Invention Grant
- Patent Title: Scalable identification of duplicate datasets in heterogeneous datasets
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Application No.: US17805134Application Date: 2022-06-02
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Publication No.: US11886385B2Publication Date: 2024-01-30
- Inventor: Praduemn K. Goyal , Sandeep Hans , Samiulla Zakir Hussain Shaikh , Diptikalyan Saha
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent Daniel G. DeLuca
- Main IPC: G06F16/174
- IPC: G06F16/174 ; G06F16/14 ; G06F16/16 ; G06F18/22

Abstract:
An embodiment for identifying and sorting duplicate datasets within a large pool of heterogeneous datasets may include received a plurality of heterogeneous datasets. The embodiment may automatically compare schema information and metadata within each of the received plurality of heterogeneous datasets to generate name-based similarity scores for each dataset. The embodiment may also automatically compare data distribution information within each of the received plurality of heterogeneous datasets to generate a plurality of data distribution similarity scores for each heterogeneous dataset. The embodiment may further include automatically calculating an overall distance metric using the name-based similarity scores and plurality of data distribution similarity scores. The embodiment may also include based on the calculate overall distance metric, automatically generating distance graphs that identifying clusters of similar datasets and illustrate inferred lineage for the clusters of similar datasets.
Public/Granted literature
- US20230394011A1 SCALABLE IDENTIFICATION OF DUPLICATE DATASETS IN HETEROGENEOUS DATASETS Public/Granted day:2023-12-07
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