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ISCI
2008
166views more  ISCI 2008»
14 years 9 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
KAIS
2008
99views more  KAIS 2008»
14 years 9 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
INTR
2007
79views more  INTR 2007»
14 years 9 months ago
Is global IPv6 deployment on track?
— IPv6 has been the subject of a significant amount of research work in the networking field for more than a decade. The main aim of this paper is to discuss the current status o...
Mónica Domingues, Carlos Friaças, Pe...
KAIS
2007
75views more  KAIS 2007»
14 years 9 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
MCS
2002
Springer
14 years 9 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...