Intuit, Inc.

Don Emmanuel Bernal

Gang Wang

Thirugnanam Subbiah

Kenneth W Hanscom

Raghunath Battula

Kishore Nene

Charles Richard Honton

Tarek Rabbani

Siddhartha Misra

David L Henry

A method and system of identifying account duplication in data management systems utilizes a dual-phase approach, consisting of a projection phase and a clustering phase. In the projection phase, user account and transaction data is obtained and grouped into transactions entities. These transactions entities are then processed to create transactions entity projections. In the clustering phase, the transactions entity projections are grouped and aggregated according to specified parameters, which results in the generation of transactions graphs. The data from the transactions graphs is processed and analyzed to generate reliable indicators representing the presence or absence of account duplication in a data management system.

Method and system for identifying account duplication in data management systems

Embodiments of a computer system, a method and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may allow users to create or maintain (including repair and validation), which collect user information from a web page. In particular, using a web browser extension, one or more users' actions while navigating or interacting with the web page are captured. This captured user-action information may specify the layout of the web page, including data locations and/or types of data. Then, using the captured user-action information, a new scraping script can be generated or, based at least in part on determined changes to the web page, an existing scraping script can be maintained.

Generating a script based on user actions

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San Carlos, CA, United States of America

Don Emmanuel Bernal