The RuleML Challenge started in 2007 with the objective of inspiring the issues of implementation for management, integration, interoperation and interchange of rules in an open distributed environment, such as the Web. Rules are usually classified as three types: deductive rules, normative rules, and reactive rules. The reactive rules are further classified as ECA rules and production rules. T...

One of the characteristics of database systems is the ability to efficiently handle large amounts of information. This characteristic must apply also when rules are introduced into database systems, resulting in so-called active database systems. Hence, active database systems need to manage both a large amount of data and many rules. One of the problems with large sets of rules is the complexi...

Recently inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. Querying these databases needs for primitives to: (1) select, manipulate and query data, (2) select, manipulate and query “interesting” patterns (i.e., those patterns that satisfy certain constraints), and (3) cross over patterns and data (e.g., selecting the data in which so...

my paper has two parts. first, i talk about the golden rule. after introducing the rule and its global importance, i explain why many scholars dismiss it as a vague proverb that leads to absurdities when we try to formulate it clearly. i defend the golden rule against such objections. second, i talk about the golden rule in persia and islam; i consider persian sources (muslim and non-muslim) an...

Many successful knowledge discovery or data mining techniques and systems have been developed. These techniques usually apply to centralized databases with less restricted requirements on learning and response time. Not so much effort yet has been put into mining of distributed databases and real-time issues. In this paper, we investigate issues of fast distributed data mining. We assume that m...

In this paper, we characterize strategy-proof voting rules when the set of alternatives has a multi-issue structure, and the voters’ preferences are represented by acyclic CP-nets that follow a common order over issues. Our main result is a simple full characterization of strategy-proof voting rules satisfying nonimposition for a very natural restriction on preferences in multi-issue domains: w...

 Relations between the third world countries in different parts of Asia and Africa during the 19th and 20th centuries, to a great extent, were influenced by the presence and policies of colonial powers. Thus, for a better understanding of roots of disputes and issues existing between these countries concerning frontiers, disputed Islands, political and prejudicial tensions, we need to study pas...

This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A → B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there is a spatio-temporal relationship in th...

This paper describes Timeweaver, a genetic-based machine learning system that predicts events by identifying temporal and sequential patterns in data. This paper then focuses on the issues related to predicting rare events and discusses how Timeweaver addresses these issues. In particular, we describe how the genetic algorithm’s fitness function is tailored to handle the prediction of rare even...