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ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
14 years 3 months ago
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
Recently, there has been considerable interest in computing strongly correlated pairs in large databases. Most previous studies require the specification of a minimum correlation...
Hui Xiong, Mark Brodie, Sheng Ma
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 3 months ago
Mining Thick Skylines over Large Databases
Abstract. People recently are interested in a new operator, called skyline [3], which returns the objects that are not dominated by any other objects with regard to certain measure...
Wen Jin, Jiawei Han, Martin Ester
ICDE
1994
IEEE
99views Database» more  ICDE 1994»
14 years 2 months ago
Supporting Data Mining of Large Databases by Visual Feedback Queries
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as...
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
SIGMOD
1993
ACM
134views Database» more  SIGMOD 1993»
14 years 1 months ago
Mining Association Rules between Sets of Items in Large Databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an e cient algorithm that generates all s...
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
PKDD
2007
Springer
112views Data Mining» more  PKDD 2007»
14 years 4 months ago
Association Mining in Large Databases: A Re-examination of Its Measures
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
Tianyi Wu, Yuguo Chen, Jiawei Han