Web Information Systems Engineering - WISE 2023 : 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings

Feng Zhang

ISBN 10: 9819972531 / ISBN 13: 9789819972531

Published by Springer, Springer, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 24th International Conference on Web Information Systems Engineering, WISE 2023, held in Melbourne, Victoria, Australia, in October 2023.The 33 full and 40 short papers were carefully reviewed and selected from 137 submissions.They were organized in topical sections as follows: text and sentiment analysis; question answering and information retrieval; social media and news analysis; security and privacy; web technologies; graph embeddings and link predictions; predictive analysis and machine learning; recommendation systems; natural language processing (NLP) and databases; data analysis and optimization; anomaly and threat detection; streaming data; miscellaneous; explainability and scalability in AI.

Seller Inventory # 9789819972531

Bibliographic Details

• Title: Web Information Systems Engineering - WISE 2023 : 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings
• Publisher: Springer, Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 9819972531
• ISBN 13: 9789819972531
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 52D millimeters 235 millimeters width by 155 millimeters height by 52 millimeters depth
• Weight: 1445 grams

About this title

Synopsis

This book constitutes the proceedings of the 24th International Conference on Web Information Systems Engineering, WISE 2023, held in Melbourne, Victoria, Australia, in October 2023.

The 33 full and 40 short papers were carefully reviewed and selected from 137 submissions. They were organized in topical sections as follows: text and sentiment analysis; question answering and information retrieval; social media and news analysis; security and privacy; web technologies; graph embeddings and link predictions; predictive analysis and machine learning; recommendation systems; natural language processing (NLP) and databases; data analysis and optimization; anomaly and threat detection; streaming data; miscellaneous; explainability and scalability in AI.