Jaikumar M. Patil

@ssgmce.ac.in

Associate Professor, HOD, CSE
SSGMCE Shegaon

https://researchid.co/jaimpatil

EDUCATION

Ph . D Computer Science and Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Science Applications, Computer Science

Scopus Publications

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach

An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach
P. William, Jaikumar M. Patil, Sunita Panda, Anita Venugopal, Pellakuri Vidyullatha, Nellore Manoj Kumar, and Aman Jandwani
Springer Science and Business Media LLC

Studies on the Use of Various Noise Strategies for Perturbing Data in Privacy-Preserving Data Mining

A Novel Approach to Fake News Detection Using Generative AI

Analytical Review on Various Aspects of Educational Data Mining and Learning Analytics
Jaikumar M. Patil and S. R. Gupta
IEEE
Over the last decade, there is a tremendous increase in online learning. The use of electronic devices has paved a path for creating a learning gateway beginning from lower classes to higher class alltogther i.e. from preschool to postgraduate level. These mechnisms are being used enormously to improve the quality of education. The online mode of education has also provided researchers with mechanism to collect data and analyze learning patterns which would to path breaking results in ananlyzing the learning habits of a child and help us provide him with personlized inputs for the best results. The educators and management would also be benifitted from the result of analytics. Everyone around the globe is willing to adopt the EDM and LA to frame strategic policies and understand student behaviours. The Educational Data Mining and Learning Analytics helps us look for the new patterns in data and helps us predict the instructional systems. The implementation of EDM and LA is largely helped by advancement in the last decade in e-learning implementations in education and training as well as of research and development work in areas such as educational data mining, web analytics and statistics. The analytical requirement would be implemented various data mining and visualization tools. Learning analytics is an emergent field of research that is growing fast.

Recommendation system for carpooling and regular taxicab services
Rohini B. Jadhao and J. M. Patil
IEEE
We proposed and developed a taxi-sharing system that accepts taxi passengers' real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get repayment if their travel time is long or extended due to ride sharing; taxi drivers will make money for all the long way around distance due to ride sharing. While such a system is of important social and environmental benefit, e.g., saving energy consumption and satisfying people's commute, real-time taxi-sharing has not been well studied yet. To this end, we plan a mobile-cloud architecture based taxi-sharing system. Taxi riders and taxi drivers use the taxi-sharing service provided by the system via a smart phone App. The Cloud first finds candidate taxis quickly for a taxi ride request using a taxi searching algorithm supported by as patio-temporal index. A scheduling process is then performed in the cloud to select a taxi that satisfies the request with minimum increase in travel distance. We built an experimental platform using the GPS trajectories generated by over 33,000 taxis over a period of three months. A ride request generator is developed (available at http://cs.uic.edu/_sma/ridesharing) in terms of the stochastic Process modeling real ride requests learned from the data set. Tested on this platform with extensive experiments, our proposed system established its efficiency, effectiveness and scalability. For example, when the ratio of the number of ride requests to the number of taxis is 6, our proposed system serves three times as many taxi riders as that when no ridesharing is performed while saving 11 percent in total travel distance and 7 percent taxi fare per rider.

A brief review on sentiment analysis
Neha Raghuvanshi and J.M. Patil
IEEE
This paper presents a brief review on sentiment analysis. To mine the opinion on the web, it is essential to perform a well defined task, which helps us to retrieve the information from the available data on the web. We have started our discussion with the introduction on sentiment analysis, which gives us a insight into sentiment analysis. The detail discussion on various methods proposed by different researchers is also presented. Different types of sentiment analysis techniques give a research direction in different directions. Finally a method is proposed based on the naïve Bayes classifier.

Community based recommendation system based on products
Priyanka A. Nandagawali and Jaikumar M. Patil
IEEE
The spread of technology through internet is increasing day by day. With the increasing technology, use of the recommendation systems is coming into force. The recommendation systems solve many problems of customers by providing them recommendation based on their choice of products. Many of the collaborative filtering algorithms have been used for this purpose. This paper provides a solution for the various recommender systems by using collaborative filtering algorithms with the community based user domain model. The main purpose is to satisfy the customer's product needs by providing them recommendation based on products.

RECENT SCHOLAR PUBLICATIONS

An optimized framework for implementation of smart waste collection and management system in smart cities using IoT based deep learning approach
P William, JM Patil, S Panda, A Venugopal, P Vidyullatha, NM Kumar, ...
International Journal of Information Technology, 1-8 2024

Evaluation of Student Performance in Educational Data Mining Using Hybrid Deep Learning Technique
DSRG Jaikumar M. Patil
International Journal of NeuroQuantology, ISSN 1303-5150, DOI: 10.48047/nq 2022

DeepEDM: Deep Learning Based Education Data Mining for Academic Student Performance Evaluation Model
DSRG Jaikumar M. Patil
International Journal of Computer Integrated Manufacturing Systems, CIMS 2022

Machine Learning-Based Prediction of Big Mart Sales
JM Patil
Journal of Information and Computational Science UGC-CARE Group-II Certified 2022

MLEDM: Hybrid Machine Learning Approach using Real Time Data Processing for Educational Data Mining
DSRG Jaikumar M. Patil
Proceedings of the 3rd International Conference on Contents, Computing, and 2022

A Methodology for Implementing Algorithms Over Data from Student Performance Evaluation Using Machine Learning Algorithms
DSRG Jaikumar M. Patil
IN Patent 41,297 2022

Literature Review: Educational Data Mining and Learning Analytics
JM Patil
International Conference on EMERGING TRENDS IN INTELLIGENT COMPUTING (ICETIC’21) 2021

Extracting Knowledge in Large Synthetic Datasets Using Educational Data Mining and Machine Learning Models
DSRG Jaikumar M. Patil
International Conference on Soft Computing for Intelligent Systems ICSICS 2021

Analytical review on various aspects of educational data mining and learning analytics
JM Patil, SR Gupta
2019 international conference on innovative trends and advances in 2019

Recommendation system for carpooling and regular taxicab services
RB Jadhao, JM Patil
2017 International Conference on Inventive Systems and Control (ICISC), 1-8 2017

A brief review on sentiment analysis
N Raghuvanshi, JM Patil
2016 International conference on electrical, electronics, and optimization 2016

Community based recommendation system based on products
PA Nandagawali, JM Patil
2014 International Conference on Power, Automation and Communication (INPAC 2014

Implementation, Management and Analysis of User Groups of GSM database
JM Patil, R Patel
International Journal of Engineering Science and Technology, Special issue 2011

Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach
AH Harkare, AP Nilawar, RA Fadnavis, ARB Patil, JM Patil, U Patil

An Efficient Approach Formulation of Social Groups of User Calls of GSM
JM Patil, R Patel

MOST CITED SCHOLAR PUBLICATIONS

A brief review on sentiment analysis
N Raghuvanshi, JM Patil
2016 International conference on electrical, electronics, and optimization 2016
Citations: 28

Recommendation system for carpooling and regular taxicab services
RB Jadhao, JM Patil
2017 International Conference on Inventive Systems and Control (ICISC), 1-8 2017
Citations: 8

Community based recommendation system based on products
PA Nandagawali, JM Patil
2014 International Conference on Power, Automation and Communication (INPAC 2014
Citations: 6

Analytical review on various aspects of educational data mining and learning analytics
JM Patil, SR Gupta
2019 international conference on innovative trends and advances in 2019
Citations: 3

Implementation, Management and Analysis of User Groups of GSM database
JM Patil, R Patel
International Journal of Engineering Science and Technology, Special issue 2011
Citations: 1