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» Theoretical Frameworks for Data Mining
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AIED
2009
Springer
15 years 4 months ago
Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok ...
IWPC
2000
IEEE
15 years 2 months ago
A Pattern Matching Framework for Software Architecture Recovery and Restructuring
This paper presents a framework for software architecture recovery and restructuring. The user specifies a high level abstraction view of the system using a structured pattern la...
Kamran Sartipi, Kostas Kontogiannis, Farhad Mavadd...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 3 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
14 years 11 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
15 years 2 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong