๐”– Bobbio Scriptorium
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Two novel interestingness measures for gene association rule mining

โœ Scribed by Meihua Wang, Shumin Wu, Ruichu Cai


Book ID
120913796
Publisher
Springer-Verlag
Year
2012
Tongue
English
Weight
421 KB
Volume
23
Category
Article
ISSN
0941-0643

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๐Ÿ“œ SIMILAR VOLUMES


Interestingness measures for data mining
โœ Geng, Liqiang; Hamilton, Howard J. ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Association for Computing Machinery ๐ŸŒ English โš– 245 KB
Interestingness measures for data mining
โœ Geng, Liqiang; Hamilton, Howard J. ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Association for Computing Machinery ๐ŸŒ English โš– 245 KB

Interestingness measures play an important role in data mining, regardless of the kind of patterns being mined. These measures are intended for selecting and ranking patterns according to their potential interest to the user. Good measures also allow the time and space costs of the mining process to