DATASET RELEVANCE ESTIMATION IN STORAGE SYSTEMS

    公开(公告)号:US20190243546A1

    公开(公告)日:2019-08-08

    申请号:US16390214

    申请日:2019-04-22

    IPC分类号: G06F3/06

    摘要: The invention is notably directed to computer-implemented methods and systems for managing datasets in a storage system. In such systems, it is assumed that a (typically small) subset of datasets are labeled with respect to their relevance, so as to be associated with respective relevance values. Essentially, the present methods determine, for each unlabeled dataset of the datasets, a respective probability distribution over a set of relevance values. From this probability distribution, a corresponding relevance value can be obtained. This probability distribution is computed based on distances (or similarities), in terms of metadata values, between said each unlabeled dataset and the labeled datasets. Based on their associated relevance values, datasets can then be efficiently managed in a storage system.

    Dataset relevance estimation in storage systems

    公开(公告)号:US10592147B2

    公开(公告)日:2020-03-17

    申请号:US15660434

    申请日:2017-07-26

    IPC分类号: G06F16/30 G06F3/06

    摘要: The invention is notably directed to computer-implemented methods and systems for managing datasets in a storage system. In such systems, it is assumed that a (typically small) subset of datasets are labeled with respect to their relevance, so as to be associated with respective relevance values. Essentially, the present methods determine, for each unlabeled dataset of the datasets, a respective probability distribution over a set of relevance values. From this probability distribution, a corresponding relevance value can be obtained. This probability distribution is computed based on distances (or similarities), in terms of metadata values, between said each unlabeled dataset and the labeled datasets. Based on their associated relevance values, datasets can then be efficiently managed in a storage system.

    DATASET RELEVANCE ESTIMATION IN STORAGE SYSTEMS

    公开(公告)号:US20190034083A1

    公开(公告)日:2019-01-31

    申请号:US15660434

    申请日:2017-07-26

    IPC分类号: G06F3/06

    摘要: The invention is notably directed to computer-implemented methods and systems for managing datasets in a storage system. In such systems, it is assumed that a (typically small) subset of datasets are labeled with respect to their relevance, so as to be associated with respective relevance values. Essentially, the present methods determine, for each unlabeled dataset of the datasets, a respective probability distribution over a set of relevance values. From this probability distribution, a corresponding relevance value can be obtained. This probability distribution is computed based on distances (or similarities), in terms of metadata values, between said each unlabeled dataset and the labeled datasets. Based on their associated relevance values, datasets can then be efficiently managed in a storage system.