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KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 10 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
FOCI
2007
IEEE
15 years 10 months ago
Conflict Analysis Based on Discernibility and Indiscernibility
Abstract-- The dual notions of discernibility and indiscernibility play an important role in intelligent data analysis. While discernibility focuses on the differences, the indisce...
Yiyu Yao, Yan Zhao
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
FIS
2008
15 years 8 months ago
Challenges and Opportunities for More Meaningful and Sustainable Internet Systems
Abstract. Despite its technological success story, the Internet is facing a rampant growth of isolated ontologies and a massive dump of unstructured legacy data. Therefore, archite...
Pieter De Leenheer, Stijn Christiaens
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell