International Business Machines Corporation

American Express Travel Related Services Company, Inc.

Hitachi Vantara Corporation

Io-tahoe Llc.

Winnie W Cheng

Abhijit Bose

Rohit Mahajan

Venkat Varadachary

Anthony Mavromatis

Alex Mylnikov

Benjamin Schulte

Tomoya Wada

Huiming Qu

Kendell Timmers

Wei Yin

Hao Zhou

Sambit Sahu

Yaoping Ruan

Lawrence David Bergman

James Randal Moulic

Milton H Hernandez

Hai Huang

Shu Tao

Robert Alan Flavin

Kumar Bhaskaran

Ravi B Konuru

Gengxin Miao

Shang Qing Guo

Daniela Rosu

Mithkal M Smadi

Dennis Anthony Perpetua, Jr

Laura Zaihua Luan

Sang Kyum Kim

The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Adjusting an entity graph based on entity relationship strength

A system and method for data entries deduplication are provided. The method includes indexing an input data set, wherein the input data set is in a tabular formant and the indexing includes providing a unique Row identifier (RowID), wherein rows are the data entries; computing attribute similarity for each column across each pair of rows; computing, for each pair of rows, row-to-row similarity as a weighted sum of attribute similarities; clustering pairs of rows based on their row-to-row similarities; and providing an output data set including at least the clustered pairs of rows.

Techniques for database entries de-duplication

A system and computer implemented method for cataloging database metadata using a signature matching process are provided. The method includes receiving an input name to be matched to a key in a seed table; generating a first fingerprint by decomposing the received input name into a first set n-grams; generating, based on the received input name, a second fingerprint using a predetermined pronunciation schema, wherein the second fingerprint is a phonetic fingerprint; generating a third fingerprint by decomposing the second fingerprint into a second set of n-grams; identifying a matching key by matching any combination of the first fingerprint, the second fingerprint, and the third fingerprint against keys in the seed table; and cataloging the metadata with the matching key as a tag.

Cataloging database metadata using a signature matching process

A method and system for tagging database columns are presented. The method includes receiving an input column name of at least one column in a database; performing signature matching of the input column name to contents of a seed table; determining a first confidence score for the signature matching; and tagging a matching value in the seed table as a tag for the input column name, when a first confidence score exceeds a first threshold value.

System and method for tagging database properties

A system and computer implemented method for cataloging database metadata using a probabilistic signature matching process are provided. The method includes receiving an input name to be matched to keys in a data corpus; dividing the received input name into a plurality of text segments; identifying a set of matching keys by matching each of the plurality text segments against keys in the data corpus; analyzing the set of matching keys to construct a tag; and cataloging the metadata with the matching key as the construct tag.

Cataloging database metadata using a probabilistic signature matching process

Access is obtained to a plurality of intermediately transformed electronic documents (with a plurality of sections and subsections) which have been transformed, by topical analysis and text summarization techniques, from a plurality of original electronic documents comprising at least some unstructured electronic documents. Audit and retrieval agent code is appended to the sections and subsections to create a plurality of finally transformed electronic documents. Users are allowed to access the finally transformed electronic documents. The users are provided with accountability reminders contemporaneous with the access. The access of the users to the sections and subsections of the finally transformed electronic documents is logged. An audit report is provided based on the logging. Also provided is a cloud service for enterprise-level sensitive data protection with variable data granularity, using one or more one guest virtual machine images.

Enterprise-level data protection with variable data granularity and data disclosure control with hierarchical summarization, topical structuring, and traversal audit

Systems and methods for dynamic construction of entity graphs

A system comprises a modeling component, a routing component, a simulator component and a configuration component. The modeling component is operative to obtain at least one model of at least one collaborative network. The routing component is operative to model at least one routing pattern for one or more nodes of a given collaborative network. The simulator component is operative to simulate one or more virtual network topologies of the given collaborative network using the at least one model and the at least one routing pattern. The configuration component is operative to configure one or more given virtual network topologies on the given collaborative network. The collaborative network comprises a plurality of nodes and one or more edges between pairs of the plurality of nodes. The modeling component, routing component, simulator component and configuration component are executed by at least one processing device.

Generating and evaluating expert networks

A method comprises obtaining a model of at least one collaborative network, modeling at least one routing pattern for one or more nodes of a given collaborative network, simulating one or more virtual network topologies of the given collaborative network using the at least one model and the at least one routing pattern, and configuring a given one of the one or more virtual network topologies on the given collaborative network. The given collaborative network comprises a plurality of nodes and one or more edges between pairs of the plurality of nodes. At least one of the obtaining, modeling, simulating and configuring steps are performed by a processor device.

Aspects of the present invention dynamically reduce a frequency at which IT infrastructure automatically generates alerts. Historical data across a plurality of data sources in the IT infrastructure is analyzed. An opportunity to reduce the frequency at which the IT infrastructure automatically generates the alerts is identified. A new alert policy addressing the opportunity to reduce alert frequency is generated. An impact of the new alert policy on a set of predefined service level objectives (SLOs) and service level agreements (SLAs) is evaluated. The new alert policy is deployed in the IT infrastructure.

Reduction of alerts in information technology systems

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Tarrytown, NY, United States of America

Winnie W Cheng