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» Improving the SLA Algorithm Using Association Rules
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ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
15 years 3 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
15 years 10 months ago
Identifying non-actionable association rules
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
Bing Liu, Wynne Hsu, Yiming Ma
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
15 years 4 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
71
Voted
IMECS
2007
14 years 11 months ago
A New Class Based Associative Classification Algorithm
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
Zhonghua Tang, Qin Liao