About the Journal

ISSN: 2581-4370 (online)

Global Journal on Application of Data Science and Internet of Things has been conceptualized for effective dissemination and promulgation of original research in all fields of Data Science and Internet of Things. With a relentless pursuit of excellence, it aims at providing immaculate and superior research material, thus fostering the spirit of non-conformity, experimentation and de novo intellection among researchers in different parts of the world.

GJADSIT strives ardently to present inceptive, innovative and invaluable research developments, both application oriented and theoretical, in all possible domains of Data Science and Internet of Things to a broad audience of academic researchers and industry practitioners in all major faculties - research and development, management, strategic planning, purchasing, design & styling, marketing, human resources etc.

Ingeniousness and research impaction are the main parameters for evaluation of theoretical papers. Applications based on advanced theory and case studies aid in bridging the gap between theory and practice, and are particularly welcome.

General approaches, formalism's, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of GJADSIT is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields.

Although there is no restriction on the length of contributions, brevity will always be preferred. Brief articles will merit attention depending on their technical proficiency.

Discussions of previously published papers are also welcome.

Focus & Scope

Topics of relevance include all aspects of the scientific foundations, techniques, and applications of Data Science, Analytics & Internet of Things such as:

Data Science:

  • Association Rule Mining
  • Big Data Analysis
  • Big Data Infrastructure and Visualization
  • Bioinformatics
  • Behaviour Informatics
  • Business Analytics
  • Customer Analytics
  • Cloud Computing
  • Computational Biology
  • Computational Devices and Services
  • Computational Intelligence-Based Theories and Methods
  • Cultural Computing
  • Classification & Clustering
  • Data Discovery
  • Data Processing
  • Data Modelling
  • Data Mapping
  • Data Search
  • Data Interoperability
  • Data Exchange
  • Data Integration
  • Data Visualization
  • Data Preparation
  • Data Visualization
  • Data Security
  • Data Trust
  • Data Risk
  • Data Privacy
  • Data Characteristics
  • Data Complexities
  • Data Mining
  • Deep Learning
  • Data and Knowledge Creation
  • Decision Trees
  • Databases, Indexingand Query Processing
  • Descriptive Statistics
  • Economic Computing
  • Exploratory Data Analysis
  • Financial and Governmental Analytics
  • Hypothesis Testing
  • High-Performance Computing for Big Data
  • Health and Medical Analytics
  • Introduction to Data Warehousing and OLAP
  • Introduction to Big Data andHadoop
  • Inferential Statistics
  • Information Retrieval and Extraction
  • Large-Scale Optimization
  • Linear Regression
  • Machine Learning
  • Managing Big Data
  • Mobile Analytics
  • Network Analytics
  • Neural Networks
  • Ontologies andSemantic Web
  • Privacy and Security
  • Scalable Computing
  • Social Analytics
  • Statistical and Mathematical Techniques
  • Scientific Workflows
  • Support Vector Machines
  • Text Analytics
  • Tools and Languages Used For Data Analysis - R, Excel, SQL, Python & Tableau Etc.
  • Web/Online Analytics

 Internet of Things

  • Applications and Interaction for Social Networking
  • Business Models and Processes for The Internet of Things
  • Case Studies in Areas of Healthcare, Agriculture, Logistics andTransport
  • Communication Systems and Architectures for the Internet Of Things
  • Context-Awareness andLocation-Awareness
  • Future Technologies Bridging the Physical and Virtual Worlds
  • Green Internet of Things
  • Impacts on the Security, Privacy and Risks on the Physical World
  • Internet of Services
  • IOT Architectures, Platforms and Applications
  • IOT Services
  • Location and Discovery of Things on the Internet
  • Machine to Machine Communication
  • Mobile Internet of Things
  • Mobile Services
  • Network Design andArchitecture
  • Networking andCommunication Protocols
  • Performance Evaluation AndModelling
  • Robustness of Environmental Management with the Internet of Things
  • Security, Privacy andTrust
  • Semantic Web of Things
  • Sensor Webs
  • Smart Environment
  • Smart Objects
  • Smarter Sensors
  • Software Architecture andMiddleware
  • The Connected Home
  • The Smart City
  • Web of Things
  • Wearable Technology