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» Rule Preference Effect in Associative Classification Mining
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KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 9 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
AWIC
2003
Springer
14 years 2 months ago
Web Page Classification: A Soft Computing Approach
The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has gener...
Angela Ribeiro, Víctor Fresno, Maria C. Gar...
DKE
2008
124views more  DKE 2008»
13 years 9 months ago
A MaxMin approach for hiding frequent itemsets
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
George V. Moustakides, Vassilios S. Verykios
ESWA
2002
134views more  ESWA 2002»
13 years 8 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 26 days ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang