Versata Development Group, Inc.

Rohit M Namjoshi

Neeraj Gupta

Ryan A Cush

Kevin Brannon

Thomas E Rowe

David Wayne Franke

Nirad Sharma

A proxy data augmentation system and method intelligently augments digital information sets with proxy data using analytical processing technology. The proxy data system and method identifies fields in a digital information set that are candidates for modification using proxy data. After identifying a candidate field, an analytical process is invoked to evaluate a context of the candidate field. In one embodiment, once the context and at least one other parameter associated with the digital information set are evaluated, the proxy data augmentation system and method can determine appropriate proxy data to populate the candidate field and modify the digital information set with the determined proxy data. The modified document can then be sent to a recipient data processing system. Additionally, the digital information set submitting and/or recipient data processing system can be notified of the existence and identification of the proxy data.

Augmentation and processing of digital information sets using proxy data

A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that is stored in a database. The extracting frequent pattern information from the database using frequent pattern growth techniques, a compact frequent pattern tree data structure efficiently holds frequent pattern information for multiple transactions having one or more items in each transaction. Frequent pattern data is transformed for ease of use with rule generation algorithms by removing redundant information (such as part group items) or by consolidating items corresponding to a part group and replacing those items with a proxy item for purposes of power set generation.

Attribute based association rule mining

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Austin, TX, United States of America

Rohit M Namjoshi