Network Data Mining and Analysis: The <$>{\cal {NEMESIS}}<$> Project p. 1 Privacy Preserving Data Mining: Challenges and Opportunities p. 13 Survey Papers (Invited) A Case for Analytical Customer Relationship Management p. 14 On Data Clustering Analysis: Scalability, Constraints, and Validation p. 28 Association Rules (I) Discovering Numeric Association Rules via Evolutionary Algori...

AIMS The main aim of the study was to test the moderating effect of two genetic polymorphisms, one in the dopamine D2 receptor gene (DRD2) and one in the mu-opioid receptor gene (OPRM1), on the link between parental rule-setting and adolescent alcohol use. METHODS A total of 214 adolescents (M(age )=13.7, 44.9% male) provided saliva samples and completed survey items describing alcohol use an...

Abstract Although regional governments play vital roles in most political systems, citizens’ perceptions regarding authority are only rarely studied. Relying on the International Constitutional Values Survey held among more than 6,000 respondents from 142 regions eight countries, we develop measures to tap into preferences for self-rule—i.e., autonomy their region—and shared rule—i.e., engageme...

Business rule models are widely applied, standalone and embedded in smart objects. They have become segregated from information technology and they are now a valuable asset in their own right. As more business rule models are becoming assets, business models to monetize these assets are designed. The goal of this work is to present a step towards business model classification for organizations ...

In this paper, we present a technique that first align the page (Skew Correction) after that removing the pre-printed rule lines in handwritten Devanagari document images. This paper is first approach toward the rule line removal from Devanagari Script. In survey we found a lot of work has done on English, Greek, Arabic etc. language which has different script and style to write. We use common ...

this paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. the classification performance andinterpretability are of major importance in these systems. in this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). ourapproach uses a punish...

In this paper, we survey the application of association rule mining in e-learning systems, and especially, learning management systems. We describe the specific knowledge discovery process, its mains drawbacks and some possible solutions to resolve them.

We report an experiment designed to provide a qualitative contrast between knowledge-limited versions of mixed-state and variable-resources (VR) models of visual change detection. The key data pattern is that observers often respond “same” on big-change trials, while simultaneously being able to discriminate between same and small-change trials. The mixed-state model provides a natural account ...