Web and Big Data: 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II

The 6th International Joint Conference,APWeb-WAIM 2022, held in Nanjing, China, had 297 submissions, and this three-volume set, LNCS 13421, 13422, and 13423, contains 75 full papers and 45 short papers. The papers are organized around topics such as Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust, Blockchain data management and applications, and Spatial and multi-media data.

Format: Paperback / softback
Length: 560 pages
Publication date: 10 February 2023
Publisher: Springer International Publishing AG

This three-volume set, LNCS 13421, 13422, and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics:

Big Data Analytic and Management: This topic encompasses the exploration of advanced techniques and methodologies for analyzing and managing large datasets, including data mining, machine learning, and cloud computing.

Advanced Database and Web Applications: This area focuses on developing innovative database systems and web applications, such as data visualization, recommendation systems, and blockchain technologies.

Cloud Computing and Crowdsourcing: The papers in this section explore the use of cloud computing and crowdsourcing for data storage, processing, and analysis, as well as their applications in various domains.

Data Mining: This topic covers the extraction of valuable information from large datasets using techniques such as statistical analysis, neural networks, and machine learning.

Graph Data and Social Networks: The papers in this section explore the analysis and modeling of graph data, including social networks, networks of relationships, and complex systems.

Information Extraction and Retrieval: This area focuses on developing methods and systems for extracting information from diverse sources, such as text, images, and multimedia content.

Knowledge Graph: The papers in this section explore the construction, management, and analysis of knowledge graphs, which represent structured data in a graph-based format.

Machine Learning: This topic covers the development and application of machine learning algorithms for solving complex problems, such as image recognition, natural language processing, and autonomous systems.

Query Processing and Optimization: The papers in this section address the processing and optimization of queries in databases and information systems, including query optimization, indexing, and query processing algorithms.

Recommender Systems: This area explores the development and evaluation of recommender systems, which provide personalized recommendations to users based on their preferences and behavior.

Security, Privacy, and Trust: The papers in this section address the issues of security, privacy, and trust in information systems, including authentication, authorization, and data protection.

Blockchain Data Management and Applications: The papers in this section explore the use of blockchain technology for data management and applications, including decentralized systems, smart contracts, and blockchain-based applications.

Spatial and Multi-media Data: This topic encompasses the analysis and processing of spatial and multi-media data, including geographic information systems, remote sensing, and multimedia content analysis.

In conclusion, this three-volume set presents a comprehensive collection of cutting-edge research on various topics related to web and information management, providing valuable insights to researchers, practitioners, and students in this field.

Weight: 878g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031251979
Edition number: 1st ed. 2023