International Business Machines Corporation

Tomasz P Kania

Tymoteusz Gedliczka

Szymon M Brandys

Piotr Grzywna

Krzysztof Pitula

Maciej Madej

Jaroslaw Jurowicz

Ewa Kilar

Andrzej W Laskawiec

Wojciech A Wojcik

Jacek Dolega

Krzysztof Porowski

A computer-implemented method, a computer program product, and a computer system for measuring relevance of datasets to data science models. One or more servers implement steps: extract keywords in each data science model; determine first relative frequencies of the respective keywords in each data science model, for each source group in the data science models; extract keywords in each dataset; determine second relative frequencies of the respective keywords in each dataset, for each source group in the datasets; determine weights of the keywords; calculate first aggregated relevant scores of the respective keywords in each data science model, based on the first relative frequencies and the weights; calculate second aggregated relevant scores of the respective keywords in each dataset, based on the second relative frequencies and the weights. One or more servers calculate similarity between vectors of the first and second aggregated relevant scores, based on a similarity measure between vectors.

Measuring relevance of datasets to a data science model

A computer-implemented method for quick data exploration of data to be uploaded may be provided. The method comprises uploading, from a local system, a first data set of a first size and determining that the first data set is not corrupted. The method also comprises in parallel to the uploading performing selecting from the first data set a predefined number of records and building a second data set, determining statistical data and metadata about the first data set, and visualizing the second data set, the statistical data and the metadata.

Quick data exploration

Technology for making corrections to URL and/or URI requests (herein generically referred to as 'UR requests') based on machine learning of patterns that can be gleaned from previously received UR requests. The patterns are then used to correct new UR requests that are received with errors in the resource location path. In some embodiments, the errors detected and corrected are path errors. In some embodiments the path error is an erroneous inclusion of an extraneous reserved slash ('/') character, which, when detected, is replaced in the UR string with its corresponding proper code (for example, - -%2F- -).

Correcting a URL within a REST API call

A computer-implemented method that can prevent an upload of a data set upon detection of a modification of the data set. The method includes storing a first portion of a file in a buffer while being in a receiving mode. Upon determining that applying one of a predefined transformation performed to the first portion of an existing data set will result in reproducing a content of the buffer: generating a transformation notification signal; and upon receiving a stop message, stopping the receiving mode which results in using the existing file on the server.

Preventing unnecessary upload

A computer-implemented method for loading data into a secure storage volume may be provided. The method comprises receiving data to be stored on the secure storage volume, storing the received data in a buffer, and upon determining that the secure storage volume is unlocked, transferring the received data from the buffer to the secure storage volume in encrypted form.

Buffering data until encrypted destination is unlocked

A verification check is performed for a configuration management database (CMDB) configuration item (CI), the CMDB CI being an information technology asset of a computing environment and being previously discovered as part of a CMDB CI discovery procedure for a CMDB system, and discovered on a hosting component hosting the CMDB CI. The discovery procedure provides configuration data associated with the CMDB CI, and the configuration data is stored as part of CMDB configuration information of the CMDB system. Performance of the verification check of the CMDB CI is tailored to the CMDB CI, and includes using the configuration data provided by the discovery procedure to target at least one inquiry to the hosting component, which may include an inquiry to the CMDB CI thereof. An updated status of the CMDB CI is determined based on performing the verification check.

Verifying configuration management database configuration items

Embodiments of the present invention provide automated systems and methods for selectively finding and deleting dormant data (out of data, inactive data) in a configuration management database (CMDB), or in a database which has similar characteristics. The method includes using a directed graph where each node of the directed graph represents a configuration item, and traversing the directed graph in order to determine inactive or dormant data, and all of the objects which depend on that data. Configuration items are deleted only when all of the other configuration items from which it depends contain dormant data.

Deleting configuration items in a configuration management database

Creating for a resource a representation including properties of the resource. Determining and analyzing defined naming rules for a configuration database, each naming rule including a naming rule identification, a priority and at least one attribute having an attribute name. For each naming rule applicable to the resource, extracting at least one attribute value for each attribute name from the resource representation. For each naming rule applicable to the resource, creating a complex identity object containing a naming rule identification and a list of attribute names and attribute values. For each created complex identity object, set an authority flag if a given provider is able to obtain a complete set of values for the attributes. Processing through each complex identity object according to priority of the corresponding naming rule. Generating an alias for each result of a Cartesian product of each attribute value of the list of attribute names.

Growing community of inventors

Tarnów, Poland

Tomasz P Kania