Fuzzy Systems and Data Mining V
Proceedings of FSDM 2019
1st Edition
Published on 15. November 2019
1184 pages
978-1-64368-019-4 (ISBN)
Description
The Fuzzy Systems and Data Mining (FSDM) conference is an annual event encompassing four main themes: fuzzy theory, algorithms and systems, which includes topics like stability, foundations and control; fuzzy application, which covers different kinds of processing as well as hardware and architectures for big data and time series and has wide applicability; the interdisciplinary field of fuzzy logic and data mining, encompassing applications in electrical, industrial, chemical and engineering fields as well as management and environmental issues; and data mining, outlining new approaches to big data, massive data, scalable, parallel and distributed algorithms. The annual conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry.
This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks.
Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.
This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks.
Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
39,18 MB
ISBN-13
978-1-64368-019-4 (9781643680194)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Book
11/2019
1st Edition
IOS Press,US
€222.84
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Content
- Intro
- Title Page
- Preface
- Contents
- Part 1. Fuzzy Sets and Data Mining
- A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression
- Quantitative Assessments of Haze Research Based on Co-Citation Networks
- Semantic Recognition and Classification Method of Chinese Abstracts
- Fuzzy Probabilities of Fuzzy Events
- PPSNN: Prediction of Protein Structure with Neural Network
- Sentiment Classification Regarding the Negative Brand Affect of Enterprise Weibo Comments
- An Optimization Algorithm for Missing Value Imputation in Microarray Based on Integrated Information
- Technique for Annotation of Fuzzy Models: A Semantic Fuzzy Mining Approach
- Iterative Optimization of Orbital Dynamics Based on Model Prediction
- Detection of Outside Historical Routes for Radar Maritime Targets
- Improve-Center: A Deep Learning Face Representation Approach
- Research on Delay Prediction Compensation of Teleoperation Robot Network Control System
- User-Based Collaborative Filtering Using Fuzzy Clustering
- The Extension Principle for Probabilistic Linguistic Term Sets
- Principle Component Analysis Study of Coffee/Tea Nutrition
- Applying Machine Learning and AI on Self Automated Personalized Online Learning
- Object-Based Storage System Architecture Model
- Hypergraph Clustering by Generating Large Pure Hyperedges Using Greedy Neighborhood Search
- New Entropy on the Interval-Valued Neutrosophic Set
- Internet User Perception on Data Privacy Protection: Big Data Analytics on Twitter
- Fuzzy Control of Microwave Dryer for Drying Chinese Jujube
- FDG-SD: A New Hybrid Technique for Solving Subgroup Discovery Problem
- Automatic Demographic and Personality Extraction from Anonymous Social Media
- Propagation of Uncertainty Expressed in Intervals on the Confidence of Fuzzy Association Rules
- Computation of Virtual Training Samples and the Experiments on Face Recognition
- Classification-Based Data Mining Applied in Vehicle Accident Prediction
- A Rapid Hybrid Method for Powered Reentry Trajectory Planning with Uncertain No-Fly Zone Constraints
- Semantic Data Mining Based on Ranking in Internet-Enabled Information Systems
- Adaptive Fuzzy Sliding Mode-Based Steering Control of Agricultural Tracked Robot
- Speed Up the Process of Reinforcement Learning for Robot Grasping
- Feature Reduction Based on Modified Dominance Soft Set
- A Smart Weighted-Louvain Algorithm for Community Detection in Large-Scale Networks
- Physical Experimentation Using Waterjet for Animal Skin Incision
- On Axiomatic Characterizations of Positive-Negative Region Covering-Based Rough Sets
- Image Enhancement of Palm Veins Based on Adaptive Fusion and Gabor Filter
- Variational Autoencoders for Baseball Player Evaluation
- A Conflict Style Large Group Dynamic Emergency Decision-Making Method Based on Time Series
- Local Metropolis Move in Variable Dimension Model for Finance. A Bayesian Markov Chain Monte Carlo Approach
- The Degree of Arity &= n About M-Fuzzifying Convex Space
- Public Opinion Monitoring and Analysis System Based on Localization
- Learning Coefficients and Information Criteria
- Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm
- Facial Expression Recognition Based on PCA-SIFT and Fuzzy-Edge Detection
- Joint Scheduling of Tasks and VM Migrations with Multi-Objectives in SaaS Cloud
- Definitive Screen Design Optimization of Jeep Performance on Countryside Terrain with a Video Game Model
- Application of Clustering in Modeling User Preference for Leisure
- Possible Architecture and Some Neuro-Fuzzy Algorithms of an Intelligent Control System for Open Pit Mines Transport Facilities
- Comparing Neural and Regression Models to Predict NBA Team Records
- Idea Development from Consumers' Complaint Messages Using Data Mining
- Regret Decision-Making Based on Basic Probability Assignment Function
- Celebrity Influence on Traditional Festival Analysis Based on Social Network Data Mining
- Exploring the Big Pictorial Data for Tourists' Perception Analysis Through Three Deep Learning Models
- Incremental Collaborative Clustering Using Information Theory and Information Compression
- Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification with Face and Voice Features
- Bridge Apparent Damage Detection System Based on Deep Learning
- Bridge Moving Load Recognition Based on Deep Learning
- A Novel Chinese Character Recognition Method Based on Multi-Modal Fusion
- Iterative Solution of Multi-Shifted Linear Systems with Multiple Right-Hand Sides
- Applications of Financing Optimization Algorithms in Internet Financial System
- A Novel Framework for Anomaly Detection via Feature Selection and Dimensionality Reduction
- A Stock Decision Model Based on Optimized Neural Network Algorithm
- Generating Data to Alleviate Data Imbalance Problems in Machine Learning
- Road Crack Classification Based on Improved VGG Convolutional Neural Network
- Trajectory Tracking of Electrical Mobility Aids Using L2 Robust Controller Methods
- Research on Pavement Skid Resistance Performance Prediction Model Based on Big Data Analysis and XGBoost Algorithm
- Research on Management Decision Based on Machine Learning: Taking the Decision of Location Selection of a Pharmaceutical Retail Enterprise as an Example
- Multi-Factor Model Optimization Based on Machine Learning
- Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor
- Intelligent CFAR Detector Based on Histogram and Bagged CART
- Discovering Spatial Co-Location Patterns Under Considering the Distribution of Spatial Features
- A Multi-Objective Approach to Solve an Optimal Control Problem Applied to a Simplified Activated Sludge System Model
- Loss Function Optimization Based on Adversarial Networks
- An Approach for Conversion of Japanese Emoticons into Emoji Based on Character-Level Neural Autoencoder
- Active Learning of Predefined Models for Information Extraction: Selecting Regular Expressions from Examples
- Incremental Mining of Spatial Co-Location Patterns Based on the Fuzzy Neighborhood Relationship
- A Controller Design Based on Affine T-S Fuzzy Model via Coordinate Transformation
- Jumping Fuzzy General Finite Automata and Their Simplified Description
- Clustering Based on Covariance Matrix for Pollution Areas Identification in ERT Monitoring of Contaminated Sites
- Study on Asymmetric Deflection Control Scheme of SDR for Flying Wing Aircraft
- Student Modeling Using Convex Factorization Machines
- Fuzzy Logic Based Unsteady Aerodynamics Modeling and Analysis of Advanced Aircraft
- Interval Type-2 Fuzzy Control Using Distending Function
- An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation
- A Deep Learning Approach for Traffic Condition Prediction with Dependency Extraction and Transfer
- A Research on Solving Multi-Objective Service Selection Problem Based on Service Request Flow
- Research on Experimental Teaching of Virtual and Real Welding Technology and Engineering Specialty
- A Novel Borehole Video Expansion and Mosaic Algorithm for Un-Aligned Hole and Camera Centers
- Predicting Chronic Diseases Based on Split and Merge Method and Streaming Feature Causal Structure Learning Algorithm
- Discussion on the Application of Virtual Experiment Technology in Experimental Teaching in University
- Operating Performance Assessment for Smart Electric Meter Based on Improved Evidence Theory
- Part 2. Communications and Networks
- Comparison of Accuracy Estimation for Weighted k-Nearest Neighbor Classifiers
- Video Content Features Based Fast Intra Prediction Algorithm on HEVC
- Technical Architecture and Security Design of Ex-Post Supervision Systems of Commercial Banks
- Cooperative Navigation and Positioning for Multi-AUVs Considering the Effect of Ocean Current
- The Waveform Generator and Monitor Based on FPGA&DSP for the Pulsed Power Supply
- Multi-Obstacle Tracking Algorithm Based on Depth Image of Lidar
- An On-Line Self-Routing Scheme for Bio-Inspired Self-Repairing Hardware
- The Existence and Constructions of DSMDS and LSMDS Matrix on Ring Z/(2m)
- Consideration of Some Aspects of Designing with the Digital to Analogue Converter
- Convex Programming for Nonideal Antenna Array Synthesis Based on Interval Analysis
- Research on a Security Chip Power-Down Test Method Based on MP300 Device
- Relative Wireless Positioning for Multiple Client Devices Using Delta Triangulation
- Experimental Analysis of Creep Performance of Rubber Conveyor Belt
- A Novel Secondary User Selection-Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks
- Indoor RadioFrequency Signal Propagation and Attenuation Prediction Hybrid Modelling and Wireless Local Area Network Case Study Simulation
- Dynamic Magnetic Resonance Image Reconstruction Based on Rosette Sampling and Tensor Singular Value Decomposition
- An Information Security Management Approach for an Electoral Process in Ecuador
- Methodology to Ensure Information Security in a Distributed Architecture for a Public Organization of Ecuador
- Design of Multiple-Valued Logic Unit by Using R-HBT-NDR-Based Memristor
- Low Complexity SLM Method Based on Threshold Classification for PAPR Reduction in OFDM Systems
- Cognitive CAPTCHA Based on Perceptual Abilities
- Time Sensitive Network Fault Detection and Location Method Based on Segment Routing
- Design of Network Slicing System Based on SDN/NFV
- Energy Consumption Balancing Algorithms on Optimizing Dynamic Topology in Wsns
- An Outlier Detection Algorithm Based on Differential Privacy
- RFID Localization Based on Optimized Path Loss Propagation Model
- Authentication and Key Distribution Scheme for Two-Tiered IoT Based on PUF
- A Fast-Settling Fractional-N PLL with Presetting Frequency and Dynamic Bandwidth Control
- Design of a Novel Fractional Order Sliding Mode Controller for Hypersonic Vehicle Attitude Control
- Research on Radar Pulse Flow Signal Formation Algorithm Based on Hash Algorithm
- Orthogonal Low Rank Tucker Decomposition for 2D+3D Facial Expression Recognition
- Security Technologies to Improve Risk Management Against Natural or Anthropic Disasters in Ecuador
- A Feature Point Matching Algorithm Based on Space Geometrical Characteristics
- Evolution of the Internet Architecture, from Network Model to Internet Brain Model
- Analysis and Comparison of Multi-Source Information Fusion Technologies
- Prediction of High Frequency Trading Financial Data Using Stacked LSTMs for Algorithmic Trading
- Design and Analysis of a Multiple-Valued Hysteretic Characteristic Unit Based on RTD
- The Environment Quality Evaluation and Prediction Algorithm Based on WSN
- Bayesian Belief Networks-Based Fault-Alarm Assessment in Communication Networks
- Spatial Colocation Pattern Mining with the Maximum Membership Threshold
- The Application of the Dijkstra Algorithm in the Tourist Route Planning
- An Improved Unbounded HIBE Scheme in the Prime Order Setting
- Infrared Dim and Small Target Detection Based on Spatio-Temporal Spectral Saliency
- Comparison on Two Methods for Ground Target Bearing Estimation Based on the Theory of Acoustic Vector Sensor
- Combining Clustering and SVR for Predicting Passengers of Regional Airports on Limited Sample
- A Hybrid Blockchain System Based on Parallel Distributed Architecture for Central Bank Digital Currency
- Simplified DST Matrix-Based RD Cost Estimation Model and Hardware Architecture in Video Coding
- Subject Index
- Author Index
