Department of Computer Science, MGM's Dr. G. Y. Pathrikar College of Computer Science and Information Technology,
Aurangabad, Maharashtra, India
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 Submissions must be previously unpublished and may not be under consideration elsewhere.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=137). 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.
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.
Data Mining has made a profound impact on business practices and knowledge management in recent years. Business intelligence has emerged as one of the most popular applications of many data mining techniques. However, as our understanding of data mining improved, it became clear that in order to allow data mining to further its impact on business applications, it would be necessary to align the data mining process and algorithms with the broad economic objectives of the tasks supported by data mining. The aim of this Special Issue is, to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of Data Mining and Knowledge Discovery. In this special issue, Scientists/Researchers/Students/Other Scholar are invited, to submit their novel, innovative original research, case study, survey paper or extensive review articles that study the state-of-the-art interactions among advanced Data mining, Cloud Mining, Web Mining and Text mining.
Aims and Scope:
Potential topics of interest include, but are not limited to: 1.Mobile application with Data Warehouse technology 2.Mobile application with Data Mining technology 3.DSS (Decision Support System) 4.EIS (Executive Information System) 5.Expert System 6.Big Data 7.Business Intelligence 8.Data Warehouse 9.Knowledge Discovery and Extraction 10.Mining fields: Data Mining, Text Mining, Cloud Mining, Web Mining 11.Information Extraction and Retrievals 12.Semantic Web Mining and Ontology