DEMO: REMI, reusable elements for multi-level information availability

Avigdor Gal, Nicolo Rivetti, Arik Senderovich, Dimitrios Gunopulos, Ioannis Katakis, Nikolaos Panagiotou, Vana Kalogeraki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Applications targeting Smart Cities tackle common challenges, however solutions are seldom portable from one city to another due to the heterogeneity of city ecosystems. A major obstacle involves the differences in the levels of available information. In this demonstration we present REMI, a reusable elements framework to handle varying degrees of information availability by design from two complementary angles, namely graceful degradation (GRADE) and data enrichment (DARE). In a nutshell, we develop reusable machine learning black boxes for mining and aggregating streaming data, either to infer missing data from available data, or to adapt expected accuracy based on data availability. We illustrate the proposed approach using tram data from the city of Warsaw.

Original languageEnglish
Title of host publicationDEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
Pages323-326
Number of pages4
ISBN (Electronic)9781450350655
DOIs
StatePublished - 8 Jun 2017
Event11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017 - Barcelona, Spain
Duration: 19 Jun 201723 Jun 2017

Publication series

NameDEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems

Conference

Conference11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017
Country/TerritorySpain
CityBarcelona
Period19/06/1723/06/17

Keywords

  • Data enrichment
  • Graceful degradation
  • Information availability

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering
  • Software

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