Articles liés à Big Data: 7th CCF Conference, BigData 2019, Wuhan,...

Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings - Couverture souple

 
9789811519000: Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings

L'édition de cet ISBN n'est malheureusement plus disponible.

Synopsis

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 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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

  • ÉditeurSpringer
  • Date d'édition2019
  • ISBN 10 9811519005
  • ISBN 13 9789811519000
  • ReliurePaperback
  • Langueanglais
  • Coordonnées du fabricantnon disponible

(Aucun exemplaire disponible)

Chercher:



Créez une demande

Vous ne trouvez pas le livre que vous recherchez ? Nous allons poursuivre vos recherches. Si l'un de nos libraires l'ajoute aux offres sur AbeBooks, nous vous le ferons savoir !

Créez une demande

Autres éditions populaires du même titre

9789811518980: Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings

Edition présentée

ISBN 10 :  981151898X ISBN 13 :  9789811518980
Editeur : Springer, 2019
Couverture souple