Data analysis

Aristides Gionis*

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Aristides Gionis presents a report to highlight opportunities for enhancing global research data infrastructures from the point of view of data analysis. The report discusses various directions and data-analysis functionalities for supporting such infrastructures. It groups the proposed data-analysis challenges around two main themes, such as text analytics, information retrieval, filtering, aggregation, and dissemination via social platforms and mining data consortiums. A broad distinction of the two themes is that the first theme refers to data that contain textual content and involve some amount of text processing while the second theme refers mostly to structured data. The discussion proceeds by providing a short description of each of the two themes and place them with respect to the state of the art. Advanced data-analysis techniques can then be applied to these datasets, either analyzing each dataset separately or performing joined analysis of appropriately selected subsets of datasets.

    Original languageEnglish
    JournalData Science Journal
    Volume12
    DOIs
    Publication statusPublished - 23 Jul 2013
    MoE publication typeA1 Journal article-refereed

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