Patents by Inventor Medha Shewale

Medha Shewale has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods and systems to efficiently find similar and near-duplicate emails and files
    Patent number: 10083176
    Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: September 25, 2018
    Assignee: Veritas Technologies LLC
    Inventors: Malay Desai, Medha Shewale, Venkat Rangan
  • Methods and systems to efficiently find similar and near-duplicate emails and files
    Patent number: 9275129
    Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.
    Type: Grant
    Filed: February 16, 2011
    Date of Patent: March 1, 2016
    Assignee: Symantec Corporation
    Inventors: Malay Desai, Medha Shewale, Venkat Rangan
  • METHODS AND SYSTEMS TO EFFICIENTLY FIND SIMILAR AND NEAR-DUPLICATE EMAILS AND FILES
    Publication number: 20120209853
    Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.
    Type: Application
    Filed: February 16, 2011
    Publication date: August 16, 2012
    Applicant: Clearwell Systems, inc.
    Inventors: Malay Desai, Medha Shewale, Venkat Rangan