Web Information Systems Engineering – WISE 2020: 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I: Lecture Notes in Computer Science, cartea 12342
Editat de Zhisheng Huang, Wouter Beek, Hua Wang, Rui Zhou, Yanchun Zhangen Limba Engleză Paperback – 18 oct 2020
Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing
Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 320.90 lei 38-45 zile | |
Springer International Publishing – 18 oct 2020 | 320.90 lei 38-45 zile | |
Springer International Publishing – 21 oct 2020 | 328.63 lei 38-45 zile |
Din seria Lecture Notes in Computer Science
- 20% Preț: 297.45 lei
- 20% Preț: 297.45 lei
- 20% Preț: 517.29 lei
- 5% Preț: 343.06 lei
- 20% Preț: 241.52 lei
- 20% Preț: 303.27 lei
- 20% Preț: 624.06 lei
- 20% Preț: 296.89 lei
- Preț: 346.79 lei
- Preț: 340.83 lei
- 20% Preț: 379.02 lei
- 20% Preț: 221.75 lei
- 20% Preț: 275.91 lei
- Preț: 262.38 lei
- 20% Preț: 298.57 lei
- 20% Preț: 266.97 lei
- 20% Preț: 360.10 lei
- 20% Preț: 310.09 lei
- 20% Preț: 284.43 lei
- 20% Preț: 308.00 lei
- 20% Preț: 202.42 lei
- 20% Preț: 283.35 lei
- 20% Preț: 315.25 lei
- 20% Preț: 572.84 lei
- 20% Preț: 475.27 lei
- 20% Preț: 291.91 lei
- 20% Preț: 289.52 lei
- 20% Preț: 290.45 lei
- 20% Preț: 698.69 lei
- 20% Preț: 347.90 lei
- 20% Preț: 413.13 lei
- 17% Preț: 338.16 lei
- 20% Preț: 771.51 lei
- 20% Preț: 447.62 lei
- 20% Preț: 298.57 lei
- 20% Preț: 287.43 lei
- 20% Preț: 414.27 lei
- 20% Preț: 413.75 lei
- 20% Preț: 639.35 lei
- 20% Preț: 267.73 lei
- 20% Preț: 322.75 lei
- 20% Preț: 297.58 lei
- 20% Preț: 367.40 lei
- 20% Preț: 607.93 lei
- 20% Preț: 297.58 lei
- 20% Preț: 377.31 lei
- 20% Preț: 289.95 lei
- 20% Preț: 418.32 lei
- 20% Preț: 345.69 lei
Preț: 320.90 lei
Preț vechi: 401.12 lei
-20%
Puncte Express: 481
Preț estimativ în valută:
61.48€ • 66.60$ • 52.72£
61.48€ • 66.60$ • 52.72£
Carte tipărită la comandă
Livrare economică 06-13 mai
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030620042
ISBN-10: 3030620042
Pagini: 578
Ilustrații: XVIII, 578 p. 178 illus., 139 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.83 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030620042
Pagini: 578
Ilustrații: XVIII, 578 p. 178 illus., 139 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.83 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Network Embedding.- Higher-Order Graph Convolutional Embedding for Temporal Networks.- ROLNE: Improving the Quality of Network Embedding With Structural Role Proximity.- Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks.- A Graph Embedding Based Real-time Social Activity Matching Model for EBSNs Recommendation.- Competitor Mining from Web Encyclopedia: A Graph Embedding Approach.- Graph Neural Network.- Fine-grained Semantics-aware Heterogeneous Graph Neural Networks.- DynGCN: A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling.- NeuLP: An End-to-end Deep-learning Model for Link Prediction.- PLSGAN: a Power-Law-modified Sequential Generative Adversarial Network for Graph Generation.- Social Network.- User Profile Linkage across Multiple Social Platforms.- Budgeted Influence Maximization with Tags in Social Networks.- Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes.- Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine.- Clustering Hashtags Using Temporal Patterns.- Nonnegative Residual Matrix Factorization for Community Detection.- Graph Query.- Fast Algorithm for Distance Dynamics-based Community Detection.- A hybrid index for exact shortest distance queries.- DySky: Dynamic Skyline Queries on Uncertain Graphs.- Leveraging Double Simulation to Efficiently Evaluate Hybrid Patterns on Data Graphs.- Knowledge Graph and Entity Linkage.- Knowledge-Infused Pre-Trained Models for KG Completion.- TransMVG: Knowledge Graph Embedding based on Multiple-Valued Gates.- ADKT: Adaptive Deep Knowledge Tracing.- MULCE: Multi-Level Canonicalization with Embeddings of Open Knowledge Bases.- Encoding Knowledge Graph Entity Aliases in Attentive Neural Networks for Wikidata Entity Linking.- Improving Entity Linking with Graph Networks.- Spatial Temporal Data Analysis.- Accurate Indoor Positioning Prediction Using The LSTM and Grey Model.- Bus Travel Time Prediction Based on Deep Spatio-Temporal Model.- TraSP: A General Framework for Online Trajectory Similarity Processing.- Indicators for Measuring Tourist Mobility.- Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting.- NSA-Net: A NetFlow Sequence Attention Network for Virtual Private Network Traffic Detection.- Spatial and Temporal Pricing Approach for Tasks in Spatial Crowdsourcing.- Service Computing and Cloud Computing.- Attention-based High-order Feature Interactions to Enhance the Recommender System for Web-based Knowledge-Sharing Service.- Designing Context-based Services for Resilient Cyber Physical Production Systems.- A Novel Repair-Based Multi-Objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition.- Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction.- Fast Build Top-k Lightweight Service-based Systems.- Comparison of Text-based and Feature-based Semantic Similarity Between Android Apps.- Subjective Metrics-based Cloud Market Performance Prediction.- Towards Web-scale and Energy-efficient Hybrid SDNs: Deployment Optimization and Fine-grained Link State Management.