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Big Data: 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings.

Bibliographic Details
Authors and Corporations: Xu, Zongben., Gao, Xinbo., Miao, Qiguang., Zhang, Yunquan., Bu, Jiajun.
Other Authors: Gao, Xinbo. , Miao, Qiguang. , Zhang, Yunquan. , Bu, Jiajun.
Type of Resource: E-Book
Language: English
published:
Singapore : Springer Singapore Pte. Limited, 2018.
©2018.
Series: Communications in Computer and Information Science Ser.
Subjects:
Source: Ebook Central
ISBN: 9789811329227
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • Natural Language Processing and Text Mining
  • A Method to Chinese-Vietnamese Bilingual Metallurgy Term Extraction Based on a Pivot Language
  • 1 Introduction
  • 2 Chinese-Vietnamese Bilingual Metallurgy Term Extraction Based on English Pivot
  • 2.1 Chinese-English, English-Vietnamese Bilingual Metallurgical Text Acquisition
  • 2.2 Chinese Metallurgy Term Extraction Based on Conditional Random Field
  • 2.3 Chinese-Vietnamese Bilingual Phrase Table Generation Based on English Pivot
  • 2.4 Chinese-Vietnamese Bilingual Phrase Filter
  • 3 Experiment and Analysis
  • 3.1 Experimental Data
  • 3.2 Evaluation Index
  • 3.3 Experimental Results and Analysis
  • 4 Conclusion
  • References
  • Big Data Analytics and Smart Computing
  • Preprocessing and Feature Extraction Methods for Microfinance Overdue Data
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 3 Data Preprocessing and Feature Extraction
  • 3.1 Sparseness of High-Dimensional Data
  • 3.2 Feature Extraction
  • 3.3 Data Normalization
  • 3.4 Set Labels
  • 3.5 Feature Importance Analysis
  • 4 Experiment and Analysis
  • 4.1 Preparations
  • 4.2 Evaluation Index
  • 4.3 Comparison to Existing Approaches
  • 4.4 Analysis
  • 5 Conclusion
  • Acknowledgment
  • Appendix A
  • Appendix B
  • References
  • The Influence of Online Community Interaction on Individual User Behavior
  • Abstract
  • 1 Introduction
  • 2 Theoretical Research and Hypothesis
  • 3 The Approach
  • 3.1 The Experimental Group
  • 3.2 The Control Group
  • 4 Experiment and Result Analysis
  • 4.1 The Group-Related Action Dimension
  • 4.2 The Emotional Polarity Dimension
  • 4.3 Non-community Behavior
  • 5 Conclusion
  • 6 Further Discussion
  • Acknowledgments
  • References
  • Mining Device-Specific Apps Usage Patterns from Appstore Big Data
  • 1 Introduction
  • 2 Related Work
  • 3 The Data Set.
  • 3.1 About Wandoujia
  • 3.2 Data Collection
  • 3.3 User Privacy
  • 3.4 Limitation of the Data Set
  • 4 Measurement Approach
  • 5 Analysis and Results
  • 5.1 Effect on App Management Activities
  • 5.2 Effect on Online Time
  • 5.3 Effect on Traffic Consumption
  • 5.4 Effect on App Revenue
  • 5.5 Effect on Choices of Competing Apps
  • 5.6 Summary of Findings
  • 6 Implications
  • 6.1 App Store Operators
  • 6.2 App Developers
  • 6.3 Network Service Providers
  • 7 Threats to Validity
  • 8 Conclusion and Future Work
  • References
  • An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base
  • Abstract
  • 1 Introduction
  • 2 Belief Rule-Base System
  • 2.1 Representation of a Belief Rule-Base (BRB)
  • 2.2 Belief Rule-Base Inference Methodology Using the Evidential Reasoning Approach (RIMER)
  • 2.3 Belief Rule-Base Parameter Training Model
  • 2.4 Question Putting Forward
  • 3 Parameter Training Method Base on Optimization of Artificial Bee Colony
  • 3.1 Artificial Bee Colony Algorithm
  • 3.2 Algorithm Improvement
  • 3.3 Algorithmic Description
  • 4 Experimental Analysis
  • 4.1 Multimodal Function Fitting Experiment
  • 4.2 Leak Detection Experiment of Oil Pipeline
  • 5 Summary and Prospect
  • Acknowledgements
  • References
  • Search of Center-Core Community in Large Graphs
  • 1 Introduction
  • 2 Related Work
  • 2.1 Community Search
  • 2.2 K-core Decomposition
  • 3 Problem Statement
  • 4 Querying Center-core Community
  • 4.1 The Novel CCG-Index
  • 4.2 Center-core Community Query Processing
  • 5 Experiments
  • 5.1 Index Construction
  • 5.2 Query Processing
  • 6 Conclusions
  • References
  • Real-Time Scientific Impact Prediction in Twitter
  • 1 Introduction
  • 2 Related Work
  • 2.1 Regression Scientific Impact Prediction
  • 2.2 Social Media Scientific Analysis
  • 3 Overview
  • 4 Scholarly Tweets Filtration.
  • 5 Tweet Scholar Block Extraction
  • 6 Real-Time Scientific Impact Prediction
  • 6.1 Author Social Features
  • 6.2 Venue Popularity Features
  • 6.3 Title Features
  • 7 Experiments
  • 7.1 Data Set
  • 7.2 Real-Time Scientific Impact Prediction Evaluation
  • 7.3 Feature Selection
  • 7.4 Ablation Study
  • 8 Conclusion
  • References
  • Online Matrix Factorization Hashing for Large-Scale Image Retrieval
  • Abstract
  • 1 Introduction
  • 2 The Proposed Method
  • 2.1 Notation
  • 2.2 Online Framework and Matrix Factorization
  • 2.3 Online Matrix Factorization Hashing
  • 3 Experiments
  • 3.1 Datasets
  • 3.2 The Evaluation Criterion
  • 3.3 The MAP at Different Rounds
  • 3.4 Comparison to Online Hashing
  • 3.5 Comparison to Batch Based Methods
  • 4 Conclusion
  • Acknowledgments
  • References
  • Multi-constrained Dominate Route Queries in Time-Dependent Road Networks
  • 1 Introduction
  • 2 Preliminaries
  • 3 Solutions to the MTDDR Query
  • 3.1 Baseline Algorithm
  • 3.2 TDER Algorithm
  • 3.3 FDER Algorithm
  • 4 Experiments
  • 4.1 Efficiency
  • 4.2 Number of Returned Routes
  • 5 Related Work
  • 6 Conclusion
  • References
  • Multi-class Weather Classification Fusing Weather Dataset and Image Features
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 3 Our Approach
  • 3.1 Dataset and Features
  • 3.2 Proposed Algorithm
  • 4 Experiment
  • 4.1 Experiment Setting
  • 4.2 The Result of Classification
  • 5 Conclusion
  • Acknowledgment
  • References
  • Multiple Meta Paths Combined for Vertex Embedding in Heterogeneous Networks
  • 1 Introduction
  • 2 Related Work
  • 3 Problem Definition
  • 3.1 Heterogeneous Information Network
  • 3.2 Meta Path
  • 3.3 Heterogeneous Information Network Embedding
  • 4 Methodology
  • 4.1 Matrix Representation of Meta Path
  • 4.2 Multiple Meta Path Combined Embedding
  • 5 Experiment
  • 5.1 Dataset
  • 5.2 Experimental Setup.
  • 5.3 Classification Task Quantitative Results
  • 5.4 Retrieval Task Quantitative Results
  • 5.5 Case Study: Similarity Search
  • 6 Conclusion
  • References
  • A Review of Recent Advances in Identity Identification Technology Based on Biological Features
  • Abstract
  • 1 Introduction
  • 2 Biometric Feature Recognition Technology
  • 2.1 Fingerprint Recognition
  • 2.2 Palmprint Recognition
  • 2.3 Face Recognition
  • 2.4 Iris Recognition
  • 2.5 Retinal Identification
  • 2.6 Vein Recognition
  • 2.7 Gait Recognition
  • 2.8 Signature Recognition
  • 2.9 Other Biometric Feature Recognition Techniques
  • 3 The Comprehensive Comparison and Analysis of Several Biometric Identification Techniques
  • 4 Summary and Prospect
  • References
  • Interpretable Verification of Visually Similar Vehicle Images Using Convolutional Networks
  • 1 Introduction
  • 2 Related Work
  • 3 Approach
  • 3.1 Image Alignment
  • 3.2 Network Architecture
  • 3.3 Network Training
  • 3.4 Improved Loss Function
  • 4 Experiments and Analysis
  • 4.1 Dataset
  • 4.2 Qualitative Results
  • 4.3 Evaluation of Saliency Map
  • 4.4 Quantitive Comparison with Other Methods
  • 4.5 Limitation
  • 5 Conclusion
  • References
  • Learning Noise-Aware Correlation Filter for Visual Tracking
  • 1 Introduction
  • 2 Related Work
  • 3 Review of Correlation Filters Tracking
  • 4 Methods
  • 4.1 Noise-Aware Correlation Filter
  • 4.2 Optimization
  • 4.3 Tracking
  • 5 Experiments
  • 5.1 Experimental Setup
  • 5.2 Tracking Speed
  • 5.3 Comparison with Baseline Methods
  • 5.4 Comparison with State-of-the-Art Trackers
  • 6 Conclusion
  • References
  • Research on Urban Street Order Based on Data Mining Technology
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 3 The Design of Urban Street Order Model
  • 3.1 The Street Order Classification Prediction Model
  • 3.2 The High Incidence Region Classification Prediction Model.
  • 3.3 The Street Order Association Rules Model
  • 4 The Implementation of Street Order Decision Support System
  • 5 Conclusions
  • Acknowledgements
  • References
  • A Vertex-Centric Graph Simulation Algorithm for Large Graphs
  • 1 Introduction
  • 2 Background
  • 2.1 Graph Pattern Matching
  • 2.2 Vertex-Centric Graph Processing
  • 3 The Proposed Algorithm
  • 3.1 Query Graph Analysis
  • 3.2 Acyclic Query Graph Algorithm
  • 3.3 Cyclic Query Graph Algorithm
  • 4 Experiments and Results
  • 4.1 Experiment Setup
  • 4.2 Experiment Results
  • 4.3 Summary
  • 5 Related Work
  • 5.1 Subgraph Isomorphism
  • 5.2 Relaxed Subgraph Match
  • 5.3 Subgraph Match in Distributed Framework
  • 6 Conclusion
  • References
  • Big Data Applications
  • A Multi-scale Dehazing Network with Transmission Range Stretching
  • Abstract
  • 1 Introduction
  • 2 Related Work
  • 2.1 The Atmospheric Scattering Model
  • 2.2 Features Related to Haze Density
  • 3 The Proposed Method
  • 3.1 The Design of Dehazing Network
  • 3.2 The Training of the Dehazing Network
  • 3.3 Recover the Haze-Free Image
  • 3.4 Method of Adaptively Stretching the Transmission Range
  • 4 Experiments
  • 4.1 Comparison in Natural Images
  • 4.2 Comparison in Synthesis Images
  • 5 Conclusions
  • Acknowledgement
  • References
  • LaG-DESIQUE: A Local-and-Global Blind Image Quality Evaluator Without Training on Human Opinion Scores
  • 1 Introduction
  • 2 Algorithm
  • 2.1 Local DESIQUE
  • 2.2 Global DESIQUE
  • 2.3 LaG-DESIQUE Quality Index
  • 3 Results and Analysis
  • 3.1 Performance on LIVE
  • 3.2 Performance on Other Databases
  • 4 Conclusion
  • References
  • Missing Recover with Recurrent Neural Networks for Video Object Detection
  • 1 Introduction
  • 2 Related Work
  • 2.1 Static Image Object Detection
  • 2.2 Video Object Detection
  • 2.3 Modeling Sequence Data with RNNs
  • 3 Approach
  • 3.1 Model
  • 3.2 Loss Function.
  • 4 Experiments and Analysis.