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Towards OLAP Analysis of Multidimensional Tweet Streams

Published: 22 October 2015 Publication History

Abstract

Social media and networks are used by millions of people to share with their friends across the world: tastes, opinions, ideas, etc. The volume and the speed at which these data are produced make it a challenging task to discover meaningful patterns in the data. Nevertheless, very interesting business goals could be achieved collecting these data and performing analytics on social media data streams, such as: addressing marketing strategies, targeting advertisements, and so forth. We emphasize that there is a need to investigate and define suitable knowledge mining approaches to go beyond explicitly available metadata by analyzing unstructured data to provide intelligent analytics services. Specifically, in this paper we provide first results on applying OLAP analysis to multidimensional Tweet streams.

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  • (2024)From Data to Insights: Using Fuzzy Logic in Spatial Data Summarization with Fuzzy Spatial OLAP2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE60900.2024.10611789(1-8)Online publication date: 30-Jun-2024
  • (2021)A Formal OLAP Algebra for NoSQL based Data WarehousesAnnals of Emerging Technologies in Computing10.33166/AETiC.2021.05.0195:5(154-161)Online publication date: 20-Mar-2021
  • (2021)Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approachMultimedia Tools and Applications10.1007/s11042-021-11390-1Online publication date: 4-Sep-2021
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cover image ACM Conferences
DOLAP '15: Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP
October 2015
108 pages
ISBN:9781450337854
DOI:10.1145/2811222
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 October 2015

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Author Tags

  1. advanced analytics
  2. knowledge discovery
  3. olap analysis
  4. social media analytics

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DOLAP '15 Paper Acceptance Rate 8 of 31 submissions, 26%;
Overall Acceptance Rate 29 of 79 submissions, 37%

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Cited By

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  • (2024)From Data to Insights: Using Fuzzy Logic in Spatial Data Summarization with Fuzzy Spatial OLAP2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE60900.2024.10611789(1-8)Online publication date: 30-Jun-2024
  • (2021)A Formal OLAP Algebra for NoSQL based Data WarehousesAnnals of Emerging Technologies in Computing10.33166/AETiC.2021.05.0195:5(154-161)Online publication date: 20-Mar-2021
  • (2021)Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approachMultimedia Tools and Applications10.1007/s11042-021-11390-1Online publication date: 4-Sep-2021
  • (2020)Spatial and temporal reasoning with granular computing and three way formal concept analysisGranular Computing10.1007/s41066-020-00232-4Online publication date: 7-Aug-2020
  • (2018)A Semantic BI Process for Detecting and Analyzing Mentions of Interest for a Domain in TweetsProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243100(197-204)Online publication date: 16-Oct-2018
  • (2017)Accurate frequency-based lexicon generation for opinion miningJournal of Intelligent & Fuzzy Systems10.3233/JIFS-1656233:4(2223-2234)Online publication date: 22-Sep-2017
  • (2017)Unfolding social content evolution along time and semanticsFuture Generation Computer Systems10.1016/j.future.2016.05.03966(146-159)Online publication date: Jan-2017
  • (2017)Data warehouse design approaches from social media: review and comparisonSocial Network Analysis and Mining10.1007/s13278-017-0423-87:1Online publication date: 7-Feb-2017
  • (2016)OLAP analysis of multidimensional tweet streams for supporting advanced analyticsProceedings of the 31st Annual ACM Symposium on Applied Computing10.1145/2851613.2851662(992-999)Online publication date: 4-Apr-2016
  • (2016)Clustering Geo-tagged Tweets for Advanced Big Data Analytics2016 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2016.78(42-51)Online publication date: Jun-2016
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