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IJDMS 2021 : International Journal of Database Management Systems

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Link: http://airccse.org/journal/ijdms/index.html
 
When N/A
Where N/A
Submission Deadline Feb 27, 2021
Notification Due Mar 27, 2021
Final Version Due Apr 4, 2021
Categories    data mining   big data   data science   databases
 

Call For Papers

International Journal of Database Management Systems (IJDMS)

Citations, h-index, i10-index of IJDMS

Scope and Topics

The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems..

Topics of interest include, but are not limited to, the following :

  • Constraint Modelling and Processing
  • Data and Information Integration & Modelling
  • Data and Information Networks
  • Data and Information Privacy and Security
  • Data and Information Quality
  • Data and Information Semantics
  • Data and Information Streams
  • Data Management in Grid and P2P Systems
  • Data Mining Algorithms
  • Data Mining Systems, Data Warehousing, OLAP
  • Data Structures and Data Management Algorithms
  • Database and Information System Architecture and Performance
  • DB Systems & Applications
  • Digital Libraries
  • Distributed, Parallel, P2P, and Grid-based Databases
  • Electronic Commerce and Web Technologies
  • Electronic Government & e-Participation
  • Expert Systems and Decision Support Systems
  • Expert Systems, Decision Support Systems & applications
  • Information Retrieval and Database Systems
  • Information Systems
  • Interoperability
  • Knowledge Acquisition, discovery & Management
  • Knowledge Modelling
  • Knowledge Processing
  • Metadata Management
  • Mobile Data and Information
  • Multi-databases and Database Federation
  • Multimedia, Object, Object Relational, and Deductive Databases
  • Pervasive Data and Information
  • Process Modelling
  • Process Support and Automation
  • Query Processing and Optimization
  • Semantic Web and Ontologies
  • Sensor Data Management
  • Statistical and Scientific Databases
  • Temporal, Spatial, and High Dimensional Databases
  • Trust, Privacy & Security in Digital Business
  • User Interfaces to Databases and Information Systems
  • Very Large Data Bases
  • Workflow Management and Databases
  • WWW and Databases
  • XML and Databases

Paper Submission:

Authors are invited to submit papers for this journal through Email: ijdmsjournal@airccse.org or through Submission System Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates :

Submission Deadline: February 27, 2021
Authors Notification:March 27, 2021
Final Manuscript Due:April 04, 2021
Publication Date:Determined by the Editor-in-Chief

Related Journal

International Journal of Data Mining & Knowledge Management Process (IJDKP)

Current Issue

June 2020, Volume 12, Number 3

Design, Implementation, and Assessment of Innovative Data Warehousing; Extract, Transformation, and Load(ETL); and Online Analytical Processing(OLAP) on BI Full Text
Ramesh Venkatakrishnan, Colorado Technical University, USA

HISTSFC: Optimization for ND Massive Spatial Points Querying Full Text
Haicheng Liu1, Peter van Oosterom1, Martijn Meijers1, Xuefeng Guan2, Edward Verbree1, Mike Horhammer3,1Delft University of Technology, the Netherlands, 2Wuhan University, China and 3Oracle Inc, USA

A Context-aware Strategy for Mobile Services in M-commerce Full Text
Kuen-Liang Sue, National Central University Taoyuan, Taiwan

Sarcasm Detection Beyond using Lexical Features Full Text
ADEWUYI Joseph Oluwaseyi and OLADEJI Ifeoluwa David, University of Ibadan, Nigeria

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Editorial Board Members

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