Evaluation Measures for Extended Association Rules Based on Distributed Representations

2019 ◽  
pp. 305-313
Author(s):  
Tomonobu Ozaki
Keyword(s):  
Association Rules ◽  
Distributed Representations ◽  
Evaluation Measures

Synthesis of Supervised Approaches for Intrusion Detection Systems

2014 ◽  
pp. 44-57
Author(s):  
Ahmed Chaouki Lokbani ◽  
Ahmed Lehireche ◽  
Reda Mohamed Hamou ◽  
Abdelmalek Amine
Keyword(s):  
Data Mining ◽  
Network Security ◽  
Intrusion Detection ◽  
Bayesian Networks ◽  
Decision Trees ◽  
Association Rules ◽  
Intrusion Detection Systems ◽  
Data Mining Techniques ◽  
Evaluation Measures ◽  
Detection Systems

Given the increasing number of users of computer systems and networks, it is difficult to know the profile of the latter, and therefore, intrusion has become a highly prized area of network security. In this chapter, to address the issues mentioned above, the authors use data mining techniques, namely association rules, decision trees, and Bayesian networks. The results obtained on the KDD'99 benchmark have been validated by several evaluation measures and are promising and provide access to other techniques and hybridization to improve the security and confidentiality in the field.

How Useful Can Be Data Mining For A Continuos Speech Therapist’s Education?

2014 ◽  
Vol 1 (1) ◽  
pp. 339-342
Author(s):  
Mirela Danubianu ◽  
Dragos Mircea Danubianu
Keyword(s):  
Data Mining ◽  
Information And Communication Technology ◽  
Association Rules ◽  
Communication Technology ◽  
Speech Therapy ◽  
Proper Treatment ◽  
Speech Impairments ◽  
Information And Communication ◽  
Specific Education

AbstractSpeech therapy can be viewed as a business in logopaedic area that aims to offer services for correcting language. A proper treatment of speech impairments ensures improved efficiency of therapy, so, in order to do that, a therapist must continuously learn how to adjust its therapy methods to patient's characteristics. Using Information and Communication Technology in this area allowed collecting a lot of data regarding various aspects of treatment. These data can be used for a data mining process in order to find useful and usable patterns and models which help therapists to improve its specific education. Clustering, classification or association rules can provide unexpected information which help to complete therapist's knowledge and to adapt the therapy to patient's needs.

HIGH ACCURACY METHOD FOR DISCOVERING QUANTITAVE ASSOCIATION RULES IN DATATABLES AND DATABASES

2009 ◽  
Vol 14 (01) ◽  
Author(s):  
A. Shragai ◽  
D. E. Tamir ◽  
M. Schneider ◽  
A. Kandel
Keyword(s):  
Association Rules ◽  
High Accuracy
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