Data Science Theory Analysis and Applications 1st Edition by Qurban A Memon 0429558825 9780429558825

Data Science: Theory, Analysis and Applications 1st Edition by Qurban A Memon – Ebook PDF Instant Download/DeliveryISBN:  0429558825, 9780429558825 

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Product details:

ISBN-10 :  0429558825 

ISBN-13 :  9780429558825

Author:  Qurban A Memon 

The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.

Data Science: Theory, Analysis and Applications 1st table of contents:

Part I Data Science: Theory, Concepts, and Algorithms
Chapter 1 Framework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark
Chapter 2 A Study on Metaheuristic-Based Neural Networks for Image Segmentation Purposes
Chapter 3 A Study and Analysis of a Feature Subset Selection Technique Using Penguin Search Optimization Algorithm
Chapter 4 A Physical Design Strategy on a NoSQL DBMS
Chapter 5 Large-Scale Distributed Stream Data Collection Schemes
Part II Data Design and Analysis
Chapter 6 Big Data Analysis and Management in Healthcare
Chapter 7 Healthcare Analytics: A Case Study Approach Using the Framingham Heart Study
Chapter 8 Bioinformatics Analysis of Dysfunctional (Mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome
Chapter 9 Discrimination of Healthy Skin, Superficial Epidermal Burns, and Full-Thickness Burns from 2D-Colored Images Using Machine Learning
Chapter 10 A Study and Analysis of an Emotion Classification and State-Transition System in Brain Computer Interfacing
Part III Applications and New Trends in Data Science
Chapter 11 Comparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents
Chapter 12 A Supervised Guest Satisfaction Classification with Review Text and Ratings
Chapter 13 Sentiment Analysis for Decision-Making Using Machine Learning Algorithms
Chapter 14 Deep Learning Model: Emotion Recognition from Continuous Action Video

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