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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
Attention for Chapter 20: Opinion Mining for Skin Care Products on Twitter
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Chapter title
Opinion Mining for Skin Care Products on Twitter
Chapter number 20
Book title
Soft Computing in Data Science
Published by
Springer, Singapore, December 2018
DOI 10.1007/978-981-13-3441-2_20
Book ISBNs
978-9-81-133440-5, 978-9-81-133441-2
Authors

Pakawan Pugsee, Vasinee Nussiri, Wansiri Kittirungruang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Student > Bachelor 3 18%
Unspecified 2 12%
Student > Master 2 12%
Researcher 2 12%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 9 53%
Unspecified 2 12%
Linguistics 1 6%
Mathematics 1 6%
Unknown 4 24%