An Inference attack occurs when a user is able to infer some information about a database without directly accessing them. Data mining techniques help to discover unknown information from a database using known information. This paper discusses how Association Rule mining can be used to detect unauthorized inferencing from the database.

The Mamdani model [1] of Fuzzy Systems is the earliest and the most widely studied type of Fuzzy Systems. In this work, Residuated Implication (R-implication) operators have been explored for rule reduction in Mamdani-Type Fuzzy Systems with lossless inferencing.

KT encodes commonsense knowledge (CK) about entities and relations in a cross-classified Ontology and a database of generic (prototypical and inherent) information. The verb Ontology combines linguistic and psycholinguistic classification. The generic information for verbs encodes typical associations with actions and events. This knowledge base is useful for word-sense disambiguation, inferenc...

In this paper we present a Distributed Intelligent Fault Management (DIFM) system for communication networks. The overall architecture of the proposed system is based on a distributed cooperative multi-agent paradigm, with probabilistic networks as the framework for knowledge representation and evidence inferencing. We adopt the management by delegation paradigm [5] for network monitoring and i...

In a quasi-experimental study, the researcher used two approaches to vocabulary instruction with 34 Level III College of Languages and Translation students, enrolled in King Khalid University, KSA. The purpose of the study was to explore the effects of each approach. One strategy emphasized direct teaching of the individual meanings for a set of unfamiliar words. The second strategy emphasized ...