
Big Data and Social Computing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topical headings: Digital Technology and Sustainable Development; Social Network and Group Behavior; Digital infrastructure and the Intelligent Society; Digital Society and Public Security; Artificial Intelligence and Cognitive Science; and Internet Intelligent Algorithm Governance.
More details
Other editions
Additional editions

Content
Digital Technology and Sustainable Development .- A Power Consumption Forecasting Method Based on Knowledge Embedding Under the Influence of the COVID-19 Pandemic.- An efficient regional co-location pattern mining algorithm over extended objects based on neighborhood distribution relation computation.- Research on Multi-objective Optimization Algorithm for Coal Blending.- Social Network and Group Behavior .- Research on the Public Value of Government Social Media Content and Communication Strategies under "Infodemic".- Location Recommendations Based on Multi-view Learning and Attention-enhanced Graph Networks.- Driving Style Classification and Dynamic Recognition Considering Traffic State.- Who Connects Wikipedia? A Deep Analysis of Node Roles and Connection Patterns in Wikilink Network.- Digital infrastructure and the Intelligent Society .- Social Behavior-Aware Driving Intention Detection using Spatio-Temporal Attention Network.- Intelligent Government Decision-Making: A Multidimensional Policy Text Visualization Analysis System.- Heuristic Approach to Curate Disease Taxonomy Beyond Nosology-based Standards.- Root Cause Localization Method of Base Station Cells with Poor Quality using AI+SHAP.- Digital Society and Public Security Does Internet Use Promote the Garbage Classification Behavior of Farmers? -- Empirical Evidence from Rural China.- Traffic State Propagation Prediction based on SAE-LSTM-SAD under the SCATS.- Citation Prediction via Influence Representation using Temporal Graphs.- Enhancing Time Series Anomaly Detection with Graph Learning Techniques.- Image Dehazing based on CycleGAN with an Enhanced Generator and a Multiscale Discriminator.- Artificial Intelligence and Cognitive Science .- Accurate and Rapid Localization of Tea Bud Leaf Picking Point based on YOLOv8.- Compressor Fault Diagnosis Based on Graph AttentionNetwork.- Conductance-Threshold Dual Adaptive Spiking Neural Networks for Speech Recognition.- Mitigating Backdoor Attacks Using Prediction of Model Update Trends.- The Motor Fault Diagnosis Based On Current Signal With Graph Attention Network.- Internet Intelligent Algorithm Governance .- NILSIC-BERT4Rec: Sequential Recommendation with Non-Invasive and Interest Capturing Self-Attention Mechanism.- Rethinking the Robustness of Graph Neural Networks.- MDC: An Interpretable GNNs Method Based on Node Motif Degree and Graph Diffusion Convolution.- Missing data imputation for traffic flow data using SAE-GAN-SAD.- Scaffold Data Augmentation for Molecular Property Prediction.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.