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Recent Advances on Soft Computing and Data Mining

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Cover of 'Recent Advances on Soft Computing and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Cluster Validation Analysis on Attribute Relative of Soft-Set Theory
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    Chapter 2 Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm
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    Chapter 3 Optimization of ANFIS Using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs
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    Chapter 4 Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series
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    Chapter 5 A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
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    Chapter 6 Formation Control Optimization for Odor Localization
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    Chapter 7 A New Search Direction for Broyden’s Family Method in Solving Unconstrained Optimization Problems
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    Chapter 8 Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task
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    Chapter 9 Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model
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    Chapter 10 A Study of Data Imputation Using Fuzzy C-Means with Particle Swarm Optimization
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    Chapter 11 Utilizing Clonal Selection Theory Inspired Algorithms and K-Means Clustering for Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption
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    Chapter 12 One-Way ANOVA Model with Fuzzy Data for Consumer Demand
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    Chapter 13 Chicken S-BP: An Efficient Chicken Swarm Based Back-Propagation Algorithm
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    Chapter 14 A Review on Violence Video Classification Using Convolutional Neural Networks
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    Chapter 15 Modified Backpropagation Algorithm for Polycystic Ovary Syndrome Detection Based on Ultrasound Images
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    Chapter 16 An Implementation of Local Regression Smoothing on Evolving Fuzzy Algorithm for Planting Calendar Forecasting Based on Rainfall
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    Chapter 17 Chebyshev Multilayer Perceptron Neural Network with Levenberg Marquardt-Back Propagation Learning for Classification Tasks
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    Chapter 18 Computing the Metric Dimension of Hypercube Graphs by Particle Swarm Optimization Algorithms
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    Chapter 19 Non-linear Based Fuzzy Random Regression for Independent Variable Selection
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    Chapter 20 Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback
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    Chapter 21 Training ANFIS Using Catfish-Particle Swarm Optimization for Classification
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    Chapter 22 FCA-ARMM: A Model for Mining Association Rules from Formal Concept Analysis
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    Chapter 23 ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository
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    Chapter 24 Integration of Self-adaptation Approach on Requirements Modeling
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    Chapter 25 Detection of Redundancy in CFG-Based Test Cases Using Entropy
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    Chapter 26 Variety of Approaches in Self-adaptation Requirements: A Case Study
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    Chapter 27 Dynamic Trackback Strategy for Email-Born Phishing Using Maximum Dependency Algorithm (MDA)
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    Chapter 28 A Case Based Methodology for Problem Solving Aiming at Knee Osteoarthritis Detection
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    Chapter 29 Preliminary Study for the Implementation of Electrical Capacitance Volume Tomography (ECVT) to Display Fruit Content
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    Chapter 30 Dependency Scheme for Revise and Reasoning Solution
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    Chapter 31 A New Binary Similarity Measure Based on Integration of the Strengths of Existing Measures: Application to Software Clustering
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    Chapter 32 A Comparative Study of Linear and Nonlinear Regression Models for Outlier Detection
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    Chapter 33 Clustering Based on Classification Quality (CCQ)
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    Chapter 34 A Framework of Clustering Based on Chicken Swarm Optimization
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    Chapter 35 Histogram Thresholding for Automatic Color Segmentation Based on k-means Clustering
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    Chapter 36 Does Number of Clusters Effect the Purity and Entropy of Clustering?
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    Chapter 37 Text Detection in Low Resolution Scene Images Using Convolutional Neural Network
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    Chapter 38 Handling Imbalanced Data in Churn Prediction Using RUSBoost and Feature Selection (Case Study: PT.Telekomunikasi Indonesia Regional 7)
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    Chapter 39 Extended Local Mean-Based Nonparametric Classifier for Cervical Cancer Screening
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    Chapter 40 Adaptive Weight in Combining Color and Texture Feature in Content Based Image Retrieval
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    Chapter 41 WordNet Gloss for Semantic Concept Relatedness
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    Chapter 42 Difference Expansion-Based Data Hiding Method by Changing Expansion Media
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    Chapter 43 A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning
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    Chapter 44 An Association Rule Mining Approach in Predicting Flood Areas
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    Chapter 45 The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
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    Chapter 46 A New Mobile Malware Classification for SMS Exploitation
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    Chapter 47 Data Mining Techniques for Classification of Childhood Obesity Among Year 6 School Children
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    Chapter 48 Multiple Criteria Preference Relation by Dominance Relations in Soft Set Theory
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    Chapter 49 Reduce Scanning Time Incremental Algorithm (RSTIA) of Association Rules
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    Chapter 50 A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic
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    Chapter 51 The Algorithm Expansion for Starting Point Determination Using Clustering Algorithm Method with Fuzzy C-Means
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    Chapter 52 On Mining Association Rules of Real-Valued Items Using Fuzzy Soft Set
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    Chapter 53 Application of Wavelet De-noising Filters in Mammogram Images Classification Using Fuzzy Soft Set
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    Chapter 54 Design Selection of In-UVAT Using MATLAB Fuzzy Logic Toolbox
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    Chapter 55 A Web Based Peer-to-Peer RFID Architecture
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    Chapter 56 Performance-Aware Trust-Based Access Control for Protecting Sensitive Attributes
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    Chapter 57 E-Code Checker Application
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    Chapter 58 Factors Influencing the Use of Social Media in Adult Learning Experience
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    Chapter 59 A Framework to Analyze Quality of Service (QoS) for Text-To-Speech (TTS) Services
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    Chapter 60 Indoor Navigation Using A* Algorithm
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    Chapter 61 Mining Significant Association Rules from on Information and System Quality of Indonesian E-Government Dataset
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    Chapter 62 A Feature Selection Algorithm for Anomaly Detection in Grid Environment Using k-fold Cross Validation Technique
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    Chapter 63 Soft Set Approach for Clustering Graduated Dataset
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    Chapter 64 An Application of Rough Set Theory for Clustering Performance Expectancy of Indonesian e-Government Dataset
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    Chapter 65 Erratum to: Text Detection in Low Resolution Scene Images Using Convolutional Neural Network
Overall attention for this book and its chapters
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Title
Recent Advances on Soft Computing and Data Mining
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-51281-5
ISBNs
978-3-31-951279-2, 978-3-31-951281-5
Editors

Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris

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X Demographics

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 18%
Student > Master 9 14%
Student > Ph. D. Student 7 11%
Lecturer 4 6%
Other 4 6%
Other 7 11%
Unknown 22 34%
Readers by discipline Count As %
Computer Science 18 28%
Engineering 10 15%
Business, Management and Accounting 4 6%
Sports and Recreations 2 3%
Medicine and Dentistry 2 3%
Other 4 6%
Unknown 25 38%

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