TBD-DP: Telco big data visual analytics with data postdiction

Constantinos Costa, Andreas Charalampous, Andreas Konstantinidis, Demetrios Zeinalipour-Yazti, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this demonstration paper, we present the TBD-DP operator, which relies on existing Machine Learning (ML) algorithms to abstract Telco Big Data (TBD) into compact models that can be stored and queried when necessary. Our proposed TBD-DP operator has the following two conceptual phases: (i) in an offline phase, it utilizes a LSTM-based hierarchical ML algorithm to learn a tree of models (coined TBD-DP tree) over time and space; (ii) in an online phase, it uses the TBD-DP tree to recover data within a certain accuracy. Our framework also includes visual and declarative interfaces for a variety of telco-specific data exploration tasks. We demonstrate the efficiency of the proposed operator using SPATE, which is a novel TBD visual analytic architecture we have developed. Our demo will enable attendees to interactively explore synthetic antenna signal traces, we will provide, in both visual and SQL mode. In both cases, the performance of the propositions will be quantitatively conveyed to the attendees through dedicated dashboards.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-281
Number of pages2
ISBN (Electronic)9781538641330
DOIs
StatePublished - Jul 13 2018
Event19th IEEE International Conference on Mobile Data Management, MDM 2018 - Aalborg, Denmark
Duration: Jun 26 2018Jun 28 2018

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2018-June
ISSN (Print)1551-6245

Other

Other19th IEEE International Conference on Mobile Data Management, MDM 2018
CountryDenmark
CityAalborg
Period6/26/186/28/18

Keywords

  • big data
  • data reduction
  • visual analytics

Fingerprint Dive into the research topics of 'TBD-DP: Telco big data visual analytics with data postdiction'. Together they form a unique fingerprint.

  • Cite this

    Costa, C., Charalampous, A., Konstantinidis, A., Zeinalipour-Yazti, D., & Mokbel, M. F. (2018). TBD-DP: Telco big data visual analytics with data postdiction. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (pp. 280-281). (Proceedings - IEEE International Conference on Mobile Data Management; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MDM.2018.00050