scispace - formally typeset
Search or ask a question
Institution

Visa Inc.

CompanyLondon, United Kingdom
About: Visa Inc. is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Database transaction & Transaction data. The organization has 1031 authors who have published 1076 publications receiving 36053 citations. The organization is also known as: Visa & Visa Inc.


Papers
More filters
Patent
02 Jan 2020
TL;DR: In this paper, a machine learning model of a unified smart connector is applied to the data in order to create modeled data, and an operation status can be determined based on the modeled data and the unified smart connecter can independently determine if additional data is needed, the type of data needed, and the source of the data.
Abstract: Techniques are provided for centrally analyzing data in a cloud environment. Data can be received from a cloud provider and a machine learning model of a unified smart connector is applied to the data in order to create modeled data. An operation status can be determined based on the modeled data and the unified smart connecter can independently determine, for example, if additional data is needed, the type of data needed, and the source of the data.
Patent
George Perry1, Margaret Szeto, Jaesung Park, Kellen Mannion, Yobel Muchang 
02 Jun 2017
TL;DR: In this article, the authors present a method of displaying available payment device accounts with an application on a mobile device without requiring a password from a user, which can be seen as more secure as other methods and systems as the user does not have to log into the actual application itself, which may contain sensitive information.
Abstract: Embodiments of the invention are directed to a method of quickly displaying available payment device accounts with an application on a mobile device without requiring a password from a user. In one embodiment, information displayed includes available balances and rewards associated with the payment device accounts. Embodiments of the invention allow a user to quickly see this information without having to enter his or her authentication credentials each and every time this information is needed. Embodiments of the invention can also be seen as more secure as other methods and systems as the user does not have to log into the actual application itself, which may contain sensitive information.
Patent
05 May 2016
TL;DR: In this article, a computing apparatus including a processing system to process a predetermined type of operations using a predetermined communication protocol on a first network connecting a terminal in a first geographical region and a resource controller in a second geographical region; a communication portal to communicate using a second network; and a data store coupled with the processing system.
Abstract: A computing apparatus including: a processing system to process a predetermined type of operations using a predetermined communication protocol on a first network connecting a terminal in a first geographical region and a resource controller in a second geographical region; a communication portal to communicate using a second network; and a data store coupled with the processing system. The communication portal communicates via the second network with the mobile device to establish, in the data store, a resource correlation record associating a first resource controlled by the resource controller in the second geographical region with a second resource. The resource correlation record includes locale dependent parameters. In response to a communication initiated in the terminal for an operation of the predetermined type using the first resource, the processing system applies the second resource to the operation in accordance with the resource correlation record using at least the locale dependent parameters.
Patent
Hagey Ryan1, Howe Justin
04 Oct 2018
TL;DR: In this paper, a methodology for processing authorization request messages based on proximate wireless networks is presented, in which a computer may receive, from an access device or a communication device, an authorization request message in a transaction.
Abstract: A methodology for processing authorization request messages based on proximate wireless networks is disclosed. In particular, a computer may receive, from an access device or a communication device, an authorization request message in a transaction. The computer may then obtain network data based on a set of wireless networks that are proximate to the access device or the communication device interacting with the access device during the transaction. Next, the computer may determine a difference between the network data and previous network data, wherein the previous network data is based on one or more previous sets of wireless networks that were proximate to the access device or the communication device during one or more previous transactions. Responsive to determining that the difference exceeds threshold, the computer may initiate one or more actions associated with the transaction.
Patent
21 Nov 2019
TL;DR: In this article, a method for classifying information technology (IT) service request messages using a neural network algorithm is presented. But the method is not suitable for the classification of the IT service request message.
Abstract: Provided is a method for classifying information technology (IT) service request messages. The method may include receiving data associated with an IT service request message, determining a plurality of number values associated with a plurality of characters included in the IT service request message, generating a vector that includes index values, generating a first bitmap based on generating the vector, generating a second bitmap based on the first bitmap, where the second bitmap has a first dimension and a second dimension, and where the first dimension and the second dimension are equal, and determining a classification of the IT service request message using a neural network algorithm. A system and computer program product are also disclosed.

Authors

Showing all 1032 results

NameH-indexPapersCitations
Ayman Hammad431156489
Mark Carlson421145417
Patrick Faith391015800
Selim Aissi31872974
Lisa J. Anderson31726418
Payman Mohassel281053784
Kevin P. Siegel28393496
Patrick Stan25421915
Gyan Prakash251332053
Konstantinos Markantonakis242082697
Glenn Powell23311834
Leigh Amaro23232331
John F. Sheets21411968
Edward W. Fordyce20232222
Krishna Prasad Koganti19231284
Network Information
Related Institutions (5)
Adobe Systems
8K papers, 214.7K citations

77% related

German Research Centre for Artificial Intelligence
3.9K papers, 75.2K citations

77% related

NICTA
2.5K papers, 79.8K citations

76% related

Hasso Plattner Institute
2.7K papers, 58.1K citations

76% related

Swedish Institute of Computer Science
1.3K papers, 56K citations

76% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202137
2020138
2019118
201869
201761