Computational Intelligence and Big Data Analytics

1. Front Matter

   Pages i-viii

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2. A Novel Level-Based DNA Security Algorithm Using DNA Codons

   • Bharathi Devi Patnala, R. Kiran Kumar

   Pages 1-13

3. Cognitive State Classifiers for Identifying Brain Activities

   • B. Rakesh, T. Kavitha, K. Lalitha, K. Thejaswi, Naresh Babu Muppalaneni

   Pages 15-20

4. 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

5. Neighborhood Algorithm for Product Recommendation

   • P. Dhana Lakshmi, K. Ramani, B. Eswara Reddy

   Pages 37-53

6. A Quantitative Analysis of Histogram Equalization-Based Methods on Fundus Images for Diabetic Retinopathy Detection

   • K. G. Suma, V. Saravana Kumar

   Pages 55-63

7. Nanoinformatics: Predicting Toxicity Using Computational Modeling

   • Bhavna Saini, Sumit Srivastava

   Pages 65-73

8. Stock Market Prediction Based on Machine Learning Approaches

   • V. Lalithendra Nadh, G. Syam Prasad

   Pages 75-79

9. Performance Analysis of Denoising of ECG Signals in Time and Frequency Domain

   • CH. Hima Bindu

   Pages 81-95

10. Design and Implementation of Modified Sparse K-Means Clustering Method for Gene Selection of T2DM

    • Kumba Vijayalakshmi, M. Padmavathamma

    Pages 97-106

11. 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

12. Data Mining Efficiency and Scalability for Smarter Internet of Things

    • M. Mahendra, C. Kishore, Ch. Prathima

    Pages 119-125

13. FGANN: A Hybrid Approach for Medical Diagnosing

    • P. Aruna Kumari, G. Jaya Suma

    Pages 127-137

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.

• Data Mining
• Machine Learning
• Nanoinformatics
• Neural Networks
• Human-centric Computing
• Information Processing
• Biomedical Informatics
• Denoising of ECG Signals
• Chest Diseases
• Particle Swarm Optimization
• Diabetic Retinopathy Detection
• DNA Security

• Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada, India

  Ch. Satyanarayana

• Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, India

  Kunjam Nageswara Rao

• College of Information Technology, Baker College, Flint, USA

  Richard G. Bush

Dr. Ch. Satyanarayana is currently working as Professor and Director Academic and Planning in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, AP, INDIA. He received his PhD in 2007 from JNTU. He has 18 years of teaching experience. He has published 100+ research papers in reputed International Journals. Under his supervision 18 doctoral students awarded PhD.  He is a Senior Member of IEEE, and his research interests include Image Processing, Speech Recognition, Pattern Recognition, Network Security and Big data analytics and Computational Intelligence.

Dr. Kunjam Nageswara Rao is currently an Associate Professor at the Department of Computer Science & Systems Engineering at Andhra University College of Engineering, Andhra University, Visakhapatnam, AP, India, and he obtained his Ph.D. in Computer Science & Systems Engineering from the same university. His research interests include cloud computing, wireless networks, sensor networks, Internet of Things (IoT), medical image processing, network security, data mining, bio-informatics, algorithms & data analytics.

Dr. Richard Bush is the Dean, College of Information Technology at Baker College of Michigan. He was the Executive Director, eLearning Services at Lawrence Technological University and Director, Learning Resources and Technology at Eastern Michigan University. He has over 35 years’ experience in the information technology industry including in government, academic, military, manufacturing, and retail positions. Dr. Bush earned his Ph.D. in Applied Management and Decision Sciences specializing in Information Systems Management from Walden University. His research interests are focused on the acceptance and use of emerging technologies by end users, and the trends and impact of the connected world on individuals and groups.

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