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

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: 466 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 and analysis of large and complex data sets, using advanced techniques such as data mining, machine learning, and artificial intelligence. It focuses on developing efficient methods for extracting valuable insights and making informed decisions based on big data.

Advanced database and web applications: This area focuses on developing advanced database systems and web applications that can handle large amounts of data and provide efficient and scalable solutions. It includes topics such as database design, query optimization, and data management strategies.

Cloud Computing and Crowdsourcing: Cloud computing and crowdsourcing are emerging technologies that enable the sharing and utilization of computing resources and data. This topic explores the applications of cloud computing and crowdsourcing in various fields, including data storage, processing, and analysis.

Data Mining: Data mining is the process of extracting valuable information from large data sets using statistical and machine learning techniques. It involves identifying patterns, trends, and associations in data to make predictions and inform decision-making.

Graph Data and Social Networks: Graph data and social networks represent relationships and interactions between individuals or entities. This topic explores the analysis and modeling of graph data, as well as the development of algorithms for understanding and analyzing social networks.

Information Extraction and Retrieval: Information extraction and retrieval involve the extraction of relevant information from documents, web pages, and other sources. This topic covers techniques such as text mining, natural language processing, and information retrieval systems.

Knowledge Graph: Knowledge graphs are structured representations of knowledge that can be used to enhance information retrieval and reasoning. This topic explores the construction, management, and analysis of knowledge graphs.

Machine Learning: Machine learning is a branch of computer science that involves the development of algorithms that can learn from data and make predictions or decisions without being explicitly programmed. This topic covers various machine learning algorithms, such as supervised learning, unsupervised learning, and reinforcement learning.

Query processing and optimization: Query processing and optimization involve the processing and optimization of queries submitted to databases and search engines. This topic covers techniques such as query optimization, indexing, and query processing algorithms.

Recommender Systems: Recommender systems are algorithms that provide personalized recommendations to users based on their preferences and behavior. This topic explores the development and evaluation of recommender systems in various domains, such as e-commerce, entertainment, and education.

Security, privacy, and trust: Security, privacy, and trust are critical issues in the digital age. This topic explores the development and evaluation of security protocols, privacy protection mechanisms, and trust management strategies.

Blockchain data management and applications: Blockchain is a distributed ledger technology that enables secure and transparent data storage and transactions. This topic explores the applications of blockchain in various fields, such as finance, supply chain management, and healthcare.

Spatial and multi-media data: Spatial and multi-media data represent geographic information and multimedia content. This topic explores the analysis, processing, and visualization of spatial and multi-media data, including techniques such as geospatial analysis, image processing, and video analysis.

In conclusion, this three-volume set of LNCS 13421, 13422, and 13423 presents a comprehensive collection of papers from the 6th International Joint Conference, APWeb-WAIM 2022. The papers cover a wide range of topics related to big data, 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. The contributions of the authors and reviewers to this conference make it a valuable resource for researchers, practitioners, and students in the field of computer science and related disciplines.

Weight: 735g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031252006
Edition number: 1st ed. 2023