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Advances in Business Intelligence and Information Technology
Submission Deadline: Sep. 30, 2016
Lead Guest Editor
Marzieh Faridi Masuleh
Information Technology Managment, Science and Research Branch, Islamic Azad University, Tehran, Iran
Guest Editor
  • Mohammad Ali Afshar Kazemi
    Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=135). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
Introduction
Information Technology has visited dramatically change of our society in many fields, including politics, business, commerce, socializing way and our lifestyle. In recent years, the convergence of Business Intelligence and Internet technologies in huge volume of data such as many different types of data sources and some kinds of knowledge extraction tools has led to many open source and commercial applications and tools. This special issue is to improve the dissemination of advanced research in the area of Business Intelligence, Data Mining, Data Warehousing, ETL, OLAP, Information Technology and Optimizing methods in BI that can fulfill the anytime-anywhere Control Business in any scope.
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