Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

Information retrieval --- Mass communications --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- communicatie --- informatiesystemen --- computerbeveiliging --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Information retrieval --- Mass communications --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- communicatie --- informatiesystemen --- computerbeveiliging --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Social sciences (general) --- Computer assisted instruction --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- applicatiebeheer --- apps --- grafische vormgeving --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- KI (kunstmatige intelligentie) --- architectuur (informatica)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Social sciences (general) --- Computer science --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- informatica --- sociale wetenschappen --- algoritmen --- KI (kunstmatige intelligentie) --- computernetwerken --- data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Social sciences (general) --- Computer assisted instruction --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- wiskunde --- algoritmen --- KI (kunstmatige intelligentie)