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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 Entropy Analysis of Questionable Text Sources by Example of the Voynich Manuscript
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    Chapter 2 Decision Tree: Customer Churn Analysis for a Loyalty Program Using Data Mining Algorithm
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    Chapter 3 Improving e-Commerce Severity Rating Measurement Using Consistent Fuzzy Preference Relation
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    Chapter 4 A Case Study of Customers’ Payment Behaviour Analytics on Paying Electricity with RFM Analysis and K-Means
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    Chapter 5 Amniotic Fluid Segmentation by Pixel Classification in B-Mode Ultrasound Image for Computer Assisted Diagnosis
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    Chapter 6 Machine Learning Assisted Medical Diagnosis for Segmentation of Follicle in Ovary Ultrasound
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    Chapter 7 Malaysian Budget Visualization Using Circle Packing
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    Chapter 8 An Overview of Visualization Techniques: A Survey of Food-Related Research
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    Chapter 9 A Hybrid TSR and LSTM for Forecasting NO 2 and SO 2 in Surabaya
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    Chapter 10 Evaluation of Pooling Layers in Convolutional Neural Network for Script Recognition
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    Chapter 11 Predictive Model of Graduate-On-Time Using Machine Learning Algorithms
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    Chapter 12 New Hybrid Statistical Method and Machine Learning for PM 10 Prediction
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    Chapter 13 B-Spline in the Cox Regression with Application to Cervical Cancer
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    Chapter 14 Multilevel Logistic Regression and Neural Network-Genetic Algorithm for Modeling Internet Access
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    Chapter 15 A Case Study on Student Attrition Prediction in Higher Education Using Data Mining Techniques
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    Chapter 16 The Use of Hybrid Information Retrieve Technique and Bayesian Relevance Feedback Classification on Clinical Dataset
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    Chapter 17 An Experience Report on Building a Big Data Analytics Framework Using Cloudera CDH and RapidMiner Radoop with a Cluster of Commodity Computers
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    Chapter 18 Multi-stage Clustering Algorithm for Energy Optimization in Wireless Sensor Networks
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    Chapter 19 Case Based Reasoning for Diagnosing Types of Mental Disorders and Their Treatments
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    Chapter 20 Study of Score Fusion and Quality Weighting in the Bio-Secure DS2 Database
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    Chapter 21 Arabic Phonemes Recognition Using Convolutional Neural Network
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    Chapter 22 Forecasting the Search Trend of Muslim Clothing in Indonesia on Google Trends Data Using ARIMAX and Neural Network
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    Chapter 23 Convolutional Neural Network Application in Smart Farming
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    Chapter 24 Comparison of Artificial Neural Network (ANN) and Other Imputation Methods in Estimating Missing Rainfall Data at Kuantan Station
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    Chapter 25 Anonymized User Linkage Under Differential Privacy
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    Chapter 26 Context Enrichment Model Based Framework for Sentiment Analysis
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    Chapter 27 2019 Thai General Election: A Twitter Analysis
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    Chapter 28 Science Lab Repository Requirements Elicitation Based on Text Analytics
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    Chapter 29 A Gillespie Algorithm and Upper Bound of Infection Mean on Finite Network
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    Chapter 30 Sentiment Analysis in Social Media Based on English Language Multilingual Processing Using Three Different Analysis Techniques
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Title
Soft Computing in Data Science
Published by
Springer Singapore, December 2019
DOI 10.1007/978-981-15-0399-3
ISBNs
978-9-81-150398-6, 978-9-81-150399-3
Editors

Berry, Michael W., Yap, Bee Wah, Mohamed, Azlinah, Köppen, Mario

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