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» Mining Very Large Databases
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SIGMOD
2004
ACM
112views Database» more  SIGMOD 2004»
15 years 10 months ago
Matching Large XML Schemas
Current schema matching approaches still have to improve for very large and complex schemas. Such schemas are increasingly written in the standard language W3C XML schema, especia...
Erhard Rahm, Hong Hai Do, Sabine Massmann
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
15 years 3 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu
DAWAK
2000
Springer
15 years 2 months ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 4 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
VLDB
1995
ACM
181views Database» more  VLDB 1995»
15 years 1 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu