Patents by Inventor Rayid Ghani
Rayid Ghani 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).
-
Patent number: 10380351Abstract: Privacy is defined in the context of a guessing game based on the so-called guessing inequality. The privacy of a sanitized record, i.e., guessing anonymity, is defined by the number of guesses an attacker needs to correctly guess an original record used to generate a sanitized record. Using this definition, optimization problems are formulated that optimize a second anonymization parameter (privacy or data distortion) given constraints on a first anonymization parameter (data distortion or privacy, respectively). Optimization is performed across a spectrum of possible values for at least one noise parameter within a noise model. Noise is then generated based on the noise parameter value(s) and applied to the data, which may comprise real and/or categorical data. Prior to anonymization, the data may have identifiers suppressed, whereas outlier data values in the noise perturbed data may be likewise modified to further ensure privacy.Type: GrantFiled: January 6, 2014Date of Patent: August 13, 2019Assignee: Accenture Global Services LimitedInventors: Yaron Rachlin, Katharina Probst, Rayid Ghani
-
Patent number: 10176494Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: GrantFiled: June 4, 2015Date of Patent: January 8, 2019Assignee: Accenture Global Services LimitedInventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Patent number: 9460193Abstract: A search ranking system may include a context mining module to determine a set of contexts based on profile of information rankable by the system and an access history of users that have accessed at least some of the information. A context detection module may compare an association of a user conducting a search with one or more of the contexts to thereby rank search results based on the comparison.Type: GrantFiled: July 9, 2012Date of Patent: October 4, 2016Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Rayid Ghani, Divna Djordjevic, Chad M. Cumby
-
Publication number: 20150356591Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: ApplicationFiled: August 17, 2015Publication date: December 10, 2015Inventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Publication number: 20150348069Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: ApplicationFiled: August 13, 2015Publication date: December 3, 2015Inventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Publication number: 20150332374Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: ApplicationFiled: June 4, 2015Publication date: November 19, 2015Inventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Patent number: 9164973Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.Type: GrantFiled: September 8, 2014Date of Patent: October 20, 2015Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Divna Djordjevic, Rayid Ghani
-
Publication number: 20150278834Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: ApplicationFiled: June 4, 2015Publication date: October 1, 2015Inventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Patent number: 9015035Abstract: A generative model is used to develop at least one topic model and at least one sentiment model for a body of text. The at least one topic model is displayed such that, in response, a user may provide user input indicating modifications to the at least one topic model. Based on the received user input, the generative model is used to provide at least one updated topic model and at least one updated sentiment model based on the user input. Thereafter, the at least one updated topic model may again be displayed in order to solicit further user input, which further input is then used to once again update the models. The at least one updated topic model and the at least one updated sentiment model may be employed to analyze target text in order to identify topics and associated sentiments therein.Type: GrantFiled: July 10, 2012Date of Patent: April 21, 2015Assignee: Accenture Global Services LimitedInventors: Divna Djordjevic, Rayid Ghani, Marko Krema
-
Patent number: 8938386Abstract: When redacting natural language text, a classifier is used to provide a sensitive concept model according to features in natural language text and in which the various classes employed are sensitive concepts reflected in the natural language text. Similarly, the classifier is used to provide an utility concepts model based on utility concepts. Based on these models, and for one or more identified sensitive concept and identified utility concept, at least one feature in the natural language text is identified that implicates the at least one identified sensitive topic more than the at least one identified utility concept. At least some of the features thus identified may be perturbed such that the modified natural language text may be provided as at least one redacted document. In this manner, features are perturbed to maximize classification error for sensitive concepts while simultaneously minimizing classification error in the utility concepts.Type: GrantFiled: March 15, 2011Date of Patent: January 20, 2015Assignee: Accenture Global Services LimitedInventors: Chad Cumby, Rayid Ghani
-
Publication number: 20140380138Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.Type: ApplicationFiled: September 8, 2014Publication date: December 25, 2014Inventors: Divna DJORDJEVIC, Rayid Ghani
-
Patent number: 8862583Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.Type: GrantFiled: September 13, 2011Date of Patent: October 14, 2014Assignee: Accenture Global Services LimitedInventors: Divna Djordjevic, Rayid Ghani
-
Publication number: 20140249865Abstract: Methods and systems for processing claims (e.g., healthcare insurance claims) are described. For example, prior to payment of an unpaid claim, a prediction is made as to whether or not an attribute specified in the claim is correct. Depending on the prediction results, the claim can be flagged for an audit. Feedback from the audit can be used to update the prediction models in order to refine the accuracy of those models.Type: ApplicationFiled: May 16, 2014Publication date: September 4, 2014Applicant: Accenture Global Services LimitedInventors: Rayid Ghani, Leana R. Wallace, Michael S. Irish, Ajay K. Easo, Mohit Kumar, Zhu-Song Mei, Dmitriy Feferman, Nicholas F. Howell, Lindsey J. Lizardi, Laura J. Jantzen
-
Patent number: 8762180Abstract: Methods and systems for processing claims (e.g., healthcare insurance claims) are described. For example, prior to payment of an unpaid claim, a prediction is made as to whether or not an attribute specified in the claim is correct. Depending on the prediction results, the claim can be flagged for an audit. Feedback from the audit can be used to update the prediction models in order to refine the accuracy of those models.Type: GrantFiled: August 25, 2009Date of Patent: June 24, 2014Assignee: Accenture Global Services LimitedInventors: Rayid Ghani, Leana R Wallace, Michael S Irish, Ajay K Easo, Mohit Kumar, Zhu-Song Mei, Dmitriy Feferman, Nicholas F Howell, Lindsey J Lizardi, Laura J Jantzen
-
Publication number: 20140123304Abstract: Privacy is defined in the context of a guessing game based on the so-called guessing inequality. The privacy of a sanitized record, i.e., guessing anonymity, is defined by the number of guesses an attacker needs to correctly guess an original record used to generate a sanitized record. Using this definition, optimization problems are formulated that optimize a second anonymization parameter (privacy or data distortion) given constraints on a first anonymization parameter (data distortion or privacy, respectively). Optimization is performed across a spectrum of possible values for at least one noise parameter within a noise model. Noise is then generated based on the noise parameter value(s) and applied to the data, which may comprise real and/or categorical data. Prior to anonymization, the data may have identifiers suppressed, whereas outlier data values in the noise perturbed data may be likewise modified to further ensure privacy.Type: ApplicationFiled: January 6, 2014Publication date: May 1, 2014Applicant: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Yaron RACHLIN, Katharina PROBST, Rayid GHANI
-
Publication number: 20140114743Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: ApplicationFiled: December 27, 2013Publication date: April 24, 2014Applicant: Accenture Global Services LimitedInventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Publication number: 20140095466Abstract: General entity retrieval and ranking is described. A first set of documents is retrieved from one or more document repositories based on a query formed according to the topic. The first set of documents is characterized based on its first set of metadata values. One or more candidate entities are identified based on the first set of documents and the original query is thereafter augmented according to a candidate entity. The second set of documents resulting from the augmented query is then characterized in a similar manner. For each candidate entity, the first and second document set characterizations are compared to determine their degree of similarity. Increasingly similar document set characterizations indicates that the candidate entity is increasingly relevant to the original query. Repeating this process for each of the one or more candidate entities can give rise to rankings according to the respective degrees of similarity.Type: ApplicationFiled: December 5, 2013Publication date: April 3, 2014Inventors: Chad Michael Cumby, Katherine Probst, Rayid Ghani
-
Patent number: 8676730Abstract: Method and apparatus are provided for providing one or more sentiment classifiers from training data using supervised classification techniques based on features extracted from the training data. Training data includes a plurality of units such as, but not limited to, documents, paragraphs, sentences, and clauses. A feature extraction component extracts a plurality of features from the training data, and a feature value determination component determines a value for each extracted feature based on a frequency at which each feature occurs in the training data. On the other hand, a class labeling component labels each unit of the training data according to a plurality of sentiment classes to provide labeled training data. Thereafter, a sentiment classifier generation component provides a least one sentiment classifier based on the value of each extracted feature and the labeled training data using a supervised classification technique.Type: GrantFiled: July 11, 2011Date of Patent: March 18, 2014Assignee: Accenture Global Services LimitedInventors: Rayid Ghani, Marko Krema
-
Patent number: 8650075Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: GrantFiled: December 21, 2011Date of Patent: February 11, 2014Assignee: Acenture Global Services LimitedInventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema
-
Patent number: 8650079Abstract: A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).Type: GrantFiled: February 28, 2005Date of Patent: February 11, 2014Assignee: Accenture Global Services LimitedInventors: Andrew E. Fano, Chad M. Cumby, Rayid Ghani, Marko Krema