Databases Theory and Applications
33rd Australasian Database Conference, ADC 2022, Sydney, NSW, Australia, September 2¿4, 2022, Proceedings
Herausgegeben:Hua, Wen; Wang, Hua; Li, Lei
Databases Theory and Applications
33rd Australasian Database Conference, ADC 2022, Sydney, NSW, Australia, September 2¿4, 2022, Proceedings
Herausgegeben:Hua, Wen; Wang, Hua; Li, Lei
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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.
Andere Kunden interessierten sich auch für
- Database and Expert Systems Applications69,99 €
- Big Data Analytics61,99 €
- Artificial Intelligence in Medicine160,49 €
- Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence97,99 €
- Intelligent Data Engineering and Automated Learning ¿ IDEAL 202273,99 €
- Database and Expert Systems Applications - DEXA 2021 Workshops41,99 €
- Advances in Intelligent Data Analysis XX61,99 €
-
-
-
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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 13459
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-15511-6
- 1st ed. 2022
- Seitenzahl: 232
- Erscheinungstermin: 27. August 2022
- Englisch
- Abmessung: 235mm x 155mm x 13mm
- Gewicht: 359g
- ISBN-13: 9783031155116
- ISBN-10: 3031155114
- Artikelnr.: 64537986
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 13459
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-15511-6
- 1st ed. 2022
- Seitenzahl: 232
- Erscheinungstermin: 27. August 2022
- Englisch
- Abmessung: 235mm x 155mm x 13mm
- Gewicht: 359g
- ISBN-13: 9783031155116
- ISBN-10: 3031155114
- Artikelnr.: 64537986
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.