Studies in Big Data
4 primary works
Book 94
Foundations of Data Science for Engineering Problem Solving
by Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Jeevan Pise, and Jyoti Yogesh Deshmukh
Book 100
Quality of Work-Life During Pandemic
by Gitanjali Rahul Shinde, Soumi Majumder, Haribhau R. Bhapkar, and Parikshit N. Mahalle
This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
Book 104
Information Retrieval and Natural Language Processing
by Sheetal S. Sonawane, Parikshit N. Mahalle, and Archana S. Ghotkar
This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory.
This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.
Book 107