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International Journal of Data Mining And Emerging Technologies


SJIF 2019:
Under evaluation
Area: Multidisciplinary
Evaluated version: online
Previous evaluation SJIF
2018: Not indexed
2017: Not indexed
2016: 6.491
2015: 6.334
The journal is indexed in:
SJIFactor.com
Basic information  
Main title International Journal of Data Mining And Emerging Technologies
ISSN 2249-3220 (E) / 2249-3212 (P)
URL http://www.indianjournals.com/ijor.aspx?target=ijor:ijdmet&type=home
Country  India
Journal's character Scientific
Frequency Biannual
License All rights reserved - no automatic licence
Texts availability Free
Contact Details  
Editor-in-chief Dr. A.V. Senthil Kumar
  Professor and Director, Department of MCA, Hindusthan College of Arts and Science, Coimbatore - 641 006, Tamilnadu, India. Email: avsenthilkumar@yahoo.com
   India
Publisher IndianJournals.com
  C/o Diva Enterprises Pvt. Ltd. B-9, Local Shopping Complex, A-Block, Naraina Vihar, Ring Road New Delhi - 110028, India Email: submission@indianjournals.com
Journal's description  
This journal aims to provide a snapshot of the latest research and advances in the field of DATA MINING and EMERGING TECHNOLOGIES.
This journal seeks to provide the latest research and the best practices in the field of data mining. This journal provides theoretical and pragmatic viewpoints on data mining and also provide guidance to the professionals who will use this journal to inform their practices. The journal incorporate various advanced data mining techniques and algorithms of various integrated data mining systems and applications. Implementation of advanced data mining techniques will be very helpful for scientists, engineers, and physicians as well as researchers, and infrastructures that support them. In addition to these, as researchers revealed data mining is the process of automatic discovery of patterns, transformations, associations and anomalies in massive databases, and is a highly interdisciplinary field representing the confluence of multiple disciplines, such as database systems, data warehousing, machine learning, statistics, algorithms, data visualization, and high-performance computing.

Indexed/Abstracted with - Scientific Journal Impact Factor - 6.491, Index Copernicus International(2015, ICV - 82.45), NAAS Rating 2018 - 3.48, Indian Citation Index, Google scholar, J-Gate, Agri-cola, EBSCO Discovery, Summon(PrQquest), CNKI Scholar, Primo and Primo Central, Indian Science Abstract, Indian Science, Cite Factor, InfoBase Index(IB Factor - 2.7), I2OR, ESJI, DRJI, ISRA-JIF and IIJIF.







 
 
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