KES-IDT / IABIRP 2017 : IS06: Interdisciplinary Approaches in Business Intelligence Research and Practice

  • 13 Jan 2017 1:42 PM
    Message # 4545827
    Link: http://idt-17.kesinternational.org/cmsISdisplay.php
     
    When Jun 21, 2017 - Jun 23, 2017
    Where Vilamoura, Algarve, Portugal
    Submission Deadline Jan 16, 2017
    Notification Due Feb 13, 2017
    Final Version Due Mar 13, 2017
    Categories    data science   business intelligence   data mining   data warehouse
     

    Call For Papers

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    Invited Session on 
    Interdisciplinary Approaches in Business Intelligence Research and Practice (IABIRP 2017) 
    URL: http://idt-17.kesinternational.org/cmsISdisplay.php 

    Organized within the framework of the 9th International Conference on Intelligent Decision Technologies (KES IDT 2017) 

    Vilamoura, Algarve, Portugal, 21 - 23 June, 2017 
    URL: http://idt-17.kesinternational.org/ 

    *********************************************************************************************** 


    SCOPE & TOPICS 

    One of the ever hot issues in many organization systems is how to transform large amounts of daily collected operational data into the useful knowledge from the perspective of declared company goals and expected business values. The main concern of this invited session is a Business Intelligence (BI) paradigm, as a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information and knowledge. Various interdisciplinary oriented BI approaches may provide organizations the ability to use their data to improve quality of business, increase financial efficiency and operational effectiveness, conduct innovative research and satisfy regulatory requirements. Applications of appropriate BI implementation methodologies together with outcomes related to collaborative and interdisciplinary approaches are inevitable when applying BI approaches to large and complex organization systems. For many years, such interdisciplinary approaches were used in analyzing big data gathered from not only business sectors, but also public, non-profit, and government sectors. 

    The main goal of the session is to attract researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies in the area of BI. The focus may be set to various BI and Data Science aspects, such as: data warehousing, reporting, online analytical processing, data analytics, data mining, process mining, text mining, predictive analytics and prescriptive analytics, as well as various aspects of big data analysis and time series analysis. We express an interest in gathering scientists and practitioners interested in applying BI approaches in public and government sectors, such as healthcare, education, or security services. However, experts from all sectors are welcomed. 

    Submissions are expected from, but not limited to the following topics: 

    * Data Science and Business Intelligence – Theoretical and practical aspects 
    * Business Intelligence Applications and Industry Experience 
    * Digitization and impacts for Business Intelligence 
    * Data Warehousing, Data Mining, Online Analytical Processing, and Reporting Capabilities 
    * Statistical analysis and characterization, predictive analytics and prescriptive analytics 
    * Process Mining, Pattern Mining, and Swarm Intelligence 
    * Data quality assessment and improvement: preprocessing, cleaning, and missing data 
    * Semi-structured or unstructured data in BI systems 
    * Information integration for data and text mining 
    * Dynamic Pricing: potentials and BI Approaches 
    * Cloud-computing models and scalability in BI systems 
    * Data privacy and security issues in BI systems 
    * Digital Marketing, new web services, semantic web and data analytics 
    * Business Intelligence and Analytics for Healthcare and other Public Sectors 
    * Educational Data Mining 
    * Social network data analysis 
    * Web survey methods in Business Intelligence 
    * Organizational and human factors, skills, and qualifications for BI Approaches 
    * Teaching BI approaches in academic and industrial environments 

    PAPER SUBMISSION 


    * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. 
    * The papers will be scheduled for presentation either orally or by poster, depending on their attributes, author preferences and referee recommendations. Please note that poster presentations are regarded as being of equal importance to oral presentations. 
    * The required paper length is 10 pages in publisher format. Papers longer than this may be subject to an additional charge. Papers much longer or shorter than the required length may be rejected, at the decision of the organizers. 
    * Papers to be considered for the conference must be submitted through the PROSE online submission and review system. 


    IMPORTANT DATES 

    * Paper submission: 16 January, 2017 
    * Acceptance notification: 13 February, 2017 
    * Final paper submission: 13 March, 2017 
    * Conference: 21 - 23 June, 2017 


    WORKSHOP CHAIRS 

    * Ivan Lukovic, University of Novi Sad, Serbia 
    (http://www.acs.uns.ac.rs/en/user/10, ivan@uns.ac.rs) 

    * Ralf-Christian Härting, Hochschule Aalen, Germany 
    (https://www.hs-aalen.de/de/users/173, Ralf.Haerting@hs-aalen.de)


    Last modified: 13 Jan 2017 1:54 PM | Hochschule Aalen
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