Be certain of how-to before mining uncertain data

Francesco Gullo, Giovanni Ponti, Andrea Tagarelli

Research output: Contribution to conferencePaper

Abstract

The purpose of this technical note is to introduce the problems of similarity detection and summarization in uncertain data. We provide the essential arguments that make the problems relevant to the data-mining and machine-learning community, stating major issues and summarizing our contributions in the field. Further challenges and directions of research are also issued. © 2014 Springer-Verlag.
Original languageEnglish
DOIs
Publication statusPublished - 2014
EventEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014 - , France
Duration: 1 Jan 2014 → …

Conference

ConferenceEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014
CountryFrance
Period1/1/14 → …

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Gullo, F., Ponti, G., & Tagarelli, A. (2014). Be certain of how-to before mining uncertain data. Paper presented at European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014, France. https://doi.org/10.1007/978-3-662-44845-8_42