Databases Theory and Applications 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chang, Lijun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gan, Junhao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cao, Xin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11393
• Θέματα: Database management.; Information storage and retrieval.; Application software.; Data mining.; Special purpose computers.; Artificial intelligence.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Data Mining and Knowledge Discovery.; Special Purpose and Application-Based Systems.; Artificial Intelligence.

This book constitutes the refereed proceedings of the 30th Australasian Database Conference, ADC 2019, held in Sydney, NSW, Australia, in January/February 2019. The 9 full papers presented together with one demo paper were carefully reviewed and selected from 19 submissions. The Australasian Databas...

Πίνακας περιεχομένων:

• Batch Processing of Shortest Path Queries in Road Networks
• Extracting Temporal Patterns From Large-Scale Text Corpus
• Simple SQL Validation of Generalized Entity Integrity
• A Versatile Framework for Painless Benchmarking of Database Management Systems
• Neighbourhood Blocking for Record Linkage
• Items2Data: Generating Synthetic Boolean Datasets from Itemsets
• Real Time Transaction Management in Replicated DRTDBS
• Materialized View Selection for Aggregate View Recommendation
• Effective Community Search Over Location-Based Social Networks: Conceptual Framework with Preliminary Result
• Context-aware Visualization of Entity-Entity Relationships in a Document Corpus. .