Data Science (eBook, ePUB)

Theory, Analysis and Applications
Redaktion: Memon, Qurban A; Khoja, Shakeel Ahmed

• Format: ePub

Produktbeschreibung

The book provides 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 will report novel research work on challenging topics in the area surrounding data science.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 343
• Erscheinungstermin: 26. September 2019
• Englisch
• ISBN-13: 9780429558825
• Artikelnr.: 57806883

Autorenporträt

Qurban A Memon has contributed at levels of teaching, research, and community service in the area of electrical and computer engineering. He has authored/co-authored ninety seven publications over a period of about eighteen years of his academic career. Shakeel Khoja is a Professor at Faculty of Computer Science, IBA and a Commonwealth Academic Fellow. He carries an overall professional experience of over 18 years and has over fifty research publications to his credit. He is also a reviewer of number of journals and conferences in the field of computer science.

Inhaltsangabe

Preface. Editors. Contributors. Framework for Visualization of GeoSpatial
Query Processing by Integrating MongoDB with Spark. A Study on
Meta-heuristic based Neural Networks for Image Segmentation Purposes. Study
and Analysis of a Feature Subset Selection Technique using Penguin Search
Optimization Algorithm. A Physical Design Strategy on a NoSQL DBMS.
Large-Scale Distributed Stream Data Collection Schemes. Big Data Analysis
and Management in Healthcare. Healthcare Analytics: A Case Study Approach
using the Framingham Heart Study. Bioinformatics Analysis of Dysfunctional
(mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome.
Discrimination of Healthy Skin, Superficial Epidermal Burns and
Full-thickness Burns from 2D-Coloured Images Using Machine Learning. A
Study and Analysis of an Emotion Classification and State Transition System
in Brain Computer Interfacing. Comparison of Gradient and Textural Features
for Writer Retrieval in Handwritten Documents. A Supervised Guest
Satisfaction Classification with Reviews Text and Ratings. Sentiment
Analysis for Decision Making Using Machine Learning Algorithms. Deep
Learning Model: Emotion Recognition from Continuous Action Video. Index