Data Analytics and Business Decisions
Research Group, Indian Institute of Information Technology Kottayam
Welcome
Data Analytics and Business Decisions Research Group focus on optimized strategies using descriptive and predictive analytics to produce data-driven insights that in turn generate impressive business decisions. The research group utilize state-of-the-art analytics and optimization tools and techniques to identify trends, patterns, and relationships using which businesses can make informed decisions. By conducting research and publishing findings, the group will help businesses better understand the benefits of data analytics and how to implement it effectively.
Aim:
To advance the field of data analytics and informed business decision-making through rigorous research, development, and innovation.
Objectives:
To achieve its aim, the data analytics and business decisions research group consider a range of activities, including:
- To conduct cutting-edge research into new methods and techniques for data analysis, such as machine learning, data mining, and natural language processing.
- To develop innovative applications of data analytics, such as predictive analytics, supply chain optimization, and customer segmentation.
- To collaborate with academic and industry partners to share knowledge and expertise, and to develop new solutions to business challenges.
- To provide training and education to help businesses understand the value of data analytics and how to use it effectively in their operations.
- To contribute to the development of standards and best practices in the field of data analytics, and advocate for the use of data-driven decision-making in business.
Head
Dr P. Victer Paul PhD
Department of Computer Science and Engineering
Indian Institute of Information Technology Kottayam,
Pala, Kottayam - 686635, Kerala, India.
Email: victerpaul@iiitkottayam.ac.in
Phone: +91 04822202165 / +91 9944913170
Our Research
Business Intelligence
Research on how to extract insights and meaning from large and complex data sets, with the aim of improving business decision-making. This could involve developing new visualization techniques, data mining algorithms, or analytics dashboards.
Text and Sentiment Analysis
Investigating methods for extracting insights and sentiments from textual data sources such as customer reviews, social media posts, and survey responses. This research area involves natural language processing, sentiment analysis, and text-mining techniques.
Predictive Analytics
Developing and improving algorithms and models for predicting future business outcomes based on historical data. This could include techniques such as regression analysis, time series analysis, machine learning, and data mining.
Data Visualization
Exploring techniques and tools for effectively communicating complex data and analysis results to stakeholders. This area focuses on developing visual representations that enhance understanding, aid decision-making, and facilitate insights.
Our Team
Faculty Members
International Collaborator
Academic Collaborators
Industry Experts
PhD Scholars
B.Tech Students and Alumni
Interns
Projects
Research Funding Sanctioned
S.NO | Project Funding Agency | Project Title | Funding (Rs.) | Status |
---|---|---|---|---|
1 | SERB CRG | AI-based Mobility Model for Alternative Fuel Vehicles (AFV) to optimize the route and Mitigate CO Emission using the prevailing AFV Fuel Infrastructure in India | 24 Lakhs | On-going |
2 | MSME | AutoHire - An AI- Based Automated Technical Interview Solution | 15 Lakhs | On-going |
3 | AICTE ATAL | AICTE ATAL FDP on Sensor Data Analytics | 93000 | Completed |
4 | Volkswagen Germany, German Centre for Artificial Intelligence | Foundation AI FORA, Joint Collaborative Project of 5 nations (Germany, Estonia, USA, China, India) | 250 Lakhs | In progress |
Patents And Copyrights
S.NO | Patent | Date of Application | National or International |
---|---|---|---|
1 | Smart Pulse Diagnostic Kit | August 2022 | Indian Patent |
Publications
- P. Victer Paul, Harika Krishna and Jayakumar L. "Evolution of Data Analytics in Healthcare." Handbook of Research on Emerging Trends and Applications of Machine Learning. IGI Global, 2020. 250-275. Web. 29 Jan. 2020. doi:10.4018/978-1-5225-9643-1.ch012.
- Arokiaraj, Ganeshkumar, and P Victer Paul. "Innovative management system for environmental sustainability practices among Indian auto-component manufacturers." International Journal of Business Innovation and Research, Inderscience, 23, no. 2 (Sept 2020): 168-182. ISSN: 1751-0252 [Scopus Indexed]
- Deepika N, P. Victer Paul, “Stock Market Prediction Based on Technical-Deviation-ROC Indicators Using Stock and Feeds Data", Recent Advances in Computer Science and Communications, 2021, 13, 1-9. ISSN: 2666-2558. [Scopus Indexed]
- Ranjeeth, S., T. P. Latchoumi, and P. Victer Paul. "Role of gender on academic performance based on different parameters: Data from secondary school education”, Volume 29, Data in brief (2020), Elsevier, p.105257. ISSN 2352-3409. [ESCI, Scopus Indexed]
- David, Arokiaraj and C. Ganesh Kumar, and P. Victer Paul. "Blockchain Technology in the Food Supply Chain: Empirical Analysis," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol.15, no.3 2022: pp.1-12. http://doi.org/ 10.4018/IJISSCM.290014 [ESCI, SCOPUS indexed]
- S Ranjeeth, T.P.Latchoumi, P Victer Paul, "A Survey on Predictive Models of Learning Analytics", International Conference on Computational Intelligence and Data Science (ICCIDS 2019), Procedia Computer Science, Elsevier, Volume 167, 2020, Pages 37-46, ISSN 1877-0509. [Scopus Indexed]
- N. Deepika, M.Nirupama Bhat, P. Victer Paul, “Influence of the Climate Change On The Stock Market", International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-11, September 2019.ISSN: 2278-3075. [Scopus Indexed]
- S Ranjeeth, T.P. Latchoumi and P Victer Paul, “Optimal Stochastic Gradient Descent with Multilayer Perceptron Based Student's Academic Performance Prediction Model”, Recent Advances in Computer Science and Communications (2020) [Scopus Indexed]
- Nalabala, D., Bhat, M.N., P. Victer Paul, “An Amalgamation of Big Data Analytics with Tweet Feeds for Stock Market Trend Anticipating Systems: A Review”, Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics. Springer, 2021. https://doi.org/10.1007/978-3-030-54108-8_17
- N. Deepika, P. Victer Paul. (2020) “Analyzing Effect of Political Situations on Sensex-Nifty-Rupee—A Study Based on Election Results”, Proceedings of the Third International Conference on Computational Intelligence and Informatics. Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore.[Scopus Indexed]
- J. Vijayaraj, R. Saravanan, P. Victer Paul and R. Raju, "A comprehensive survey on big data analytics tools," 2016 Online International Conference on Green Engineering and Technologies (IC-GET), Coimbatore, 2016, pp. 1-6.[Scopus Indexed]
- S. Naveen Balaji, P. Victer Paul, R. Saravanan,” Survey on Sentiment Analysis based Stock Prediction using Big data Analytics”, International IEEE Conference on Innovations in Power and Advanced Computing Technologies [i-PACT-2017], Chennai, 2017, pp. 1-5.[Scopus Indexed]
- P. Victer Paul, S. Yogaraj, H. Bharath Ram, A. Mohamed Irshath,” Automated Video Object Recognition System”, International IEEE Conference on Innovations in Power and Advanced Computing Technologies [i-PACT2017], Chennai, 2017, pp. 1-5. [Scopus Indexed]
- P. Victer Paul, K. Monica, M. Trishanka,” A Survey on Big Data Analytics using Social Media Data”, International IEEE Conference on Innovations in Power and Advanced Computing Technologies [i-PACT2017], Chennai, 2017, pp. 1-5.[Scopus Indexed]
- Ashwini S, N.R Rajalakshmi, Victer Paul. P, Jayakumar L, "Dynamic NLP Enabled Chatbot for Rural Health Care in India," 2022 IEEE Second International Conference on Computer Science, Engineering and Applications (ICCSEA), 2022 [Scopus Indexed]
- Nalabala, D., Bhat, M.N., P. Victer Paul, “An Amalgamation of Big Data Analytics with Tweet Feeds for Stock Market Trend Anticipating Systems: A Review”, Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics. Springer, 2021. https://doi.org/10.1007/978-3-030-54108-8_17
- N. Deepika, M. Nirupama Bhat, P. Victer Paul. “Study on Indian Stock Market Performance based on Commodities: Study on Indian Stock Market Performance based on Commodities." Handbook of Research on Applied AI for International Business and Marketing Applications. IGI Global, Sept 2020. 250-275. Web. Mar. 2020. doi: 10.4018/978-1-7998-5077-9.ch0xx
- O. S. S. V. Sindhu and P. Victer Paul, "Computer Vision Model for Traffic Sign Recognition and Detection—A Survey", A. Kumar and S. Mozar (eds.), Lecture Notes in Electrical Engineering (LNEE), Vol. 500, Springer Nature, Singapore, 2018, pp. 679-691. ISBN 978-981-13-0211-4. [Scopus Indexed]
Activities
Invited Talks (last 2 Years):
- Delivered Expert Talk on "Genetic Algorithm Optimizer - Research Perspective" in 5-day Workshop at Indian Institute of Information Technology Kottayam on 25-05-2023
- Delivered Expert Talk on "Data Analytics and Research Opportunities" at Pondicherry Central University on 20 October 2022
- Delivered Expert Talk on "Research Publication Types and Literature Survey" in the SERB - Accelerate Vigyan sponsored Workshop at Indian Institute of Information Technology Kottayam, July 2022
Future Plan
- Coming Soon...
Data Analytics and Business Decisions Research Group
Copyright © 2023 All Rights Reserved.
Indian Institute Of Information Technology Kottayam