IJARAI Vol. 4 Issue 3 (2015)

Open Access | | 5 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Digital Library of Expert System Based at Indonesia Technology University

Author 1: Dewa Gede Hendra Divayana Author 2: I Putu Wisna Ariawan Author 3: I Made Sugiarta Author 4: I Wayan Artanayasa

Digital library is a very interesting phenomenon in the world of libraries. In this era of globalization, the digital library is needed by students, faculty, and the community in the search for quick reference through internet access, so that students, faculty, and the community does not have to come directly to the library. Accessing collections of digital libraries can also be done anytime and anywhere. Digital Library development also occurred at Indonesia Technology University. That University offers a digital library based of expert system. The concept of digital library is utilizing science expert system in the process of cataloging and searching digital collections. By using this digital library based of expert system, users can search the collection, reading collection, and download the desired collection by online system. The digital library based of expert system at Indonesia Technology University is built using the PHP programming language, MySQL database as a data base management system, and developed the method of forward chaining and backward chaining as inference engine.

Digital Library Expert System Forward Chaining Backward Chaining

Abstract doi.org/10.14569/IJARAI.2015.040301 PDF

Application of Machine Learning Approaches in Intrusion Detection System: A Survey

Author 1: Nutan Farah Haq Author 2: Abdur Rahman Onik Author 3: Md. Avishek Khan Hridoy Author 4: Musharrat Rafni Author 5: Faisal Muhammad Shah Author 6: Dewan Md. Farid

Network security is one of the major concerns of the modern era. With the rapid development and massive usage of internet over the past decade, the vulnerabilities of network security have become an important issue. Intrusion detection system is used to identify unauthorized access and unusual attacks over the secured networks. Over the past years, many studies have been conducted on the intrusion detection system. However, in order to understand the current status of implementation of machine learning techniques for solving the intrusion detection problems this survey paper enlisted the 49 related studies in the time frame between 2009 and 2014 focusing on the architecture of the single, hybrid and ensemble classifier design. This survey paper also includes a statistical comparison of classifier algorithms, datasets being used and some other experimental setups as well as consideration of feature selection step.

Intrusion detection Survey Classifiers Hybrid Ensemble Dataset Feature Selection

Abstract doi.org/10.14569/IJARAI.2015.040302 PDF

Attribute Reduction for Generalized Decision Systems*

Author 1: Bi-Jun REN Author 2: Yan-Ling FU Author 3: Ke-Yun QIN

Attribute reduction of information system is one of the most important applications of rough set theory. This paper focuses on generalized decision system and aims at studying positive region reduction and distribution reduction based on generalized indiscernibility relation. The judgment theorems for attribute reductions and attribute reduction approaches are presented. Our approaches improved the existed discernibility matrix and discernibility conditions. Furthermore, the reduction algorithms based on discernible degree are proposed.

Rough set generalized indiscernibility relation positive region reduction distribution reduction

Abstract doi.org/10.14569/IJARAI.2015.040303 PDF

For a Better Coordination Between Students Learning Styles and Instructors Teaching Styles

Author 1: Sylvia Encheva

While learning has been in the main focus of a number of educators and researches, instructors’ teaching styles have received considerably less attention. When it comes to dependencies between learning styles and teaching styles the available knowledge is even less. There is a definite need for a systematic approach while looking for such dependencies. We propose application of refinement orders and relational concept analysis for pursuing further investigations on the matter.

Refinement orders Relational concept analysis Learning

Abstract doi.org/10.14569/IJARAI.2015.040304 PDF

Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

Author 1: Sylvia Encheva

Students experience various types of difficulties when it comes to examinations, where some of them are subject related while others are more of a psychological character. A number of factors influencing academic success or failure of undergraduate students are identified in various research studies. One of the many important questions related to that is how to select individuals endangered to be unable to complete a particular study program or a subject. The intention of this work is to develop an approach for early discovery of students who could face serious difficulties through their studies.

Soft sets Uncertainties Decision making

Abstract doi.org/10.14569/IJARAI.2015.040305 PDF

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