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ICML
2004
IEEE
14 years 8 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 23 days ago
Cellular Programming and Symmetric Key Cryptography Systems
Abstract. The problem of designing symmetric key cryptography algorithms based upon cellular automata (CAs) is considered. The reliability of the Vernam cipher used in the process ...
Franciszek Seredynski, Pascal Bouvry, Albert Y. Zo...
ENC
2004
IEEE
13 years 11 months ago
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Christophe Cérin, Gay Gay, Gaël Le Mah...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 8 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
IDA
2002
Springer
13 years 7 months ago
Measuring the accuracy and interest of association rules: A new framework
It has been pointed out that the usual framework to assess association rules, based on support and confidence as measures of importance and accuracy, has several drawbacks. In part...
Fernando Berzal Galiano, Ignacio J. Blanco, Daniel...