The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 15, 2021

Filed:

Nov. 29, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Sami Abed, Rathfarnham, IE;

Pedro Barbas, Dunboyne, IE;

Austin Clifford, Glenageary, IE;

Konrad Emanowicz, Dublin, IE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 16/174 (2019.01); G06F 16/22 (2019.01); G06F 16/27 (2019.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/1744 (2019.01); G06F 16/221 (2019.01); G06F 16/24578 (2019.01); G06F 16/278 (2019.01); G06N 20/00 (2019.01);
Abstract

Disclosed is an approach comprising a column partitioned into a plurality of partitions including an empty partition and a plurality of filled partitions each comprising data entries associated with a set of parameters having parameter values, the data entries compressed in accordance with a compression dictionary. The approach comprises receiving forecasted parameter values for an expected set of data entries to be stored in an empty partition; predicting a recurrence frequency of the data entries in the expected set using the forecasted parameter values by evaluating the respective compression dictionaries of the filled partitions with a machine learning algorithm; generating a predictive compression dictionary for the expected set of data entries based on the predicted recurrence frequency of the data entries in the expected set; receiving the expected set of data entries; and compressing at least part of the received expected set of data entries using the predictive compression dictionary.


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