International Conference on Business Intelligence and Data Analytics (BIDA 2024)

Organized by RV Institute of Management (RVIM), Bangalore, India

 Technically Sponsored by Soft Computing Research Society

April 06-07, 2024The after-conference proceeding of the BIDA 2024 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

The after-conference proceeding of the BIDA 2024 will be published in Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies"

Call for Papers

RV Institute of Management (RVIM), India is going to organize the International Conference on Business Intelligence and Data Analytics (BIDA 2024)  during April 06-07, 2024. The conference is technically sponsored by the Soft Computing Research Society. 

 

Submissions

  • Full-length paper: Accepted papers will be published in the Scopus Indexed Springer Book Series "Smart Innovation, Systems and Technologies".
  • Abstract Only: Authors will be given the chance to present during the conference. 

The topics covered (but are not limited to) in the conference are as follows:

Business Intelligence: Decision Support Systems, Data Warehousing and Data Mining, Big Data Analytics, Predictive and Prescriptive Analytics, Machine Learning for Business Applications, Real-time Analytics and Stream Processing, Business Process Intelligence, Social Media Analytics, Data Governance and Quality, Ethical and Privacy Issues in BI and Data Analytics, Industry Applications of BI and Data Analytics

Data Science: Data pre-processing, Data clustering, Classification, Regression, Pattern recognition, Visualization, Time series forecasting, Optimization, Data Mining Techniques, Big Data Analytics, Self Organizing Maps, Multi-Criteria Decision Making, Text Analytics, Dynamic Pricing & Revenue Management, Multinomial Regression, Text Mining,  Fraud Analytics,  Panel Data,  Web Analytics,  Recommender Systems,  Bagging/Boosting,  Healthcare Analytics,     Retail Analytics,  Bayesian Regression, Internet of Things, Reinforcement Learning Algorithms,  Big Data Technologies,  Sentiment Analysis,   CHAID, Machine Learning techniques, Fuzzy Neural Networks, Deep Neural Networks.