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» Fast High-Dimensional Data Search in Incomplete Databases
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KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 4 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
109
Voted
KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 3 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
KDD
2000
ACM
110views Data Mining» more  KDD 2000»
15 years 3 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
JASIS
2000
143views more  JASIS 2000»
14 years 11 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
SSDBM
2003
IEEE
141views Database» more  SSDBM 2003»
15 years 5 months ago
The ed-tree: An Index for Large DNA Sequence Databases
The growing interest in genomic research has caused an explosive growth in the size of DNA databases making it increasely challenging to perform searches on them. In this paper, w...
Zhenqiang Tan, Xia Cao, Beng Chin Ooi, Anthony K. ...