Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, w...

A group of agents have claims on a resource, but there is not enough of it to honor all of the claims. How should it be divided? A group of agents decide to undertake a public project that they can jointly afford. How much should each of them contribute? This essay is an update of Thomson (2003), a survey of the literature devoted to the study of such problems. JEL classification number: C79; D...

Classification and association rule discovery are important data mining tasks. Using association rule discovery to construct classification systems, also known as associative classification, is a promising approach. In this paper, we survey different rule pruning methods used by associative classification techniques. Furthermore, we compare the effect of three pruning methods (database coverage...

In this paper we report on the results of a European survey on business/ICT alignment practices. The goal of this study is to come up with some practical guidelines for managers on how to strive for better alignment of ICT investments with business requirements. Based on Luftman’s alignment framework we examine 18 ICT management practices belonging to 6 different competency clusters. We use Ant...

OBJECTIVE We derived a clinical decision rule for determining which young children need testing for lead poisoning. We developed an equation that combines lead exposure self-report questions with the child's census-block housing and socioeconomic characteristics, personal demographic characteristics, and Medicaid status. This equation better predicts elevated blood lead level (EBLL) than one us...

Modern medicine generates a great deal of information stored in the medical database. Extracting useful knowledge and providing scientific decision making for the diagnosis and treatment of disease from the database increasingly becomes necessary. In India most of the people suffering cancer diseases. Using association rule mining for constructing classification system for diagnosing cancer dis...

The procedural interpretation of logic programs and queries is parametric to the selection rule, i.e. the rule that determines which atom is selected in each resolution step. Termination of logic programs and queries depends critically on the selection rule. In this survey, we present a unified view and comparison of seven notions of universal termination considered in the literature, and the c...

The procedural interpretation of logic programs and queries is parametric to the selection rule, i.e. the rule that determines which atom is selected in each resolution step. Termination of logic programs and queries depends critically on the selection rule. In this survey, we present a unified view and comparison of seven notions of universal termination considered in the literature, and the c...

Business process management and business rules management both focus on controlling business activities in organizations. Although both management principles have the same focus, they approach manageability and controllability from different perspectives. As more organizations deploy business process management and business rules management, this paper argues that these often separated efforts ...