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Computational Data and Social Networks 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings

Aus der Reihe Theoretical Computer Science and General Issues

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.11.2019

Herausgeber

Andrea Tagarelli + weitere

Verlag

Springer

Seitenzahl

372

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-34979-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.11.2019

Herausgeber

Verlag

Springer

Seitenzahl

372

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-34979-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Data and Social Networks
  • Produktbild: Computational Data and Social Networks

  • Combinatorial Optimization and Learning .- A Probabilistic Divide and Conquer Algorithm for the Minimum Tollbooth Problem.- Distributed Core Decomposition in Probabilistic Graphs.- Sampled Fictitious Play on Networks.- Outlier Detection Forest for Large-scale Categorical Data Sets.- Neural Networks with Multidimensional Cross-Entropy Loss Functions.- A RVND+ILS metaheuristic to Solve the Delivery Man Problem with Time Windows.- Star2vec: from subspace embedding to whole-space embedding for intelligent recommendation system (Extended Abstract).- Approximation algorithm for the squared metric soft capacitated facility location problem (Extended Abstract).- An Efficient Algorithm for the k-Dominating Set Problem on Very Large-Scale Networks (Extended Abstract).- Strategy-proof cost-sharing mechanism design for a generalized cover-sets problem (Extended Abstract).- Influence Modeling, Propagation, and Maximization.- Hybrid Centrality Measures for Service Coverage Problem.- Hop-based Sketch for Large-scale Influence Analysis.- Profit Maximization under Group Influence Model in Social Networks.- Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing.- Location-Based Competitive Influence Maximization in Social Networks.- Cascade of Edge Activation in Networks.- Reinforcement Learning in Information Cascades Based on Dynamic User Behavior.- Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.- Who Watches What: forecasting viewership for the top 100 TV networks.- NLP and Affective Computing . - PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis.- One-document Training For Vietnamese Sentiment Analysis.- Assessing the readability of Vietnamese texts through comparison.- Learning Representations for Vietnamese Sentence Classification (Extended Abstract).- Exploring Machine Translation on the Chinese-Vietnamese Language Pair.- Computational Methods for Social Good.- Towards an Aspect-based Ranking Model for Clinical Trial Search.- Scalable Self-Taught Deep-embedded Learning Framework for Drug Abuse Spatial Behaviors Detection.- Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention.- Online Community Conflict Decomposition with Pseudo Spatial Permutation.- Attribute-Enhanced De-anonymization of Online Social Networks.- Subgraph-based Adversarial Examples Against Graph-based IoT Malware Detection Systems.- Incorporating Content beyond Text: A High Reliable Twitter-based Disaster Information System.- Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection.- A Novel Privacy-Preserving Socio-Technical Platform for Detecting Cyber Abuse (Extended Abstract).- Projection-based Coverage Algorithms in 3D Camera Sensor Networks for Indoor Objective Tracking.- User Profiling and Behavior Modeling.- Enhancing Collaborative Filtering with Multi-label Classification.- Link Prediction on Dynamic Heterogeneous Information Networks.- Information Network Cascading and Network Re-construction with Bounded Rational User Behaviors.- Gender Prediction through Synthetic Resampling of User Profiles using SeqGANs.