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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNoSpacing>The contents of the latest issue of:<o:p></o:p></p><p class=MsoNoSpacing><b>International Journal of Intelligent Information Technologies (IJIIT)<o:p></o:p></b></p><p class=MsoNoSpacing>Official Publication of the Information Resources Management Association<o:p></o:p></p><p class=MsoNoSpacing>Volume 9, Issue 1, January - March 2013<o:p></o:p></p><p class=MsoNoSpacing>Published<span style='color:black'>: Quarterly in Print and Electronically<o:p></o:p></span></p><p class=MsoNoSpacing><span style='color:black'>ISSN: </span>1548-3657 <span style='color:black'>EISSN: 1548-3665<o:p></o:p></span></p><p class=MsoNoSpacing><span style='color:black'>Published by IGI</span> Publishing, Hershey-New York, USA<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/ijiit">www.igi-global.com/ijiit</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Editor-in-Chief: Vijayan Sugumaran, Oakland University, USA<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b>PAPER ONE<o:p></o:p></b></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'>Identifying Influencers in Online Social Networks: The Role of Tie Strength<o:p></o:p></span></b></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='color:#333333;background:white'>Yifeng Zhang (Department of Management Information Systems, University of Illinois at Springfield, Springfield, Illinois, USA), Xiaoqing Li (Department of Management Information Systems, University of Illinois at Springfield, Springfield, Illinois, USA) and Te-Wei Wang (Department of Management Information Systems, University of Illinois at Springfield, Springfield, Illinois, USA)<o:p></o:p></span></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criterion for influencer identification on OSNs. Results show that identifying influencers by the number of strong connections that a user has is superior to doing so by the total number of connections when the strength of strong connections is relatively high compared to that of weak connections or there is a relatively high percentage of strong connections between users. Implications of the results are discussed.<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To obtain a copy of the entire article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/article/identifying-influencers-online-social-networks/75543">http://www.igi-global.com/article/identifying-influencers-online-social-networks/75543</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To read a PDF sample of this article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/viewtitlesample.aspx?id=75543&ptid=71340&t=identifying+influencers+in+online+social+networks%3a+the+role+of+tie+strength">http://www.igi-global.com/viewtitlesample.aspx?id=75543&ptid=71340&t=identifying+influencers+in+online+social+networks%3a+the+role+of+tie+strength</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b>PAPER TWO<o:p></o:p></b></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'>A Novel Approach for Detecting and Classifying Breast Cancer in Mammogram Images<o:p></o:p></span></b></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='color:#333333;background:white'>S. Shanthi (Kongu Engineering College, Erode, Tamil Nadu, India) and V. Murali Bhaskaran (Paavai College of Engineering, Namakkal, Tamil Nadu, India)<o:p></o:p></span></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>This study uses data mining techniques for computer-aided diagnosis that involves the feature extraction for cancer detection, so as to help doctors towards making optimal decisions quickly and accurately. Features play an important role in detecting the cancer in the digital mammogram and feature extraction stage is the most vital and difficult stage. In this paper, an enhanced feature extraction method named Multiscale Surrounding Region Dependence Method (MSRDM) is proposed to be effective in classifying the mammogram images into normal or benign or malignant. This proposed system is based on a four-step procedure: Regions of Interest specification, two dimensional discrete wavelet transformation, and multiscale surrounding region dependence matrix computation and feature extraction. The performance of the proposed feature set is compared with the conventional texture-analysis methods such as gray level cooccurence matrix features and surrounding region dependence method features. Experiments have been conducted on both real and benchmark data and the results have been proved to be progressive.<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To obtain a copy of the entire article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/article/novel-approach-detecting-classifying-breast/75544">http://www.igi-global.com/article/novel-approach-detecting-classifying-breast/75544</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To read a PDF sample of this article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/viewtitlesample.aspx?id=75544&ptid=71340&t=a+novel+approach+for+detecting+and+classifying+breast+cancer+in+mammogram+images">http://www.igi-global.com/viewtitlesample.aspx?id=75544&ptid=71340&t=a+novel+approach+for+detecting+and+classifying+breast+cancer+in+mammogram+images</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b>PAPER THREE<o:p></o:p></b></p><p class=MsoNoSpacing><br><b><span style='color:#333333;background:white'>Query Optimization: An Intelligent Hybrid Approach using Cuckoo and Tabu Search<o:p></o:p></span></b></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='color:#333333;background:white'>Mukul Joshi (Department of Computer Science and Information System, Birla Institute of Technology & Science, Pilani Rajasthan, India) and Praveen Ranjan Srivastava (Department of Computer Science and Information System, Birla Institute of Technology & Science, Pilani Rajasthan, India)<o:p></o:p></span></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Query optimization is an important aspect in designing database management systems, aimed to find an optimal query execution plan so that overall time of query execution is minimized. Multi join query ordering (MJQO) is an integral part of query optimizer. This paper aims to propose a solution for MJQO problem, which is an NP complete problem. This paper proposes a heuristic based algorithm as a solution of MJQO problem. The proposed algorithm is a combination of two basic search algorithms, cuckoo and tabu search. Simulation shows some exciting results in favour of the proposed algorithm and concludes that proposed algorithm can solve MJQO problem in less amount of time than the existing methods.<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To obtain a copy of the entire article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/article/query-optimization-intelligent-hybrid-approach/75545">http://www.igi-global.com/article/query-optimization-intelligent-hybrid-approach/75545</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To read a PDF sample of this article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/viewtitlesample.aspx?id=75545&ptid=71340&t=query+optimization%3a+an+intelligent+hybrid+approach+using+cuckoo+and+tabu+search">http://www.igi-global.com/viewtitlesample.aspx?id=75545&ptid=71340&t=query+optimization%3a+an+intelligent+hybrid+approach+using+cuckoo+and+tabu+search</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b>PAPER FOUR<o:p></o:p></b></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'>Detecting Distributed Predicates Using Genetic Algorithms<o:p></o:p></span></b></p><p class=MsoNoSpacing><b><span style='color:#333333;background:white'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='color:#333333;background:white'>Eslam Al Maghayreh (Computer Sciences Department, Yarmouk University, Irbid, Jordan), Iyad Abu Doush (Computer Sciences Department, Yarmouk University, Irbid, Jordan) and Faisal Alkhateeb (Computer Sciences Department, Yarmouk University, Irbid, Jordan)<o:p></o:p></span></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Detection of distributed predicates is one of the techniques that have been used in the literature to improve the dependability of distributed programs. This technique (sometimes referred to as runtime verification) is used to verify that a given run of a distributed program satisfies certain properties (specified as predicates). In general, the detection of a distributed predicate can incur significant overhead due to the existence of multiple processes running concurrently. Several techniques have been introduced in the literature to efficiently detect distributed predicates. However, most of these techniques work efficiently for certain classes of predicates, like conjunctive predicates. In this paper, the authors have presented a technique based on genetic algorithms to efficiently detect distributed predicates under the possibly modality. The authors have used JGAP (Java Genetic Algorithms Package) to implement the algorithm and conducted several experiments to demonstrate its effectiveness.<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To obtain a copy of the entire article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/article/detecting-distributed-predicates-using-genetic/75546">http://www.igi-global.com/article/detecting-distributed-predicates-using-genetic/75546</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>To read a PDF sample of this article, click on the link below.<o:p></o:p></p><p class=MsoNoSpacing><a href="http://www.igi-global.com/viewtitlesample.aspx?id=75546&ptid=71340&t=detecting+distributed+predicates+using+genetic+algorithms">http://www.igi-global.com/viewtitlesample.aspx?id=75546&ptid=71340&t=detecting+distributed+predicates+using+genetic+algorithms</a><o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>*****************************************************<o:p></o:p></p><p class=MsoNoSpacing>For full copies of the above articles, check for this issue of the <b>International Journal of Intelligent Information Technologies (IJIIT) </b>in your institution's library. This journal is also included in the IGI Global aggregated "<b>InfoSci-Journals</b>" database: <a href="http://www.igi-global.com/eresources/infosci-journals.aspx">http://www.igi-global.com/eresources/infosci-journals.aspx</a>.<o:p></o:p></p><p class=MsoNoSpacing>*****************************************************<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><b>CALL FOR PAPERS<o:p></o:p></b></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Mission of IJIIT:<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing><span style='color:black'>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 <b>International Journal of Intelligent Information Technologies (IJIIT)</b> 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.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='color:black'>Coverage of </span>IJIIT<span style='color:black'>:<o:p></o:p></span></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>The <b>International Journal of Intelligent Information Technologies (IJIIT)</b> encourages quality research dealing with (but not limited to) the following topics:<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Agent-based auction, contracting, negotiation, and ecommerce<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Agent-based control and supply chain<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Agent-based simulation and application integration<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Cooperative and collaborative systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Distributed intelligent systems and technologies<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Human-agent interaction and experimental evaluation<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Implementation, deployment, diffusion, and organizational impact<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Integrating business intelligence from internal and external sources<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Intelligent agent and multi-agent systems in various domains<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Intelligent decision support systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Intelligent information retrieval and business intelligence<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Intelligent information systems development using design science principles<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Intelligent Web mining and knowledge discovery systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Manufacturing information systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Models, architectures and behavior models for agent-oriented information systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Multimedia information processing<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Privacy, security, and trust issues<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Reasoning, learning, and adaptive systems<o:p></o:p></p><p class=MsoNoSpacing style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]>Semantic Web, Web services, and ontologies <o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>Interested authors should consult the journal's manuscript submission guidelines <a href="http://www.igi-global.com/ijiit">www.igi-global.com/ijiit</a>.<o:p></o:p></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNoSpacing>All inquiries and submissions should be sent to:<o:p></o:p></p><p class=MsoNoSpacing>Editor-in-Chief: Dr. Vijayan Sugumaran at <a href="mailto:%20sugumara@oakland.edu">sugumara@oakland.edu</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>