Universidade de Pernambuco

Displaying 1-2 of 2 results

  • White Papers // Nov 2013

    MappingSets for Spatial Observation Data Warehouses

    The amount of time evolving spatial data that is currently being generated by automatic observation processes is huge. In general, observation data consists of both heterogeneous spatio-temporal data and relevant observation metadata. The former includes data of Spatial Entities (cities, roads, vehicles, etc.) and data of temporal evolution of both...

    Provided By Universidade de Pernambuco

  • White Papers // Apr 2009

    Symbolic Data Analysis Tools for Recommendation Systems

    Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, through actions or rates, Computational Recommendation Systems use information filtering techniques to recommend items. In order to recommend new items, one of the three...

    Provided By Universidade de Pernambuco

  • White Papers // Apr 2009

    Symbolic Data Analysis Tools for Recommendation Systems

    Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, through actions or rates, Computational Recommendation Systems use information filtering techniques to recommend items. In order to recommend new items, one of the three...

    Provided By Universidade de Pernambuco

  • White Papers // Nov 2013

    MappingSets for Spatial Observation Data Warehouses

    The amount of time evolving spatial data that is currently being generated by automatic observation processes is huge. In general, observation data consists of both heterogeneous spatio-temporal data and relevant observation metadata. The former includes data of Spatial Entities (cities, roads, vehicles, etc.) and data of temporal evolution of both...

    Provided By Universidade de Pernambuco