Data Science and Its Applications

1. Auflage 2021
ISBN: 978-0-367-60886-6
Verlag: Chapman and Hall/CRC

Buch, Englisch, 378 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 908 g

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others.

The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications.

The salient features of the book are:

- Overview, Challenges and Opportunities in Data Science and Real Time Applications

- Addressing Big Data Issues

- Useful Machine Learning Methods

- Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning

- Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis

- Data Optimization

Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.

Zielgruppe

Academic, Postgraduate, and Professional

Autoren/Hrsg.

Sharaff, Aakanksha

Sinha, G R

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Chapter 1 Introduction to Data Science: Review, Challenges and Opportunities
Chapter 2 Recommender Systems: Challenges and Opportunities in the Age of Big Data and Artificial Intelligence
Chapter 3 Machine Learning for Data Science Applications
Chapter 4 Classification and Detection of Citrus Diseases using Deep Learning
Chapter 5 Credibility Assessment of Healthcare Related Social Media Data
Chapter 6 Filtering and Spectral Analysis of Time Series Data: A Signal Processing Perspective and Illustrative Application to Stock Market Index Movement Forecasting
Chapter 7 Data Science in Education
Chapter 8 Spectral characteristics and behavioral analysis of deep brain stimulation by the nature-inspired algorithm
Chapter 9 Visual Question Answering system using integrated models of image captioning and BERT
Chapter 10 Deep Neural Networks for Recommender Systems
Chapter 11 Application of Data Science in Supply Chain Management: Real-world Case Study in Logistics
Chapter 12 A CaseStudy on Disease Diagnosis using Gene Expression Data Classification with Feature Selection : Application of Data Science Techniques in Healthcare
Chapter 13 Case Studies in Data Optimization using Python
Chapter 14 Deep Parallel-Embedded BioNER Model for Biomedical Entity Extraction
Chapter 15 Predict the Crime Rate against Women using Machine Learning Classification Techniques
Chapter 16 Page Rank Based Extractive Text Summarization
Chapter 17 Scene Text Analysis

Über Autor(innen)

Dr. Aakanksha Sharaff is working as a Faculty in Department of Computer Science & Engineering at National Institute of Technology Raipur Chhattisgarh India since July 2012. She has been actively involved in research activities leading to Data Science research and related areas. She holds Doctor of Philosophy in Computer Science & Engineering from National Institute of Technology Raipur (An Institute of National Importance) in 2017; Master of Technology from National Institute of Technology Rourkela (An Institute of National Importance) with Honours in 2012; and Bachelor of Engineering from Government Engineering College Bilaspur Chhattisgarh with Honours in 2010. She has received gold medal during her graduation and post-graduation. Till date she pursuits for excellence and various academic success including the Top Student in Post-Graduation Master of Technology (2012), Bachelor of Engineering (2010) and throughout her schooling. She has received the gold medal for being the Top Student in Higher Secondary School Certificate Examination (2006) and High School Certificate Examination (2004). She has completed all her degrees and schooling with HONOURS (Distinction) and studied from reputed national institutions. She has achieved various merit certifications including All India Talent Search Examination during her schooling.
She is the Vice Chair of Raipur Chapter of Computer Society of India and Secretary of IEEE Newsletter of Bombay Section. She is actively involved in various academic and research activities. She has received Young Women in Engineering Award for the contribution in the field of Computer Science and Engineering in 3rd Annual Women’s Meet AWM 2018 by Centre for Advanced Research and Design of Venus International Foundation. She has Best Paper Award for several research papers. She contributes in various conferences as Session Chairs, Invited/Keynote Speakers and has published good number of research papers in reputed International Journals and Conferences. She is contributing as active technical reviewer of leading International journals of IEEE, Springer, IGI and Elsevier etc. Dr. Sharaff has supervised many undergraduate and postgraduate projects. Currently she is guiding four research scholars for Ph.D. She has visited Singapore and Bangkok, Thailand for professional as well as personal reasons. Her research areas focus mainly on Data Science, Text Analytics, Sentiment Analysis, Information Retrieval, Soft Computing, Artificial Intelligence, Machine and Deep Learning. She is editing one more book on “New Opportunities for Sentiment Analysis and Information Processing” with IGI Publisher.

G R Sinha is Adjunct Professor at International Institute of Information Technology Bangalore (IIITB) and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) with Gold Medal from National Institute of Technology Raipur, India. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU) Bhilai, India. He is Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo for one year 2019-2020. He has published 254 research papers, book chapters and books at International and National level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 05 Edited books with IOP, Elsevier, Springer. He is active reviewer and editorial member of more than 12 Reputed International Journals of IEEE, IOP, Springer, Elsevier etc. He has teaching and research experience of 21 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2016-2019); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards and recognitions like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher in Technical Education by ISTE New Delhi, Emerging Chhattisgarh Award 2013, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, ISCA Young Scientist Award 2006 Nomination and Deshbandhu Merit Scholarship for 05 years. He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is Senior Member of IEEE, Fellow of Institute of Engineers India and Fellow of IETE India.
He has delivered more than 50 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world. His Special Session on “Deep Learning in Biometrics” was included in IEEE International Conference on Image Processing 2017. He is also member of many National Professional bodies like ISTE, CSI, ISCA, and IEI. He is member of various committees of the University and has been Vice President of Computer Society of India for Bhilai Chapter for two consecutive years. He is Consultant of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme and several other schemes of Govt. of India. He received few important consultancy supports as grants and travel support. Dr Sinha has Supervised Eight (08) PhD Scholars, 15 M. Tech. Scholars and has been Supervising 01 more PhD Scholar. His research interest includes Biometrics, Cognitive Science, Medical Image Processing, Computer Vision, Outcome based Education (OBE) and ICT tools for developing Employability Skills.