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KES 2018 / IADBIP 2018 : Invited Session on Interdisciplinary Approaches in Data Science and Business Intelligence Practice

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Link: http://kes2018.kesinternational.org/cmsISdisplay.php
 
When Sep 3, 2018 - Sep 5, 2018
Where Belgrade, Serbia
Submission Deadline Mar 31, 2018
Notification Due Apr 27, 2018
Final Version Due May 27, 2018
Categories    business intelligence   data warehousing   data science   data analytics
 

Call For Papers

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Invited Session on
Interdisciplinary Approaches in Data Science and Business Intelligence Practice (IADBIP 2018)
URL: http://kes2018.kesinternational.org/cmsISdisplay.php

Organized within the framework of the
22th International Conference on on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2018)

Belgrade, Serbia, 3 - 5 September, 2018
URL: http://kes2018.kesinternational.org/

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SCOPE & TOPICS

One of the main issues in many organization systems is how to transform large amounts of daily collected operational data into useful knowledge from the perspective of declared com¬pany goals and expected business values. The main concern of the invited session is a Business Intelligence (BI) and Data Science (DS) paradigms, as a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information, knowledge, and value. Various interdisciplinary oriented BI and DS 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 and DS 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, interdisciplinary approaches were used in analyzing big data gathered from not only business sectors, but also public, non-profit, and governmental 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 and DS. The focus may be set to various aspects, such as: data warehousing, reporting, online analytical processing, data analytics, data mining, process mining, text mining, predictive 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 and DS approaches in public and governmental 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
* Data Science and Business Intelligence Applications and industry experience
* Digitization and impacts for Business Intelligence
* Business Intelligence, digitization and data driven business models
* Business Analytics and the new role of IT in enterprises
* Impacts of Business Analytics for the performance of profit or non-profit organizations
* 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
* Mobile BI, Smart Data, Smart Services, and Smart Products
* 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 conference.
* The required full paper length is 8 to 10 pages. Call for papers and detailed information for the authors can be found at http://kes2018.kesinternational.org/submission.php.
* Papers to be considered for the conference must be submitted through the PROSE online submission and review system available at http://kes2018.kesinternational.org/prose.php.



IMPORTANT DATES

* Paper submission: 31 March, 2018
* Acceptance notification: 27 April, 2018
* Final paper submission: 25 May, 2018
* Conference: 3 - 5 September, 2018


WORKSHOP CHAIRS

* Ivan Lukovic, University of Novi Sad, Serbia
* Ralf-Christian Härting, University of Aalen, Germany

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