Latest issue of the International Journal of Business Intelligence and Data Mining (IJBIDM)

> The content of the latest issue of:
> International Journal of Business Intelligence and Data Mining (IJBIDM)
> Vol. 2 No. 4, 2007
> ISSN (Online): 1743-8195 - ISSN (Print): 1743-8187
> --------------------------------------------------------------------------

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> Editor-In-Chief:
> David Taniar, Monash University, Australia
> david.taniar@infotech.monash.edu.au
>
> RESEARCH PAPERS:
>
> Title: Extended RBAC-based design and implementation for a secure data
warehouse
> Author: Bhavani Thuraisingham, Murat Kantarcioglu, Srinivasan Iyer
> URL: http://www.inderscience.com/link.php?id=16379
>
> Title: Distribution-based methods of preserving data privacy in
Distributed Spatial Data Warehouse
> Author: Marcin Gorawski, Jakub Bularz
> URL: http://www.inderscience.com/link.php?id=16380
>
> Title: Understanding the structure of terrorist networks
> Author: Nasrullah Memon, David L. Hicks, Henrik Legind Larsen, Muhammad
Aslam Uqaili
> URL: http://www.inderscience.com/link.php?id=16381
>
> Title: Application of association rules mining to Named Entity Recognition
and co-reference resolution for the Indonesian language
> Author: Indra Budi, Stephane Bressan
> URL: http://www.inderscience.com/link.php?id=16382
>
> Title: Knowledge worker intranet behaviour and usability
> Author: Peter Geczy, Noriaki Izumi, Shotaro Akaho, Koiti Hasida
> URL: http://www.inderscience.com/link.php?id=16383
>
> Title: A novel Supervised Instance Selection algorithm
> Author: Shirish S. Sane, Ashok A. Ghatol
> URL: http://www.inderscience.com/link.php?id=16384
>
> Title: Knowledge actionability: satisfying technical and business
interestingness
> Author: Longbing Cao, Dan Luo, Chengqi Zhang
> URL: http://www.inderscience.com/link.php?id=16385
> *****************************************************
> For full copies of the above articles, check for this issue of
International Journal of Business Intelligence and Data Mining (IJBIDM) in
your Institution's library.  If your library is not currently subscribed to
this Journal, please recommend IJBIDM subscription to  your librarian.
> *****************************************************
> CALL FOR PAPERS
>
> Objectives of IJBIDM:
>
> Business intelligence and data mining share many common issues. IJBIDM
aims to stimulate the exchange of ideas and interaction between these
related fields of interest. It is intended to be the premier technical
publication in the field, providing a resource collection relevant common
methods and techniques and a forum for unifying the diverse constituent
research communities in business intelligence and intelligent data analysis.
Advances in data gathering, distribution and analysis have also created a
need for an application of intelligent data analysis techniques to solve
business modelling problems.
> IJBIDM publishes original research results, surveys and tutorials of
important areas and techniques, detailed descriptions of significant
applications, technical advances and news items concerning use of
intelligent data analysis technique in business applications. IJBIDM puts a
heavy emphasis on new data analysis architectures, methodologies, and
techniques and their applications in business.
>
> Coverage of IJBIDM:
>
> Business Intelligence:
> * Data extraction and reporting
> * OLAP
> * Data cleaning and pre-processing
> * Decision analysis
> * Causal modelling
> * Reasoning under uncertainty
> * Uncertainty and noise in data
> * Business intelligence cycle, and model
specification/selection/estimation
> * Web technology, mining and agents
> Intelligent Techniques:
> * Fuzzy, neural, and evolutionary approaches
> * Genetic algorithms
> * Machine learning
> * Expert systems
> * Hybrid systems
> * Bayesian inference, bootstrap and randomisation
> Data Analysis and Data Mining:
> * Exploratory and automated data analysis
> * Knowledge-based analysis
> * Statistical pattern recognition
> * Data mining algorithms and processes
> * Classification, projection, regression, optimisation clustering
> * Information extraction and retrieval
> * Multivariate data visualisation
> Applications and Tools:
> * Visualisation tools
> * Applications (e.g. commerce, engineering, finance, manufacturing,
science)
> * Human-computer interaction in intelligence data analysis
> * Business intelligence and data analysis systems and tools
>
> IJBIDM is devoted to the publications of high quality papers on
theoretical developments and practical applications in business
intelligence, data analysis and data mining. Original research papers,
state-of-the-art reviews, and technical notes are invited for publications.
Special issues are devoted to current issues in business intelligence and
techniques. IJBIDM also publishes best papers from international conferences
in the areas relevant to the journal.
>
> Papers published in IJBIDM are geared heavily towards applications (use of
intelligence data analysis and mining techniques in business applications),
with an anticipated split of 70% of the papers published being
applications-oriented, research and the remaining 30% containing more
theoretical research.
>
> Submission guidelines can be found at
http://www.inderscience.com/mapper.php?id=29
>
> All inquiries and submissions should be sent to:
> Editor-In-Chief: Dr. David Taniar at
> david.taniar@infotech.monash.edu.au
>
> An email copy only should be sent to:
> Editor-in-Chief
> IEL Editorial Office
> ijbidm@inderscience.com
>
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