Journal of Advanced Database Management & Systems

Journal of Advanced Database Management & Systems (JoADMS): Is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Advance database Management & systems.

The advanced database management & systems original research on all facets of database management, systems analysis and design, and software engineering. The primary origin of this journal is to be instrumental in the improvement and development of theory and practice related to information technology and management of information resources. The journal is targeted at both academic researchers and practicing IT professionals.

eISSN- 2393-8730

Focus & Scope:

  • Systems Analysis and Design
  • Semantic Web and Ontology’s
  • Knowledge Modeling and Processing
  • Sensor data Management
  • Temporal, Spatial and High dimensional databases
  • Database System and applications
  • Data warehousing and data mining, OLAP
  • Distributed ,Parallel , P2P and Grid -based Database
  • Emerging trends in XML Technology
  • Digital Libraries
  • Agile systems development
  • Bio-informatics
  • Cognitive modeling
  • Conceptual modeling
  • Data quality
  • Database for advanced applications
  • Database security and integrity
  • E-business and m-commerce models and architectures
  • Object oriented methods and methodologies
  • Software engineering
  • Web design methods and methodologies
  • Web database and Web-based information systems

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Invitation for Research & Review Articles for journal of advanced database management & systems  
Posted: 2013-10-16 More...
More Announcements...

Vol 4, No 3 (2017)

Table of Contents

Research Articles

Comparative Study of Traditional Protocols with Advanced Cache Coherence Protocols
Shailender Kumar 6-13
A Survey on Big Data Storage Issues in Cloud Computing Environment
Ashima Arya, Jagpreet Sidhu 1-5
Dynamic Update and Public Auditing with Dispute Arbitration for Cloud Data
Dr.B. Mahesh 14-19
Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abhinav Juneja, Prayans Jain, Siddharth . 20-25
Stock Market Data Analysis using Apache Hadoop
Abhinav Juneja, Shubham Jain, Ekta Gandhi 32-36

Review Articles

Scheduling in Hadoop Cluster: A Review
Nagina ., Sunita Dhingra 26-31

ISSN: 2393-8730