Computational Intelligence for Data Analysis
Deepak Gupta

Computational Intelligence for Data Analysis

Introduction

The prime objective of this series “Computational Intelligence for Data Analysis” (CIDA) is to publish high quality books, edited volumes and conference proceedings that contribute to the areas related to computational intelligence.

This book series focuses on methods and tools for computational intelligence for data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on.






About the Series

About Series - Computational Intelligence for Data Analysis

ABOUT THE SERIES

The prime objective of this series “Computational Intelligence for Data Analysis” (CIDA) is to publish high quality books, edited volumes and conference proceedings that contribute to the areas related to computational intelligence.

This book series focuses on methods and tools for computational intelligence for data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on.

The series motivates to gather researchers, scientists and practitioners interested in computational data analysis methods, aimed at narrowing the gap between extensive amounts of data stored in medical databases and the interpretation, understandable and effective use of the stored data.

TITLES IN THE SERIES

Topics of interest cover all advancements in the area of computational intelligence for data analysis. This series will consider unpublished, original and novel ideas including Monographs, Edited Books, Text Books, Workshop, Symposia and Conference Proceedings. Few of the core areas but not limited to the following tracks:

  1. Computational intelligence in engineering and biomedical sciences
  2. Behavioral, Environmental, and Public Health Informatics
  3. Biological Network Modeling and Analysis
  4. Knowledge discovery and decision support systems
  5. Artificial intelligence in engineering and medical education
  6. Information Retrieval
  7. Intelligent engineering and medical information systems
  8. Data inference, mining, and trend analysis
  9. Mobile Health and Sensor Networks
  10. Predictive Modeling and Analytics in Engineering and Healthcare
  11. Nature-Inspired, Fuzzy Systems and Neural Networks in engineering and biomedical education
  12. Integration of intelligent data analysis techniques within engineering and biomedical information systems

Information for authors:

Prospective authors and/or book editors can directly write to the Series Editor (myself.deepakgupta@gmail.com). He will provide you the information about the publication.

He will also provide you the information about in-progress editorial projects in which the inclusion of additional contributors is possible.

How to begin:

If you are interested in contributing your book, please submit your one-page proposal with suitable title along with your CV and list of publications to the series editor at myself.deepakgupta@gmail.com with cc to the Bentham Books at: books@benthamscience.net.