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» An Overview of Database Mining Techniques
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EDBT
2000
ACM
13 years 11 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
JIIS
2002
141views more  JIIS 2002»
13 years 7 months ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
IJIS
2007
97views more  IJIS 2007»
13 years 8 months ago
Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems
article we investigate an attribute-oriented induction approach for acquisition of abstract knowledge from data stored in a fuzzy database environment. We utilize a proximity-based...
Rafal A. Angryk, Frederick E. Petry
VLDB
2005
ACM
81views Database» more  VLDB 2005»
14 years 1 months ago
Flexible Database Generators
Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend o...
Nicolas Bruno, Surajit Chaudhuri
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
14 years 6 days ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink