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» Mining Multiple Large Databases
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BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...
S. A. Kirov, X. Peng, E. Baker, D. Schmoyer, B. Zh...
SIGMOD
2000
ACM
129views Database» more  SIGMOD 2000»
14 years 2 days ago
Mining Frequent Patterns without Candidate Generation
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
Jiawei Han, Jian Pei, Yiwen Yin
VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 12 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...
KDD
2006
ACM
107views Data Mining» more  KDD 2006»
14 years 8 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
GFKL
2007
Springer
158views Data Mining» more  GFKL 2007»
13 years 11 months ago
Investigating Classifier Learning Behavior with Experiment Databases
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
Joaquin Vanschoren, Hendrik Blockeel