Machine learning and data science : (Record no. 92393)

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005 - DATE AND TIME OF LATEST TRANSACTION
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006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119775614
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119776499
Qualifying information electronic book
-- oBook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 111977649X
Qualifying information electronic book
-- oBook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119775614
Qualifying information print
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119776499
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1340048284
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .M33 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
245 00 - TITLE STATEMENT
Title Machine learning and data science :
Remainder of title fundamentals and applications /
Statement of responsibility, etc edited by Prateek Agrawal, Charu Gupta, Anand Sharma, Vishu Madaan and Nisheeth Joshi.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc Wiley :
-- Beverly, MA :
-- Scrivener Publishing,
Date of publication, distribution, etc 2022.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
490 1# - SERIES STATEMENT
Series statement Advances in data engineering and machine learning.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 ## - CONTENTS
Formatted contents note Table of Contents<br/>Preface xiii<br/><br/>Book Description xv<br/><br/>1 Machine Learning: An Introduction to Reinforcement Learning 1<br/>Sheikh Amir Fayaz, Dr. S Jahangeer Sidiq, Dr. Majid Zaman and Dr. Muheet Ahmed Butt<br/><br/>1.1 Introduction 2<br/><br/>1.2 Reinforcement Learning Paradigm: Characteristics 11<br/><br/>1.3 Reinforcement Learning Problem 12<br/><br/>1.4 Applications of Reinforcement Learning 15<br/><br/>2 Data Analysis Using Machine Learning: An Experimental Study on UFC 23<br/>Prashant Varshney, Charu Gupta, Palak Girdhar, Anand Mohan, Prateek Agrawal and Vishu Madaan<br/><br/>2.1 Introduction 23<br/><br/>2.2 Proposed Methodology 25<br/><br/>2.3 Experimental Evaluation and Visualization 31<br/><br/>2.4 Conclusion 44<br/><br/>3 Dawn of Big Data with Hadoop and Machine Learning 47<br/>Balraj Singh and Harsh Kumar Verma<br/><br/>3.1 Introduction 48<br/><br/>3.2 Big Data 48<br/><br/>3.3 Machine Learning 53<br/><br/>3.4 Hadoop 55<br/><br/>3.5 Studies Representing Applications of Machine Learning Techniques with Hadoop 57<br/><br/>3.6 Conclusion 61<br/><br/>4 Industry 4.0: Smart Manufacturing in Industries -- The Future 67<br/>Dr. K. Bhavana Raj<br/><br/>4.1 Introduction 67<br/><br/>5 COVID-19 Curve Exploration Using Time Series Data for India 75<br/>Apeksha Rustagi, Divyata, Deepali Virmani, Ashok Kumar, Charu Gupta, Prateek Agrawal and Vishu Madaan<br/><br/>5.1 Introduction 76<br/><br/>5.2 Materials Methods 77<br/><br/>5.3 Concl usion and Future Work 86<br/><br/>6 A Case Study on Cluster Based Application Mapping Method for Power Optimization in 2D NoC 89<br/>Aravindhan Alagarsamy and Sundarakannan Mahilmaran<br/><br/>6.1 Introduction 90<br/><br/>6.2 Concept Graph Theory and NOC 91<br/><br/>6.3 Related Work 94<br/><br/>6.4 Proposed Methodology 97<br/><br/>6.5 Experimental Results and Discussion 100<br/><br/>6.6 Conclusion 105<br/><br/>7 Healthcare Case Study: COVID-19 Detection, Prevention Measures, and Prediction Using Machine Learning & Deep Learning Algorithms 109<br/>Devesh Kumar Srivastava, Mansi Chouhan and Amit Kumar Sharma<br/><br/>7.1 Introduction 110<br/><br/>7.2 Literature Review 111<br/><br/>7.3 Coronavirus (Covid19) 112<br/><br/>7.4 Proposed Working Model 118<br/><br/>7.5 Experimental Evaluation 130<br/><br/>7.6 Conclusion and Future Work 132<br/><br/>8 Analysis and Impact of Climatic Conditions on COVID-19 Using Machine Learning 135<br/>Prasenjit Das, Shaily Jain, Shankar Shambhu and Chetan Sharma<br/><br/>8.1 Introduction 136<br/><br/>8.2 COVID-19 138<br/><br/>8.3 Experimental Setup 141<br/><br/>8.4 Proposed Methodology 142<br/><br/>8.5 Results Discussion 143<br/><br/>8.6 Conclusion and Future Work 143<br/><br/>9 Application of Hadoop in Data Science 147<br/>Balraj Singh and Harsh K. Verma<br/><br/>9.1 Introduction 148<br/><br/>9.2 Hadoop Distributed Processing 153<br/><br/>9.3 Using Hadoop with Data Science 160<br/><br/>9.4 Conclusion 164<br/><br/>10 Networking Technologies and Challenges for Green IOT Applications in Urban Climate 169<br/>Saikat Samanta, Achyuth Sarkar and Aditi Sharma<br/><br/>10.1 Introduction 170<br/><br/>10.2 Background 170<br/><br/>10.3 Green Internet of Things 173<br/><br/>10.4 Different Energy--Efficient Implementation of Green IOT 177<br/><br/>10.5 Recycling Principal for Green IOT 178<br/><br/>10.6 Green IOT Architecture of Urban Climate 179<br/><br/>10.7 Challenges of Green IOT in Urban Climate 181<br/><br/>10.8 Discussion & Future Research Directions 181<br/><br/>10.9 Conclusion 182<br/><br/>11 Analysis of Human Activity Recognition Algorithms Using Trimmed Video Datasets 185<br/>Disha G. Deotale, Madhushi Verma, P. Suresh, Divya Srivastava, Manish Kumar and Sunil Kumar Jangir<br/><br/>11.1 Introduction 186<br/><br/>11.2 Contributions in the Field of Activity Recognition from Video Sequences 190<br/><br/>11.3 Conclusion 212<br/><br/>12 Solving Direction Sense Based Reasoning Problems Using Natural Language Processing 215<br/>Vishu Madaan, Komal Sood, Prateek Agrawal, Ashok Kumar, Charu Gupta, Anand Sharma and Awadhesh Kumar Shukla<br/><br/>12.1 Introduction 216<br/><br/>12.2 Methodology 217<br/><br/>12.3 Description of Position 222<br/><br/>12.4 Results and Discussion 224<br/><br/>12.5 Graphical User Interface 225<br/><br/>13 Drowsiness Detection Using Digital Image Processing 231<br/>G. Ramesh Babu, Chinthagada Naveen Kumar and Maradana Harish<br/><br/>13.1 Introduction 231<br/><br/>13.2 Literature Review 232<br/><br/>13.3 Proposed System 233<br/><br/>13.4 The Dataset 234<br/><br/>13.5 Working Principle 235<br/><br/>13.6 Convolutional Neural Networks 239<br/><br/>13.6.1 CNN Design for Decisive State of the Eye 239<br/><br/>13.7 Performance Evaluation 240<br/><br/>13.8 Conclusion 242<br/><br/>References 242<br/><br/>Index 245
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>Prateek Agrawal, PhD, completed his BTech in computer science engineering from Uttar Pradesh Technical University, Lucknow, India and MTech from ABV-IIITM, Gwalior, India. He also received his PhD from IKG-Punjab Technical University, Punjab, India. He has more than ten years of research and teaching experience. He has worked as a post-doctoral researcher at the department of ITEC, University of Klagenfurt, Austria and also serves as an associate professor in the school of computer science engineering, Lovely Professional University, India. He has authored more than 50 research papers in various peer reviewed journals and conferences. He is a life member of IET research society. He is a reviewer and editorial member of many journals of high repute. He also served as technical program committee member of many international conferences.<br/><br/>Charu Gupta, PhD, graduated with her BE and MTech in computer science and engineering, with honors. She completed her doctoral degree at the Department of Computer Science, Banasthali Vidyapith, Rajasthan, India. Presently serving as assistant professor at Bhagwan Parshuram Institute of Technology, she has over 10 years of teaching experience. She is a faculty coordinator (Delhi Section) of Free and Open Source Cell (FOSS cell) from the International Centre for Free and Open Source Software (ICFOSS), Govt. of Kerala, India. She is also the faculty co-ordinator of the e-Yantra Lab setup initiative (eLSI) in collaboration with IIT Bombay in the Department of Computer Science and Engineering, BPIT. She also has numerous papers in scientific and scholarly journals to her credit.<br/><br/>Vishu Madaan, PhD, received her BTech and MTech degrees in computer science engineering from Lovely Professional University, Phagwara, India and earned her PhD in computer science from IKG-Punjab Technical University, Punjab. She is an assistant professor with Lovely Professional University and has more than eight years of teaching and research experience. She has authored more than 30 research articles in peer-reviewed conferences and journals. She is also a member of IEEE and is a reviewer for many international conferences and technical journals.<br/><br/>Anand Sharma, PhD, received his PhD in engineering from MUST, Lakshmangarh, his MTech from ABV-IIITM, Gwalior and BE from RGPV, Bhopal. He has been working with Mody University of Science and Technology, Lakshmangarh for over 10 years and has more than 14 years of experience of teaching and research. He has pioneered research in the areas of information systems, information security, IoT, knowledge management and machine learning. He is the Vice-Chairman of CSI-Lakshmangarh Chapter and Student Branch Coordinator of CSI-MUST, student branch. He has authored or edited five books and has more than 70 papers in scientific and scholarly journals and conferences. He has organized more than 15 conferences, seminars, and workshops and is serving on the editorial boards of several journals as and is on the program committees of several international conferences.<br/><br/>Nisheeth Joshi, PhD, is an associate professor at Banasthali Vidyapith, India. He did his PhD in the area of natural language processing and is the recipient of the prestigious ISTE-U.P. Government National Award for Outstanding Work Done in Specified Areas of Engineering and Technology. He has authored several papers in scientific and technical journals and conferences. He has also been a mentor and consultant to various start-ups working in the areas of cognitive computing, natural language processing, speech processing, multimodal information retrieval and machine translation. He was also a consultant to C-DAC Pune where he developed the evaluation methodology for the Mantra Machine Translation System. This Machine Translation System is being used by Rajya Sabha, the Upper House of Parliament of India and Department of Official Languages, with the Government of India. In addition, he has two technology transfers and four copyrights to his credit.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
Authority record control number http://id.loc.gov/authorities/subjects/sh85079324.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Authority record control number http://id.loc.gov/authorities/subjects/sh97002073.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Agrawal, Prateek,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gupta, Charu
Fuller form of name (Charu N.),
Authority record control number http://id.loc.gov/authorities/names/n2019181095
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sharma, Anand,
Authority record control number http://id.loc.gov/authorities/names/n2007210741
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Madaan, Vishu,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Joshi, Nisheeth,
Relator term editor.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in data engineering and machine learning.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119776499
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-09-02 ALBASA Consortium 006.31 M1843 2022 2025-09-02 2025-09-02 EBOOK