This paper concentrates on the optimization of elementary association rule mining. The basic approach mining generates positive but focusing both and negative to find out efficient results is lacking. Thus our aim provide an optimize all rules with help a modified genetic algorithm. A algorithm technique that provides best possible solutions are stronger than other solutions. present focuses im...

Paper examines the problem of choice of an optimal fiscal rule in the long run. An ideal rule would typically assure fair distribution of utility over generations, while allowing to maintain the sustainable fiscal position. Three commonly used types: debt, deficit and expenditure rules are considered. The main conclusion is that only the modified deficit rule fulfils the assumptions. The rule r...

There have been arguments about hadronic molecules, which are weakly-bound states of two or more hadrons. We investigate the possibility of some candidates (f0(980), a0(980), f0(1500), f0(1710), etc.) using QCD sum rule approach and compare our results with multiquark states in the MIT bag model. We find that f0(1500), f0(1710) can be good candidates for vector-vector molecule-type multiquark s...

Abstract: The Open Vehicle Routing Problem (OVRP) is one of the most important extensions of the vehicle routing problem (VRP) that has many applications in industrial and service. In the VRP, a set of customers with a specified demand of goods are given and a depot where a fleet of identical capacitated vehicles is located. We are also given the ‘‘traveling costs’’ between the depot and all th...

Fast and efficient intrusion detection systems are required by bulkier networks these days. Our project, which is a rule-based intrusion detection system based on the idea of NATE ([9, 10]), uses simple TCP header information to detect new TCP anomalies. We use a different clustering strategy and a more stringent dissimilarity calculation, and get better results by performing an empirical compa...

We propose a method to analyze complex physical systems (like engineering systems or structures) using two-dimensional Cell-DEVS models. These problems are usually modeled as one or more Partial Differential Equations and solved through numerical methods, and our goal is to improve the definition of such problems by mapping them into the Cell-DEVS formalism. We used two methods for solving PDEs...

We report on extensive experiments using rule-based induction methods for document classification. The goal is to automatically discover patterns in document classifications, potentially surpassing humans who currently read and classify these documents. By using a decision rule model, we induce results in a form compatible with expensive human engineered systems that have recently demonstrated ...