Applied Machine Learning for Smart Data Analysis: 1st Edition (Hardback) book cover

Applied Machine Learning for Smart Data Analysis

1st Edition

Edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan

CRC Press

320 pages | 105 B/W Illus.

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Hardback: 9781138339798
pub: 2019-05-13
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Description

The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environment have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and sentimental analysis of reviews. Divided into sections as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.

Key Features

Follows an algorithmic approach for data analysis in machine learning

Introduces machine learning methods in applications

Address the emerging issues in computing like deep learning, machine learning, internet of things and data analytics

Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets

Case studies are covered relating to the human health, transportation and internet applications

Table of Contents

Machine Learning

1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context

2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression

3. Deep Learning for HealthCare Information’s

4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation

5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning - Hybrid Plagiarism Model)

Machine Learning in Data Mining

6. Digital image processing using Wavelets Basic principles and application

7. Placements Probability Predictor Using Data Mining Techniques

8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach

9. Topic specific Natural Language Chatbot as General Advisor for College

Machine Learning in IoT

10. Implementing Ubiquitous Environment In Museum

11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades

12. Traffic Zone Warning and Violation Detection using Mobile Computing

Machine Learning in security

13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques

14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach

15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate Reviews

Index

About the Editors

Nilanjan Dey received his Ph. D. Degree from Jadavpur University, India, in 2015. He is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is the associated Member of University of Reading, London, UK and Scientific Member of - Politécnica of Porto. His research topic is Medical Imaging, Data mining, Machine learning, Computer Aided Diagnosis, Atherosclerosis etc. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IGI Global), US, (Co-EinC) and International Journal of Natural Computing Research (IGI Global) (Co-EinC), US. Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving, CRC Press and Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He has 20 books and more than 250 research articles in peer-reviewed journals and international conferences. He is the organizing committee member of several international conferences including ITITS, W4C, ICMIR, FICTA, ICICT etc.

Prof. Sanjeev Wagh, working as Professor in Department of Information Technology at Govt. College of Engineering, Karad. He has completed his BE(1996), ME(2000) & PhD(2008) in Computer Science & Engineering from Govt. College of Engineering, Pune & Nanded. He was full time Post Doctorate fellow at Center for TeleInfrastructure, Aalborg University, Denmark during 2013-14. He has also completed MBA from NIBM (2015), Chennai. His research interest areas are Natural Science Computing, Internet technologies & Wireless Sensor networks. He has 71 research papers to his credit, published in International /National Journals & conferences. Currently 5 research scholars are pursuing PhD under his supervision in various Universities. He is fellow member of ISTE, IETE, ACM & CSI. He is editor for 4 International Journal in Engineering & Technology.

Dr. Parikshit N. Mahalle has obtained his B.E degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India and M.E. degree in Computer Engineering from Savitribai Phule Pune University, Pune, India. He completed his Ph. D in Computer Science and Engineering specialization in Wireless Communication from Aalborg University, Aalborg, Denmark. He has more than 16 years of teaching and research experience.

He has been a member board of studies in computer engineering, Savitribai Phule Pune University (SPPU), Pune, India. He has been a member – Board of studies in computer engineering, SPPU. He is member – BoS coordination committee in computer engineering, SPPU. He is also serving as member- Technical committee, SPPU. He is IEEE member, ACM member, Life member CSI and Life member ISTE. He is :Reviewer for Springer journal of Wireless Personal Communications, Reviewer for Elsevier journal of Applied Computing and Informatics, Member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence (IJACI), Member-Editorial Review Board for Journal of Global Research in Computer Science, Reviewer for IGI Global – International Journal of Rough Sets and Data Analysis (IJRSDA), Associate Editor for IGI Global - International Journal of Synthetic Emotions (IJSE), Inderscience International Journal of Grid and Utility Computing (IJGUC). He has also remained technical program committee member for International conferences and symposium like IEEE ICC – 2014, IEEE ICACCI 2013, IEEE ICC 2015 – SAC-Communication for Smart Grid, IEEE ICC 2015 – SAC-Social Networking, IEEE ICC 2014 – Selected Areas in Communication Symposium, IEEE INDICON 2014, CSI ACC 2014, IEEE GCWSN 2014, GWS 2015, GLOBECOMM 2015, ICCUBEA 2015, ICCUBEA 2016 He has published 56 research publications at national and international journals and conferences with 177 citations. He has authored 8 books on subjects like: Identity Management for Internet of Things, River Publishers, Identity Management Framework for Internet of Things, Aalborg University Press, Data Structures and Algorithms – Ceengage Publications, Theory of Computations, Gigatech Publications, Fundamentals of Programming Languages – I, Gigatech Publications, Fundamentals of Programming Languages – II, Gigatech Publications, Design and Analysis of Algorithms: A Problem Solving Approach, (In Process) – Cambridge University Press

He is also the recipient of "Best Faculty Award" by STES and Cognizant Technologies Solutions. He has also delivered invited talk on "Identity Management in IoT" to Symantec Research Lab, Mountain View, California. Currently he is working as Professor and Head in Department of Computer Engineering at STES’s Smt. Kashibai Navale College of Engineering, Pune, India. He has guided more than 100 plus undergraduate students and 20 plus post-graduate students for projects. His recent research interests include Algorithms, Internet of Things, Identity Management and Security. He has visited few countries like: Denmark, Sweden, Germany, Austria, Norway, China, Switzerland

Dr. Mohd Shafi Pathan

He is working as Professor in Smt. Kashibai Navale College of Engineering, Pune. Completed Ph.D.(CSE) from JNTU Anantapur, India. He has Completed University funded research project on "Public key cryptography for Cross-Realm Authentication in Kerberos" he has worked as resource person for workshop and seminar. He is reviewer many national and international journal and conferences. He has worked as Head-Publicity Committee for International Conference on "Global ICT standardization forum for India. He has worked as organising secretary for International conference on "International Conference on "Internet of Things, Next Generation Networks and Cloud Computing 2016" held at SKNCOE, Pune on 26th to 28th February 2016 and 2017. He was guest editor for Special Issue of ICINC 2016 by IGI Global International journal of Rough data sets and Analytics. He has authored four books and one chapter in springer book. He has published more than 40 research article in national and international journal. He is life member of ISTE and CSI

About the Series

Computational Intelligence in Engineering Problem Solving

Computational Intelligence (CI) can be framed as a heterogeneous domain that harmonized and coordinated several technologies, such asprobabilistic reasoning, artificial life, multi-agent systems, neuro-computing, fuzzy systems, and evolutionary algorithms. Integrating several isciplines, such as Machine Learning (ML), Artificial Intelligence (AI), Decision Support Systems (DSS), and Database Management Systems (DBMS) increases the CI power and impact in several engineering applications. This book series provides a well-standing forum to discuss the characteristics of CI systems in engineering. It emphasizes on the development of CI techniques and their role as well as the state-of-the- art solutions in different real world engineering applications. The book series is proposed for researchers, academics, scientists, engineers and professionals who are nvolved in the new techniques of CI. CI techniques including artificial fuzzy logic and neural networks are presented for biomedical image processing, power systems, and reactor applications.

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Subject Categories

BISAC Subject Codes/Headings:
COM021030
COMPUTERS / Database Management / Data Mining
COM037000
COMPUTERS / Machine Theory
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General