Overview
- Provides clear information about need of data science
- Emphasizes use context in developing context-aware data science solutions
- Discusses various technologies, methodologies, and approaches
Part of the book series: Studies in Big Data (SBD, volume 94)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Gitanjali R. Shinde has overall 12 years of experience and is presently working as SPPU-approved Assistant Professor in the Department of Computer Engineering, Smt. Kashibai Navale College of Engineering, Pune-41. She has done Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark, on Research Problem Statement “Cluster Framework for Internet of People, Things and Services”―Ph.D. awarded on May 8, 2018. She obtained M.E. (Computer Engineering) degree from University of Pune, Pune, in 2012 and B.E. (Computer Engineering) degree from University of Pune, Pune, in 2006. She has received research funding for project “lightweight group authentication for IoT” by SPPU, Pune. She has presented research article in World Wireless Research Forum (WWRF) meeting, Beijing, China. She has published 50+ papers in national and international conferences and journals. She is an author of 5+ books with publisher like Springer Nature and CRC Taylor & Francis Group. She is also Editor of books with De Gruyter and Springer Nature Press. She is Reviewer of prominent journal IGI publication and IEEE Transactions.
Dr. Priya Dudhale Pise has 16 years of experience. She has done her Ph.D. in Cloud Computing and Big Data Security from JJTU, Rajasthan, with tittle “Sensitive Data Sharing Securely in Big Data for Privacy Preservation on Recent Operating Systems”―Ph.D. awarded on November 25, 2018. She has pursued her B.E. in Information Technology from MIT Kothrud (SPPU) and Master’s degree M.E. in Computer Engineering from MIT Alandi (SPPU) in 2012. She won “Best Technical Paper Award” for 2 national and 1 international conferences. She has bagged “Backbone of Indian Technical Academics” in December 2018. She is an author of a book on “Fundamentals of Data Structures.” She also has published one national and one international patent on her name. She recently has presented her research article in ACM International Conference held in University of Cambridge, London, UK. She has presented 50+ papers in national and international conferences and journals. She is an editorial member of one of the renowned journal.
Ms. Jyoti Yogesh Deshmukh has overall 11 years of experience and is presently working as SPPU-approved Assistant Professor in the Department of Computer Engineering, JSPM’s Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune-412207. She is pursuing her Ph.D. in Cloud Computing and Data Security from JJTU, Rajasthan, on Research Problem Statement “Message Privacy with LoadBalancing Using Attribute-Based Encryption.” She obtained M.E. (Computer Engineering) degree from University of Pune, Pune, in 2015 and B.E. (Information Technology) degree from STES’s Smt. Kashibai Navale College of Engineering, Pune-41, in 2006. She has published 10+ papers in national and international conferences and journals.
Bibliographic Information
Book Title: Foundations of Data Science for Engineering Problem Solving
Authors: Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-981-16-5160-1
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-5159-5Published: 22 August 2021
Softcover ISBN: 978-981-16-5162-5Published: 23 August 2022
eBook ISBN: 978-981-16-5160-1Published: 21 August 2021
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XIV, 117
Number of Illustrations: 8 b/w illustrations, 50 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Computer Science, general, Data Engineering, Optimization