International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) Impact Factor 2015 = 2.1542016 = 3.312017 = 4.0322018 = 5.0152018 = 5.9442020 = 6.1352021 = 7.2542022 = may vary2015 = 2.154 is peer-reviewed, online international journal published monthly by TechnoScience Academy (The International open Access Publisher) IJSRCSEIT is a highly-selective journal, covering topics that appeal to a broad readership of various branches of Computer Science, Engineering, Information Technology and related fields. The Journal has many benefits all geared toward strengthening research skills and advancing academic careers. Journal publications are a vital part of academic career advancement. To maintain a high-quality journal, manuscripts that appear in the IJSRCSEIT Articles section have been subjected to a rigorous review process. This includes blind reviews by one or more members of the international editorial review board, followed by a detailed review by the IJSRCSEIT editors.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) is :

International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT)

Journal Descriptions

International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) is :

International, Peer-Reviewed, Open Access, Refereed, Computer science, technology, Computing, Data processing , Online Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2456-3307, Established in - 2016, Impact Factor - 8.154

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Publications of IJSRCSEIT

An Applied Variation Anomaly Technique for Detection of Irregular Values in Data Mining

Dynamic Job Ordering and Slot Configurations for Mapreduce Workloads Using Heuristic Algorithm

Design of Improved Distributed Canny Edge Detection Algorithm (IDCEDA) and its VLSI Implementations

A Review article on Semi- Supervised Clustering Framework for High Dimensional Data

Study of Education Patterns in Rural and Urban India using Association Rule Mining : Implem entation

Digital India : An Insight, Opportunities and Challenge

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