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» Mining Rare Association Rules from e-Learning Data
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ACSW
2004
13 years 10 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
IAT
2009
IEEE
13 years 6 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 2 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
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
14 years 26 days ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
BDA
2001
13 years 10 months ago
Reasoning on Association Rules
We study the inference on the interesting association rules. Then we define the concept of the representative basis for interesting association rules extracted from a dataset D, a...
Viet Phan Luong