Applied Machine Learning for Smart Data Analysis

by Randy Moore in , on March 10, 2020
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Book Description

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments 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 thorough analysis of reviews. Divided into sections such 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 such as 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 human health, transportation and Internet applications


Section I Machine Learning

1. Hindi and Urdu to English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context
2. Anti-Depression Psychotherapist Chatbot for Exam and Study-Related Stress
3. Plagiasil: A Plagiarism Detector Based on MAS Scalable Framework for Research Effort Evaluation by

Section II Machine Learning in Data Mining

4. Digital Image Processing Using Wavelets: Basic Principles and Application
5. Probability Predictor Using Data-Mining Techniques
6. Big Data Summarization Using Modified Fuzzy Clustering Algorithm, Semantic Feature, and Data Compression Approac
7. Topic-Specific Natural Language Chatbot as General Advisor for College

Section III Machine Learning in IoT

8. Implementation of Machine Learning in the Education Sector: Analyzing the Causes behind Average Student Grades
9. Priority-Based Message-Forwarding Scheme in VANET with Intelligent Navigation

Section IV Machine Learning in Security

10. A Comparative Analysis and Discussion of Email Spam Classification Methods Using Machine Learning Techniques
11. Malware Prevention and Detection System for Smartphone:A Machine Learning Approach

Book Details

  • Title: Applied Machine Learning for Smart Data Analysis
  • Length: 245 pages
  • Edition: 1
  • Language: English
  • Publisher: CRC Press
  • Publication Date: 2019-06-05
  • ISBN-10: 1138339792
  • ISBN-13: 9781138339798
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  • Released

    March 10, 2020

  • Last Updated

    March 10, 2020

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