-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Contents of International Journal of Intelligent Information Technologies (IJIIT) - Vol. 11, No. 2 Datum: Wed, 19 Aug 2015 14:50:00 -0400 Von: Vijayan Sugumaran sugumara@oakland.edu An: aisworld@lists.aisnet.org

Abstract Announcement for International Journal of Intelligent Information Technologies (IJIIT) 11(2)

The contents of the latest issue of: International Journal of Intelligent Information Technologies (IJIIT) Volume 11, Issue 2, April - June 2015 Published: Quarterly in Print and Electronically ISSN: 1548-3657; EISSN: 1548-3665; Published by IGI Global Publishing, Hershey, USA www.igi-global.com/ijiit http://www.igi-global.com/journal/international-journal-intelligent-informa tion-technologies/1089

Editor(s)-in-Chief: Vijayan Sugumaran (Oakland University, USA)

Note: There are no submission or acceptance fees for manuscripts submitted to the International Journal of Intelligent Information Technologies (IJIIT). All manuscripts are accepted based on a double-blind peer review editorial process.

ARTICLE 1

Building Data Warehouses Using Automation

Nayem Rahman (Intel Corporation, Hillsboro, OR, USA), Dale Rutz (Intel Corporation, Santa Clara, CA, USA)

Software development is a complex endeavor. While significant benefits can be achieved, the process is often laborious, time consuming and error prone requiring multiple iterations in order to achieve the desired result. Issues arise for numerous reasons - coding defects, unclear requirements, migration challenges, lack of convention, and inadequate testing to name a few. When convention and automation are introduced into the software development lifecycle there are significantly fewer opportunities for failure. Automation also allows for shorter development windows. Generally there are fewer errors throughout testing, with the bulk of those being found in unit and functional testing, far before the users get involved in systems acceptance testing. A data warehouse consists of multiple subject areas in which many tasks are common and should be automated for the sake of efficiency and enforcing convention. This article discusses a set of tools that can be used to automate writing data warehouse objects. The article also provides statistics of time saved using automation.

To obtain a copy of the entire article, click on the link below. www.igi-global.com/article/building-data-warehouses-using-automation/135903 http://www.igi-global.com/article/building-data-warehouses-using-automation /135903

To read a PDF sample of this article, click on the link below. www.igi-global.com/viewtitlesample.aspx?id=135903 http://www.igi-global.com/viewtitlesample.aspx?id=135903

ARTICLE 2

An Ontology Based Framework for Intelligent Web Based e-Learning

B. Senthilnayaki (Department of Information Science and Technology, Anna University, Chennai, India), K. Venkatalakshmi (Department of Electronic and Communication Engineering, Anna University, Chennai, India), A. Kannan (Department of Information Science and Technology, Anna University, Chennai, India)

E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as the World Wide Web. Ontology plays an important role in capturing and disseminating the real world knowledge for effective human computer interactions. However, engineering of domain ontologies is very labor intensive and time consuming. Some machine learning methods have been explored for automatic or semi-automatic discovery of domain ontologies. Nevertheless, both the accuracy and the computational efficiency of these methods need to be improved. While constructing large scale ontology for real-world applications such as e-learning, the ability to monitor the progress of students' learning performance is a critical issue. In this paper, a system is proposed for analyzing students' knowledge level obtained using Kolb's classification based on the students level of understanding and their learning style using cluster analysis. This system uses fuzzy logic and clustering algorithms to arrange their documents according to the level of their performance. Moreover, a new domain ontology discovery method is proposed uses contextual information of the knowledge sources from the e-Learning domain. This proposed system constructs ontology to provide an effective assistance in e-Learning. The proposed ontology discovery method has been empirically tested in an e-Learning environment for teaching the subject Database Management Systems. The salient contributions of this paper are the use of Jaccard Similarity measure and K-Means clustering algorithm for clustering of learners and the use of ontology for concept understanding and learning style identification. This helps in adaptive e-learning by providing suitable suggestions for decision making and it uses decision rules for providing intelligent e-Learning.

To obtain a copy of the entire article, click on the link below. www.igi-global.com/article/an-ontology-based-framework-for-intelligent-web-b ased-e-learning/135904 http://www.igi-global.com/article/an-ontology-based-framework-for-intellige nt-web-based-e-learning/135904

To read a PDF sample of this article, click on the link below. www.igi-global.com/viewtitlesample.aspx?id=135904 http://www.igi-global.com/viewtitlesample.aspx?id=135904

ARTICLE 3

Streamlined Alarms for Intrusion Recognition System

V. Dhanakoti (Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India), R. Nedunchezhian (Department of Computer Science and Engineering, KIT - Kalaignarkarunanidhi Institute of Technology, Coimbatore, India)

A serious blow to the security of World Wide Web is the escalation in synchronized system assaults like Hoax, Blended Threats, Worms, IP Scanning, Trojan Horses, Denial of Service (DOS) and Sniffer assaults. It might not be a wonder that by allowing all the contestants in Intrusion Recognition Systems (IRS) sharing doubtful intellect with one another in order to shape a worldwide view of the existing risks. Since existing Collective Intrusion Recognition System (CIRS) algorithms are not capable of calculating complex attacks in a timely manner, a rationalized multilayered red alarm connection for collective intrusion recognition intelligent algorithm was built for CIRS to tackle these confronts. A multilayered red alarm connection grouping algorithm is used to mine the important intrusion prototypes from unrefined intrusion alarms. Twin phase association algorithms are modified and used, so that it groups alarm at every IRS, before exposing important alarm prototypes to a world wide web.

To obtain a copy of the entire article, click on the link below. www.igi-global.com/article/streamlined-alarms-for-intrusion-recognition-syst em/135905 http://www.igi-global.com/article/streamlined-alarms-for-intrusion-recognit ion-system/135905

To read a PDF sample of this article, click on the link below. www.igi-global.com/viewtitlesample.aspx?id=135905 http://www.igi-global.com/viewtitlesample.aspx?id=135905

ARTICLE 4

Complex Event Refinement by Statistical Augmentation Model

Ravi Pathak (Department of Electronics Engineering, Madras Institute of Technology, Chennai, India), V. Vaidehi (Department of Electronics Engineering, Madras Institute of Technology, Chennai, India)

The uncertainty of decision making in event hierarchies of CEP can be due to unreliable data sources, lack of conformance that the event which is reported has actually occurred. Also the Complex Event models which are used to define complex events are inaccurate. When the uncertain event is used for deriving complex event, it propagates its uncertainty to a higher level of event hierarchy and causes uncertainty in reasoning. This paper proposes an event refinement model based on statistical approach to augment the events to minimize the error due to uncertainty for better decision making. The proposed augmented CEP (a-CEP) is found to perform better in terms of reduction in false alarm for continuous monitoring of patient in a remote health care application. The proposed model is implemented on Drools Fusion CEP Engine using Java and it is found that the proposed a-CEP gives better results in terms of accuracy.

To obtain a copy of the entire article, click on the link below. www.igi-global.com/article/complex-event-refinement-by-statistical-augmentat ion-model/135906 http://www.igi-global.com/article/complex-event-refinement-by-statistical-a ugmentation-model/135906

To read a PDF sample of this article, click on the link below. www.igi-global.com/viewtitlesample.aspx?id=135906 http://www.igi-global.com/viewtitlesample.aspx?id=135906

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For full copies of the above articles, check for this issue of the International Journal of Intelligent Information Technologies (IJIIT) in your institution's library. This journal is also included in the IGI Global aggregated "InfoSci-Journals" database: www.igi-global.com/isj http://www.igi-global.com/e-resources/infosci-databases/infosci-journals/ .

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CALL FOR PAPERS

Mission of IJIIT:

The advent of the World Wide Web has sparked renewed interest in the area of intelligent information technologies. There is a growing interest in developing intelligent technologies that enable users to accomplish complex tasks in web-centric environments with relative ease, utilizing such technologies as intelligent agents, distributed computing in heterogeneous environments, and computer supported collaborative work. The mission of the International Journal of Intelligent Information Technologies (IJIIT) is to bring together researchers in related fields such as information systems, distributed AI, intelligent agents, and collaborative work, to explore and discuss various aspects of design and development of intelligent technologies. This journal provides a forum for academics and practitioners to explore research issues related to not only the design, implementation and deployment of intelligent systems and technologies, but also economic issues and organizational impact. Papers related to all aspects of intelligent systems including theoretical work on agent and multi-agent systems as well as case studies offering insights into agent-based problem solving with empirical or simulation based evidence are welcome.

Indices of IJIIT:

* ACM Digital Library

* Australian Business Deans Council (ABDC)

* Bacon's Media Directory

* Burrelle's Media Directory

* Cabell's Directories

* Compendex (Elsevier Engineering Index)

* CSA Illumina

* DBLP

* DEST Register of Refereed Journals

* Gale Directory of Publications & Broadcast Media

* GetCited

* Google Scholar

* INSPEC

* JournalTOCs

* Library & Information Science Abstracts (LISA)

* MediaFinder

* Norwegian Social Science Data Services (NSD)

* SCOPUS

* The Index of Information Systems Journals

* The Standard Periodical Directory

* Thomson Reuters

* Ulrich's Periodicals Directory

* Web of Science

Coverage of IJIIT:

The International Journal of Intelligent Information Technologies (IJIIT) encourages quality research dealing with (but not limited to) the following topics:

* Agent-based auction, contracting, negotiation, and ecommerce

* Agent-based control and supply chain

* Agent-based simulation and application integration

* Cooperative and collaborative systems

* Distributed intelligent systems and technologies

* Human-agent interaction and experimental evaluation

* Implementation, deployment, diffusion, and organizational impact

* Integrating business intelligence from internal and external sources

* Intelligent agent and multi-agent systems in various domains

* Intelligent decision support systems

* Intelligent information retrieval and business intelligence

* Intelligent information systems development using design science principles

* Intelligent Web mining and knowledge discovery systems

* Manufacturing information systems

* Models, architectures and behavior models for agent-oriented information systems

* Multimedia information processing

* Privacy, security, and trust issues

* Reasoning, learning and adaptive systems

* Semantic Web, Web services, and ontologies

Interested authors should consult the journal's manuscript submission guidelines www.igi-global.com/calls-for-papers/international-journal-intelligent-inform ation-technologies/1089 http://www.igi-global.com/calls-for-papers/international-journal-intelligen t-information-technologies/1089

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Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Chair, Department of Decision and Information Sciences

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: mailto:sugumara@oakland.edu sugumara@oakland.edu

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