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عنوان
Soft computing in data science :

پدید آورنده
Bee Wah Yap, Azlinah Hj Mohamed, Michael W. Berry (eds.).

موضوع
Data mining, Congresses.,Evolutionary computation, Congresses.,Human-computer interaction, Congresses.,Pattern recognition systems, Congresses.,Soft computing, Congresses.,Data mining.,Evolutionary computation.,Human-computer interaction.,Pattern recognition systems.,Soft computing.

رده
QA76
.
9
.
S63

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9789811334412
(Number (ISBN
9811334412
Erroneous ISBN
9789811334405
Erroneous ISBN
9811334404

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Soft computing in data science :
General Material Designation
[Book]
Other Title Information
4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings /
First Statement of Responsibility
Bee Wah Yap, Azlinah Hj Mohamed, Michael W. Berry (eds.).

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xviii, 404 pages) :
Other Physical Details
illustrations (some color)

SERIES

Series Title
Communications in computer and information science,
Volume Designation
937
ISSN of Series
1865-0929 ;

GENERAL NOTES

Text of Note
Includes author index.
Text of Note
International conference proceedings.

CONTENTS NOTE

Text of Note
Intro; Preface; Organization; Contents; Machine and Deep Learning; A Hybrid Singular Spectrum Analysis and Neural Networks for Forecasting Inflow and Outflow Currency of Bank Indonesia; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 ARIMAX; 2.2 Singular Spectrum Analysis (SSA); 2.3 Neural Networks; 2.4 Hybrid Singular Spectrum Analysis and Neural Network; 2.5 Model Evaluation; 3 Results; 3.1 Simulation Study; 3.2 Inflow and Outflow Data; 3.3 Forecasting Inflow and Outflow Data Using ARIMAX; 3.4 Forecasting Inflow and Outflow Data Using SSA-NN; 4 Conclusion; Acknowledgements
Text of Note
2.1 Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF)2.2 The ARIMA Model; 2.3 Artificial Neural Network; 2.4 Deep Feedforward Network; 3 Dataset and Methodology; 3.1 Dataset; 3.2 Methodology; 4 PACF Based Deep Neural Network Implementation; 4.1 Preliminary Analysis; 4.2 Feature Selection; 4.3 Optimal Neural Architecture: Hyperparameters Tuning; 4.4 Test Set Prediction; 5 ARIMA Based Deep Neural Network; 5.1 Procedure Implementation; 6 Discussion and Future Works; Acknowledgements; References
Text of Note
2.1 Vector Autoregressive (VAR) Model2.2 Generalized Space Time Autoregressive (GSTAR) Model; 2.3 Support Vector Regression (SVR); 2.4 Model Selection; 3 Data and Method; 4 Empirical Results; 4.1 Descriptive Statistics; 4.2 VAR Modeling; 4.3 GSTAR Modeling; 4.4 Forecasting Using VAR-SVR and GSTAR-SVR Model; 5 Conclusion; Acknowledgement; References; Feature and Architecture Selection on Deep Feedforward Network for Roll Motion Time Series Prediction; Abstract; 1 Introduction; 2 Time Series Analysis: Concept and Methods
Text of Note
Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health DataAbstract; 1 Introduction; 2 Literature Review; 2.1 Least Square SVM for Survival Analysis; 2.2 Performance Measure; 3 Data Description and Methodology; 3.1 Data Description; 3.2 Methodology; 4 Empirical Results; 4.1 Simulation Study; 4.2 Application on Health Data; 5 Conclusion; Acknowledgement; References; VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting; Abstract; 1 Introduction; 2 Literature Review
0
8
8
8

SUMMARY OR ABSTRACT

Text of Note
This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing in Data Science, SCDS 2018, held in Bangkok, Thailand, in August 2018. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on machine and deep learning, image processing, financial and fuzzy mathematics, optimization algorithms, data and text analytics, data visualization.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811334412

OTHER EDITION IN ANOTHER MEDIUM

Title
Soft computing in data science.
International Standard Book Number
9789811334405

PARALLEL TITLE PROPER

Parallel Title
SCDS 2018

TOPICAL NAME USED AS SUBJECT

Data mining, Congresses.
Evolutionary computation, Congresses.
Human-computer interaction, Congresses.
Pattern recognition systems, Congresses.
Soft computing, Congresses.
Data mining.
Evolutionary computation.
Human-computer interaction.
Pattern recognition systems.
Soft computing.

(SUBJECT CATEGORY (Provisional

COM004000
UYQ
UYQ

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
S63

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Berry, Michael W.
Mohamed, Azlinah Hj.
Wah, Yap Bee

CORPORATE BODY NAME - PRIMARY RESPONSIBILITY

SCDS (Conference)(4th :2018 :, Bangkok, Thailand)

ORIGINATING SOURCE

Date of Transaction
20200823234407.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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