Computational Intelligence and Big Data Analytics: Applications in Bioinformatics

✍ Scribed by Ch. Satyanarayana, Kunjam Nageswara Rao, Richard G. Bush

Publisher: Springer Singapore
Year: 2019
Tongue: English
Leaves: 139
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

✦ Table of Contents

Front Matter ....Pages i-viii
A Novel Level-Based DNA Security Algorithm Using DNA Codons (Bharathi Devi Patnala, R. Kiran Kumar)....Pages 1-13
Cognitive State Classifiers for Identifying Brain Activities (B. Rakesh, T. Kavitha, K. Lalitha, K. Thejaswi, Naresh Babu Muppalaneni)....Pages 15-20
Multiple DG Placement and Sizing in Radial Distribution System Using Genetic Algorithm and Particle Swarm Optimization (M. S. Sujatha, V. Roja, T. Nageswara Prasad)....Pages 21-36
Neighborhood Algorithm for Product Recommendation (P. Dhana Lakshmi, K. Ramani, B. Eswara Reddy)....Pages 37-53
A Quantitative Analysis of Histogram Equalization-Based Methods on Fundus Images for Diabetic Retinopathy Detection (K. G. Suma, V. Saravana Kumar)....Pages 55-63
Nanoinformatics: Predicting Toxicity Using Computational Modeling (Bhavna Saini, Sumit Srivastava)....Pages 65-73
Stock Market Prediction Based on Machine Learning Approaches (V. Lalithendra Nadh, G. Syam Prasad)....Pages 75-79
Performance Analysis of Denoising of ECG Signals in Time and Frequency Domain (CH. Hima Bindu)....Pages 81-95
Design and Implementation of Modified Sparse K-Means Clustering Method for Gene Selection of T2DM (Kumba Vijayalakshmi, M. Padmavathamma)....Pages 97-106
Identifying Driver Potential in Passenger Genes Using Chemical Properties of Mutated and Surrounding Amino Acids (Jayanta Kumar Das, Richa Singh, Pabitra Pal Choudhury, Bidyut Roy)....Pages 107-118
Data Mining Efficiency and Scalability for Smarter Internet of Things (M. Mahendra, C. Kishore, Ch. Prathima)....Pages 119-125
FGANN: A Hybrid Approach for Medical Diagnosing (P. Aruna Kumari, G. Jaya Suma)....Pages 127-137

✦ Subjects

Engineering; Computational Intelligence; Big Data; Bioinformatics; Mathematical Models of Cognitive Processes and Neural Networks; Biomedical Engineering/Biotechnology; Information Systems Applications (incl.Internet)

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