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Soft Computing in Data Science

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Cover of 'Soft Computing in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluation of Randomized Variable Translation Wavelet Neural Networks
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    Chapter 2 Road Lane Segmentation Using Deconvolutional Neural Network
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    Chapter 3 Rare Event Prediction Using Similarity Majority Under-Sampling Technique
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    Chapter 4 Pattern Recognition of Balinese Carving Motif Using Learning Vector Quantization (LVQ)
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    Chapter 5 Feature Extraction for Image Content Retrieval in Thai Traditional Painting with SIFT Algorithms
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    Chapter 6 Modeling of the Gaussian-Based Component Analysis on the Kernel Space to Extract Face Image
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    Chapter 7 Classification of Batik Kain Besurek Image Using Speed Up Robust Features (SURF) and Gray Level Co-occurrence Matrix (GLCM)
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    Chapter 8 Model Selection in Feedforward Neural Networks for Forecasting Inflow and Outflow in Indonesia
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    Chapter 9 The Selection Feature for Batik Motif Classification with Information Gain Value
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    Chapter 10 Eye Detection for Drowsy Driver Using Artificial Neural Network
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    Chapter 11 Time Series Machine Learning: Implementing ARIMA and Hybrid ARIMA-ANN for Electricity Forecasting Modeling
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    Chapter 12 A Design of a Reminiscence System for Tacit Knowledge Recall and Transfer
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    Chapter 13 Pattern Search Based on Particle Swarm Optimization Technique for Block Matching Motion Estimation Algorithm
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    Chapter 14 Enhancing Parallel Self-organizing Map on Heterogeneous System Architecture
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    Chapter 15 Geovisualization Using Hexagonal Tessellation for Spatiotemporal Earthquake Data Analysis in Indonesia
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    Chapter 16 Incremental Filtering Visualization of JobStreet Malaysia ICT Jobs
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    Chapter 17 Software Application for Analyzing Photovoltaic Module Panel Temperature in Relation to Climate Factors
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    Chapter 18 Budget Visual: Malaysia Budget Visualization
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    Chapter 19 Fuzzy Arithmetical Modeling of Pressurizer in a Nuclear Power Plant
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    Chapter 20 Nitrogen Fertilizer Recommender for Paddy Fields
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    Chapter 21 Ranking Performance of Modified Fuzzy TOPSIS Variants Based on Different Similarity Measures
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    Chapter 22 Prediction of New Bioactive Molecules of Chemical Compound Using Boosting Ensemble Methods
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    Chapter 23 Pragmatic Miner to Risk Analysis for Intrusion Detection (PMRA-ID)
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    Chapter 24 Intelligent System E-Learning Modeling According to Learning Styles and Level of Ability of Students
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    Chapter 25 Mining Textual Terms for Stock Market Prediction Analysis Using Financial News
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    Chapter 26 Content Quality of Latent Dirichlet Allocation Summaries Constituted Using Unique Significant Words
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Title
Soft Computing in Data Science
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-7242-0
ISBNs
978-9-81-107241-3, 978-9-81-107242-0
Editors

Azlinah Mohamed, Michael W. Berry, Bee Wah Yap

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Lecturer 1 17%
Student > Bachelor 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 50%
Unspecified 2 33%
Environmental Science 1 17%