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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 A Hybrid Singular Spectrum Analysis and Neural Networks for Forecasting Inflow and Outflow Currency of Bank Indonesia
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    Chapter 2 Scalable Single-Source Shortest Path Algorithms on Distributed Memory Systems
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    Chapter 3 Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data
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    Chapter 4 VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting
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    Chapter 5 Feature and Architecture Selection on Deep Feedforward Network for Roll Motion Time Series Prediction
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    Chapter 6 Acoustic Surveillance Intrusion Detection with Linear Predictive Coding and Random Forest
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    Chapter 7 Timing-of-Delivery Prediction Model to Visualize Delivery Trends for Pos Laju Malaysia by Machine Learning Techniques
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    Chapter 8 Cervical Nuclei Segmentation in Whole Slide Histopathology Images Using Convolution Neural Network
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    Chapter 9 Performance of SVM and ANFIS for Classification of Malaria Parasite and Its Life-Cycle-Stages in Blood Smear
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    Chapter 10 Digital Image Quality Evaluation for Spatial Domain Text Steganography
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    Chapter 11 Exploratory Analysis of MNIST Handwritten Digit for Machine Learning Modelling
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    Chapter 12 Improved Conditional Value-at-Risk (CVaR) Based Method for Diversified Bond Portfolio Optimization
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    Chapter 13 Ranking by Fuzzy Weak Autocatalytic Set
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    Chapter 14 Fortified Offspring Fuzzy Neural Networks Algorithm
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    Chapter 15 Forecasting Value at Risk of Foreign Exchange Rate by Integrating Geometric Brownian Motion
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    Chapter 16 Fog of Search Resolver for Minimum Remaining Values Strategic Colouring of Graph
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    Chapter 17 Incremental Software Development Model for Solving Exam Scheduling Problems
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    Chapter 18 Visualization of Frequently Changed Patterns Based on the Behaviour of Dung Beetles
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    Chapter 19 Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students’ Performance
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    Chapter 20 Opinion Mining for Skin Care Products on Twitter
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    Chapter 21 Tweet Hybrid Recommendation Based on Latent Dirichlet Allocation
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    Chapter 22 Assessing Structured Examination Question Using Automated Keyword Expansion Approach
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    Chapter 23 Improving Topical Social Media Sentiment Analysis by Correcting Unknown Words Automatically
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    Chapter 24 Big Data Security in the Web-Based Cloud Storage System Using 3D-AES Block Cipher Cryptography Algorithm
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    Chapter 25 An Empirical Study of Classifier Behavior in Rattle Tool
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    Chapter 26 Clutter-Reduction Technique of Parallel Coordinates Plot for Photovoltaic Solar Data
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    Chapter 27 Data Visualization of Violent Crime Hotspots in Malaysia
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    Chapter 28 Malaysia Election Data Visualization Using Hexagon Tile Grid Map
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    Chapter 29 A Computerized Tool Based on Cellular Automata and Modified Game of Life for Urban Growth Region Analysis
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    Chapter 30 Staff Employment Platform (StEP) Using Job Profiling Analytics
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Title
Soft Computing in Data Science
Published by
Springer Singapore, January 2019
DOI 10.1007/978-981-13-3441-2
ISBNs
978-9-81-133440-5, 978-9-81-133441-2
Editors

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

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