Big Data
Springer Verlag, Singapore
978-981-15-1898-0 (ISBN)
The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application.
Big Data Modelling and Methodology.- A constrained self-adaptive sparse combination representation method for abnormal event detection.- A Distributed Scheduling Framework of Service based ETL Process.- A Probabilistic Soft Logic Reasoning Model with Automatic Rule Learning.- Inferring How Novice Students Learn to Code: Integrating Automated Program Repair with Cognitive Model.- Predicting Friendship Using a Unified Probability Model.- Product Feature Extraction via Topic Model and Synonym Recognition Approach.- Vietnamese Noun Phrase Chunking Based on BiLSTM-CRF Model and Constraint Rules.- Big Data Support and Architecture.- A Distributed Big Data Discretization Algorithm under Spark.- A Novel Distributed Duration-aware LSTM for Large Scale Sequential Data Analysis.- Considering User Distribution and Cost Awareness to Optimize Server Deployment.- Convolutional Neural Networks on EEG-based Emotion Recognition.- Distributed Subgraph Matching Privacy Preserving Method for Dynamic SocialNetwork.- Big Data Processing.- Clustering-Anonymization-Based Differential Location Privacy Preserving Protocol in WSN.- Distributed Graph Perturbation Algorithm on Social Networks with Reachability Preservation.- Minimum Spanning Tree Clustering Based on Density Filtering.- Research of CouchDB Storage Plugin for Big Data Query Engine Apache Drill.- Visual Saliency Based on Two-Dimensional Fractional Fourier Transform.- Big Data Analysis.- An Information Sensitivity Inference Method for Big Data Aggregation Based on Granular Analysis.- Attentional Transformer Networks for Target-Oriented Sentiment Classification.- Distributed Logistic Regression for Separated Massive Data.- Similarity Evaluation on Labeled Graphs via Hierarchical Core Decomposition.- Weighted Multi-label Learning with Rank Preservation.- Orthogonal Graph Regularized Nonnegative Matrix Factorization for Image Clustering.- Big Data Application.- Characteristics of Patient Arrivals and Service Utilization in OutpatientDepartments.- College Academic Achievement Early Warning Prediction based on Decision Tree Model.- Intelligent Detection of Large-scale KPI Streams Anomaly Based on Transfer learning.- Latent Feature Representation for Cohesive Community Detection based on Convolutional Auto-Encoder.- Research on Monitoring Method of Ethylene Oxide Process by Improving C4.5 Algorithm.- Web API Recommendation with Features Ensemble and Learning-to-Rank.- EagleQR: An Application in Accessing Printed Text for the Elderly and Low Vision People.
| Erscheinungsdatum | 29.11.2019 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 1120 |
| Zusatzinfo | 134 Illustrations, color; 150 Illustrations, black and white; XV, 432 p. 284 illus., 134 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 981-15-1898-X / 981151898X |
| ISBN-13 | 978-981-15-1898-0 / 9789811518980 |
| Zustand | Neuware |
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