Santosh Ramkrishna Durugkar

Santosh Durugkar has pursued Ph.D in Software engineering from Amity University Rajasthan Jaipur. He has completed U.G. (B.E.) and P.G. (M.E.) from SPPU, Pune. His area of interests are software engineering, Machine Learning, Artificial Intelligence, Database Management, Data Analysis, Data Mining & Information Retrieval.

Publications

Comparing Big Data Analysis Techniques
Comparing Big Data Analysis Techniques
Santosh Ramkrishna Durugkar. © 2024. 24 pages.
Big data refers to the large volume of data which can be processed to get the relevant, required, and meaningful data within less time. It is required to apply sophisticated...
Future Expectations About Big Data Analytics
Future Expectations About Big Data Analytics
Santosh Ramkrishna Durugkar. © 2024. 15 pages.
There is no future without big data as users, applications are continuously increasing and processed information expected to use in Healthcare, e-Commerce, Aviation, Education...
Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services
Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services
Santosh Ramkrishna Durugkar. © 2024. 29 pages.
New age technologies like machine learning, artificial intelligence, and deep learning are playing a crucial role in many applications. The chapter focuses on development...
Implications of Being Ethnocentric
Implications of Being Ethnocentric
Santosh Ramkrishna Durugkar. © 2023. 15 pages.
Ethnocentric behavior has assumptions about cultural differences, lifestyle, other demographical factors, etc. People are ethnocentric, and based on assumptions, one can design a...
Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision
Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision
Santosh Ramkrishna Durugkar. © 2023. 19 pages.
Sentiments can be expressed in a variety of ways like angry, happy, sad, surprised, etc. Recent machine learning (ML) algorithms classify sentiments and assist customers in their...