عنوان

Nature inspired computing for data science /

(Number (ISBN

3030338207

(Number (ISBN

9783030338206

Erroneous ISBN

3030338193

Erroneous ISBN

9783030338190

Title Proper

Nature inspired computing for data science /

General Material Designation

[Book]

First Statement of Responsibility

Minakhi Rout, Jitendra Kumar Rout, Himansu Das, editors.

Place of Publication, Distribution, etc.

Cham :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2020.

Specific Material Designation and Extent of Item

1 online resource (xii, 295 pages) :

Other Physical Details

illustrations (some color)

Series Title

Studies in computational intelligence ;

Volume Designation

SCI v. 871

Text of Note

An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO based Optimized Neural Network -- Mid-term Home Health Care Planning Problem with Flexible Departing Way for Caregivers -- Performance Analysis of NASNet on Unconstrained Ear Recognition -- Optimization of performance parameter for Vehicular Ad-hoc NETwork (VANET) using Swarm Intelligence -- Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data -- Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in microgrids -- Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas -- a case study in San Miguelito, Honduras -- Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making -- Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-Objective Particle Swarm Optimization -- Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study -- An Evolutionary Algorithm based Hybrid Parallel Framework for Asia Foreign Exchange Rate prediction.

0

Text of Note

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Title

Nature inspired computing for data science.

International Standard Book Number

9783030338190

Natural computation.

Natural computation.

Number

Class number

Das, Himansu.

Rout, Jitendra Kumar.

Rout, Minakhi.

Date of Transaction

20200823094515.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y