Global Journal on Application of Data Science and Internet of Things

Global Journal on Application of Data Science and Internet of Things

ISSN: 2581-4370 (online)

Indexed in Google Scholar, International Institute of Organized Research (I2OR), Academic Keys,IIJIF,Cosmos Impact Factor, J-Gate

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:

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