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  • Produktbild: Computational Data and Social Networks
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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

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.11.2019

Abbildungen

XIV, 372 p. 147 illus., 68 illus. in color.

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

Abbildungen

XIV, 372 p. 147 illus., 68 illus. in color.

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.