Towards user-aware rule discovery

Venkata Vamsikrishna Meduri, Paolo Papotti

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

1 Scopus citations

Abstract

Rule discovery is a challenging but inevitable process in several data centric applications. The main challenges arise from the huge search space that needs to be explored, and from the noise in the data, which makes the mining results hardly useful. While existing state-of-the-art systems pose the users at the beginning and the end of the mining process, we argue that this paradigm must be revised and new rule mining algorithms should be developed to let the domain experts interact during the discovery process. We discuss how new systems that embrace this approach overcome current limitations and ultimately result in shorter time and smaller user effort for rule discovery.

Original languageEnglish (US)
Title of host publicationInformation Search, Integration, and Personlization - 11th International Workshop, ISIP 2016, Revised Selected Papers
EditorsDominique Laurent, Nicolas Spyratos, Jean-Marc Petit, Dimitris Kotzinos, Yuzuru Tanaka
PublisherSpringer Verlag
Pages3-17
Number of pages15
ISBN (Print)9783319682815
DOIs
StatePublished - Jan 1 2017
Event11th International Workshop on Information Search, Integration, and Personlization, ISIP 2016 - Lyon, France
Duration: Nov 1 2016Nov 4 2016

Publication series

NameCommunications in Computer and Information Science
Volume760
ISSN (Print)1865-0929

Other

Other11th International Workshop on Information Search, Integration, and Personlization, ISIP 2016
CountryFrance
CityLyon
Period11/1/1611/4/16

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Meduri, V. V., & Papotti, P. (2017). Towards user-aware rule discovery. In D. Laurent, N. Spyratos, J-M. Petit, D. Kotzinos, & Y. Tanaka (Eds.), Information Search, Integration, and Personlization - 11th International Workshop, ISIP 2016, Revised Selected Papers (pp. 3-17). (Communications in Computer and Information Science; Vol. 760). Springer Verlag. https://doi.org/10.1007/978-3-319-68282-2_1