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KDD
1995
ACM
193views Data Mining» more  KDD 1995»
14 years 13 days ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
ICPR
2008
IEEE
14 years 3 months ago
Adaptive Laplacian eigenfunctions as bases for regression analysis
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
Lei Ding, Xiaole Bai
RCIS
2010
13 years 7 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
ECOWS
2007
Springer
14 years 3 months ago
Towards Optimized Data Fetching for Service Discovery
The advent of Service Oriented Architecture makes services the most flexible, platform-independent choice for exposing and integrating business functionality across a network. Ho...
Maciej Zaremba, Tomas Vitvar, Matthew Moran
JMLR
2007
58views more  JMLR 2007»
13 years 8 months ago
Distances between Data Sets Based on Summary Statistics
The concepts of similarity and distance are crucial in data mining. We consider the problem of defining the distance between two data sets by comparing summary statistics compute...
Nikolaj Tatti