years 5 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
14 years 5 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li
FUZZIEEE
2007
IEEE
14 years 5 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
DASFAA
2007
IEEE
159views Database» more  DASFAA 2007»
14 years 5 months ago
Mining Vague Association Rules
In many online shopping applications, traditional Association Rule (AR) mining has limitations as it only deals with the items that are sold but ignores the items that are almost s...
An Lu, Yiping Ke, James Cheng, Wilfred Ng
CBMS
2007
IEEE
14 years 5 months ago
A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
14 years 5 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 5 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...
SEMCO
2008
IEEE
14 years 6 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
IEAAIE
2009
Springer
14 years 6 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
ICSE
2008
IEEE-ACM
14 years 11 months ago
Formal concept analysis applied to fault localization
One time-consuming task in the development of software is debugging. Recent work in fault localization crosschecks traces of correct and failing execution traces, it implicitly se...
Peggy Cellier