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Chbeir / Huang / Zhang

Web Information Systems Engineering - WISE 2022

23rd International Conference, Biarritz, France, November 1-3, 2022, Proceedings

Medium: Buch
ISBN: 978-3-031-20890-4
Verlag: Springer International Publishing
Erscheinungstermin: 06.11.2022
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This book constitutes the proceedings of the 23nd International Conference on Web Information Systems Engineering, WISE 2021, held in Biarritz, France, in November 2022.

The 31 full, 13 short and 3 demo papers were carefully reviewed and selected from 94 submissions. The papers are organized in the following topical sections:

Social Media, Spatial & Temporal Issues, Query Processing & Information Extraction, Architecture and Performance, Graph Data Management, Security & Privacy, Information Retrieval & Text Processing, Reinforcement Learning, Learning & Optimization, Spatial Data Processing, Recommendation, Neural Networks, and Demo Papers.

Produkteigenschaften

  • Artikelnummer: 9783031208904
  • Medium: Buch
  • ISBN: 978-3-031-20890-4
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 06.11.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 1019 g
  • Seiten: 661
  • Format (B x H x T): 155 x 235 x 37 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Social Media.- Utilizing Social Media Retweeting for Improving Event Participant Prediction.- A Domain-independent Method for Thematic Dataset Building from Social Media: The Case of Tourism on Twitter.- Domain Adversarial Training for Aspect-Based Sentiment Analysis.- Social Community Evolution Analysis and Visualization in Open Source Software Projects.- Spatial & Temporal Issues.- Hop-constrained s-t Simple Path Enumeration in Billion-scale Labelled Graphs.- Complex Question Answering over Temporal Knowledge Graphs.- Hotspots Recommender: Spatio-temporal Prediction of Ride-hailing and Taxicab Services.- Query Processing & Information Extraction.- Towards a Co-Selection Approach for a Global Explainability of Black Box Machine Learning Models.- A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks.- An Unsupervised Approach to Genuine Health Information Retrieval based on Scientific Evidence.- Explaining Unexpected Answers of SPARQL Queries.- Architecture and Performance I.- Bitcoin Transaction Confirmation Time Prediction: A Classification Review.- Offworker: An Offloading Framework for Parallel Web Applications.- High-Performance Transaction Processing for Web Applications Using Column-Level Locking.- sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect.- Architecture and Performance II.- LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers.- A Service-based Framework for Adaptive Data Curation in Data Lakehouses.- Retrofitting Industrial Machines with WebAssembly on the Edge.- Graph Data Management.- Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features.- Rumor Detection in Social Network via Influence based on Bi-Directional Graph Convolutional Network.- Efficient Truss Computation for Large Hypergraphs.- Security & Privacy.- Identifying Privacy Risks raised by Utility Queries.- An Empirical Assessment of Security and Privacy Risks of Web-based Chatbots.- An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing.- Information Retrieval & Text Processing.- Enhanced Topic Representation by Ambiguity Handling.- Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge.- Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.- Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation.- Reinforcement Learning.- Incorporating News Summaries for Stock Predictions via Graphical Learning.- Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning.- EEML: Ensemble Embedded Meta-learning.- Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation.- Learning & Optimization.- Multi-document Question Answering Powered by External Knowledge.- A Learning-based Approach for Multi-scenario Trajectory Similarity Search.- Transformer-based Cache Replacement Policy Learning.- Spatial Data Processing.- Conats: A Novel Framework for Cross-Modal Map Extraction.- Attentive Knowledge-aware Path Network for Explainable Travel Mashup.- Extra Budget-aware Online Task Assignment in Spatial Crowdsourcing.- Recommendation.- TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations.- Towards Robust Recommender Systems via Triple Cooperative Defense.- Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces.- Neural Networks.- Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model.- Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis.- Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.- Demo Papers.- RDF_QDAG in action: Efficient RDF Data querying at scale.- Multi-source Logistics Data Management Architecture.- TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-temporal Fuzzy Co-location Patterns