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» Mining Multiple Large Databases
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KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 10 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
SIGSOFT
2005
ACM
14 years 3 months ago
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When these rules are violated by programmers who are unawar...
Zhenmin Li, Yuanyuan Zhou
DCC
2000
IEEE
14 years 2 months ago
Summary Structures for Frequency Queries on Large Transaction Sets
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
Dow-Yung Yang, Akshay Johar, Ananth Grama, Wojciec...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
14 years 2 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...