predicting different behaviors in computer networks is the subject of many data mining researches. providing a balanced intrusion detection system (ids) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Rule-based systems are a commonly accepted solution for smoothly capturing the context-dependent and time-dependent organizational knowledge of large enterprises, also known as business policies. At the same time, however, the design of rule-based applications is one of the most pressing open research problems. This is largely because of the expressive power and flexibility of existing rule-bas...

Tomsovic, K. and C-C. Liu, Bounding the computation time of forward-chaining rule-based systems, Data & Knowledge Engineering 10 (1993) 317-334. For real-time applications of expert systems, success depends on the computational efficiency of the implementation. In this study, we propose an analytical method for evaluating the processing time of forward-chaining rule-based systems. An upper boun...

Monetary policy rule might be helpful to avoid the problem of time inconsistency provided there is a commitment to the rule. The commitment is the ability of a government to bind future policies. However, it doesn’t include intrinsic motivations. Therefore, hegemony, which includes both intrinsic and extrinsic motivations, better solves the problem of  time inconsistency. In this paper, we expl...

Covid 19 disease has changed many aspects of life. Dealing with accidents and disasters is no exception to this rule. Therefore, the necessary preparedness must be made disasters that coincide with pandemics in the communities. Perhaps the simplest and at the same time the most important issue is to review the equipment inside the family emergency kit, which requires the addition of sanitary i...

A production rule system is a reasoning system that uses rules for knowledge representation. Manual rule acquisition requires a great amount of effort and time from humans. In this paper, we present a data-driven technique for autonomously extracting human-readable rules from complex, time-evolving environments that makes rule acquisition for production rule systems efficient. Complex, time-evo...

Rule-based forecasting (RBF) is an expert system that uses features of time series to select and weight extrapolation techniques. Thus, it is dependent upon the identification of features of the time series. Judgmental coding of these features is expensive and the reliability of the ratings is modest. We developed and automated heuristics to detect six features that had previously been judgment...

Integration-as-a-service platforms arise as a modern strategy to integrate data from distributed environments. Nowadays, service interoperability strategies, such as workflows and static service-oriented architectures, are giving place to more dynamic environments, where the path from the original resource to the integrative destination is triggered autonomously and in real-time. However, these...