LEADER 06256nam 22007695 450 001 9910357842803321 005 20200630192615.0 010 $a981-15-1899-8 024 7 $a10.1007/978-981-15-1899-7 035 $a(CKB)4100000009939694 035 $a(MiAaPQ)EBC5987291 035 $a(DE-He213)978-981-15-1899-7 035 $a(PPN)248599836 035 $a(EXLCZ)994100000009939694 100 $a20191127d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data $e7th CCF Conference, BigData 2019, Wuhan, China, September 26?28, 2019, Proceedings /$fedited by Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (xv, 432 pages) $cillustrations 225 1 $aCommunications in Computer and Information Science,$x1865-0929 ;$v1120 311 $a981-15-1898-X 327 $aBig 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 Social Network -- 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 Outpatient Departments -- 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. 330 $aThis book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019. The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application. 410 0$aCommunications in Computer and Information Science,$x1865-0929 ;$v1120 606 $aBig data 606 $aComputers 606 $aMachine learning 606 $aComputer communication systems 606 $aOptical data processing 606 $aArchitecture, Computer 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 615 0$aBig data. 615 0$aComputers. 615 0$aMachine learning. 615 0$aComputer communication systems. 615 0$aOptical data processing. 615 0$aArchitecture, Computer. 615 14$aBig Data. 615 24$aInformation Systems and Communication Service. 615 24$aMachine Learning. 615 24$aComputer Communication Networks. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer System Implementation. 676 $a005.7 702 $aJin$b Hai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLin$b Xuemin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCheng$b Xueqi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShi$b Xuanhua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXiao$b Nong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHuang$b Yihua$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910357842803321 996 $aBig Data$91412830 997 $aUNINA