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Databases Theory and Applications de Wen Hua

Databases Theory and Applications: Lecture Notes in Computer Science, cartea 13459

Editat de Wen Hua, Hua Wang, Lei Li
en Limba Engleză Paperback – 27 aug 2022
This book constitutes the refereed proceedings of the 33rd International Conference on Databases Theory and Applications, ADC 2022, held in Sydney, Australia, in September 2022. The conference is co-located with the 48th International Conference on Very Large Data Bases, VLDB 2022.
The 9 full papers presented together with 8 short papers were carefully reviewed and selected from 36 submissions. ADC focuses on database systems, data-driven applications, and data analytics.
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Specificații

ISBN-13: 9783031155116
ISBN-10: 3031155114
Pagini: 232
Ilustrații: XII, 217 p. 69 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.36 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

On International Chinese Education Index Ranking in A Global Perspective.- Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach.- Full Research Papers A Top-Down Scheme for Coverage Centrality Queries on Road Networks.- Personalized Arrhythmia Detection based on Lightweight Autoencoder and Variational Autoencoder.- Efficient kNN Join over Dynamic High-dimensional Data.- Diverse Shortest Paths in Game Maps: A Comparative User Study and Experiments.- Predicting Taxi Hotspots in Dynamic Conditions using Graph Neural Network.- Analysing big brain signal data for advanced Brain Computer Interface system.- Hop-constrained s-t Simple Path Enumeration in Large Uncertain Graphs.- Improving Eco-Friendly Routing Considering Detailed Mobility Profiles, Driving Behavior and Vehicle Type.-  Real-time Detection and Visualization of Traffic Conditions by Mining Twitter Data.- FluMA: An Intelligent Platform for Influenza Monitoring and Analysiss.- Enhancingsystem security by Intrusion Detection using Deep learning.-  . . . 148 Lakshit Sama and Hua Wang Challenges in Electroencephalography Data Processing Using Machine Learning Approaches.- Database States Exhibiting Tree Projection Necessity.- Comparative Study of Transformer Models.- Removing Performance Bottleneck of Timestamp Allocation in Two-Phase Locking based Protocol.- Performance prediction of songs on online music platforms.- Artificial Intelligence.- Bloom Filters and Hashing.- Clustering and Classification.- Data Mining and Knowledge Discovery.- Feature Selection.- High-Dimensional and Temporal Data.- Information Retrieval.- Medical Technologies.- Neural Networks.- Query Processing and Optimization.- Recommender Systems.- Social Data Management.- Social Networks.- Spatial Data Processing and Management.- Stream and Sensor Data Management.