000917407 000__ 04899cam\a2200517Ii\4500 000917407 001__ 917407 000917407 005__ 20230306150723.0 000917407 006__ m\\\\\o\\d\\\\\\\\ 000917407 007__ cr\cn\nnnunnun 000917407 008__ 191129s2019\\\\si\a\\\\o\\\\\101\0\eng\d 000917407 020__ $$a9789811518997$$q(electronic book) 000917407 020__ $$a9811518998$$q(electronic book) 000917407 020__ $$z9789811518980 000917407 0248_ $$a10.1007/978-981-15-1 000917407 035__ $$aSP(OCoLC)on1129156512 000917407 035__ $$aSP(OCoLC)1129156512 000917407 040__ $$aLQU$$beng$$erda$$cLQU$$dGW5XE$$dYDXIT 000917407 049__ $$aISEA 000917407 050_4 $$aQA76.9.B45$$bC34 2019 000917407 08204 $$a005.7$$223 000917407 1112_ $$aCCF Conference on Big Data$$n(7th :$$d2019 :$$cWuhan, China) 000917407 24510 $$aBig data :$$b7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, proceedings /$$cHai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang (eds.). 000917407 2463_ $$aBigData 2019 000917407 264_1 $$aSingapore :$$bSpringer,$$c[2019] 000917407 300__ $$a1 online resource. 000917407 336__ $$atext$$btxt$$2rdacontent 000917407 337__ $$acomputer$$bc$$2rdamedia 000917407 338__ $$aonline resource$$bcr$$2rdacarrier 000917407 4901_ $$aCommunications in computer and information science ;$$v1120 000917407 500__ $$aIncludes author index. 000917407 5050_ $$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 Servic e 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. 000917407 506__ $$aAccess limited to authorized users. 000917407 520__ $$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. 000917407 588__ $$aDescription based on online resource; title from digital title page (viewed on December 16, 2019). 000917407 650_0 $$aBig data$$vCongresses. 000917407 7001_ $$aJin, Hai,$$eeditor. 000917407 7001_ $$aLin, Xuemin,$$eeditor. 000917407 7001_ $$aCheng, Xueqi,$$eeditor. 000917407 7001_ $$aShi, Xuanhua,$$eeditor. 000917407 7001_ $$aXiao, Nong,$$eeditor. 000917407 7001_ $$aHuang, Yihua,$$eeditor. 000917407 830_0 $$aCommunications in computer and information science ;$$v1120. 000917407 852__ $$bebk 000917407 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-1899-7$$zOnline Access$$91397441.1 000917407 909CO $$ooai:library.usi.edu:917407$$pGLOBAL_SET 000917407 980__ $$aEBOOK 000917407 980__ $$aBIB 000917407 982__ $$aEbook 000917407 983__ $$aOnline 000917407 994__ $$a92$$bISE