BSMA-gen: A parallel synthetic data generator for social media timeline structures

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Abstract

A synthetic social media data generator, namely BSMA-Gen is introduced in this demonstration. It can parallelly generate timeline structures of social media. The data generator is part of BSMA, a benchmark for analytical queries over social media data. Both its internal process and generated data are to be shown in the demonstration.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 19th International Conference, DASFAA 2014, Proceedings
PublisherSpringer Verlag
Pages539-542
Number of pages4
EditionPART 2
ISBN (Print)9783319058122
DOIs
StatePublished - 2014
Event19th International Conference on Database Systems for Advanced Applications, DASFAA 2014 - Bali, Indonesia
Duration: 21 Apr 201424 Apr 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8422 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Database Systems for Advanced Applications, DASFAA 2014
Country/TerritoryIndonesia
CityBali
Period21/04/1424/04/14

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