Patents by Inventor Boriana Milenova
Boriana Milenova 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).
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Patent number: 11500365Abstract: Disclosed is an approach to implement improved anomaly detection. Improved anomaly detection is provided using MSET-SPRT via Monte Carlo simulation that can address problems with conventional MSET-SPRT approaches and provide improved system performance and accuracy.Type: GrantFiled: September 14, 2020Date of Patent: November 15, 2022Assignee: Oracle International CorporationInventors: Joe Yarmus, Boriana Milenova
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Patent number: 11288297Abstract: Approaches for large-scale classification and text summarization. In one embodiment, for example, the approach for large-scale classification includes predicting relevant classes of a new unseen case based on a classification model that is learned from a given knowledge base comprising labeled training data items. In another embodiment, for example, the approach for text summarization includes repurposing explicit semantic analysis (ESA) techniques for computing a text summary of a given text document.Type: GrantFiled: November 29, 2017Date of Patent: March 29, 2022Assignee: Oracle International CorporationInventors: Boriana Milenova, Alexander Sakharov
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Publication number: 20210080939Abstract: Disclosed is an approach to implement improved anomaly detection. Improved anomaly detection is provided using MSET-SPRT via Monte Carlo simulation that can address problems with conventional MSET-SPRT approaches and provide improved system performance and accuracy.Type: ApplicationFiled: September 14, 2020Publication date: March 18, 2021Applicant: Oracle International CorporationInventors: Joe YARMUS, Boriana MILENOVA
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Publication number: 20190163817Abstract: Approaches for large-scale classification and text summarization. In one embodiment, for example, the approach for large-scale classification includes predicting relevant classes of a new unseen case based on a classification model that is learned from a given knowledge base comprising labeled training data items. In another embodiment, for example, the approach for text summarization includes repurposing explicit semantic analysis (ESA) techniques for computing a text summary of a given text document.Type: ApplicationFiled: November 29, 2017Publication date: May 30, 2019Inventors: Boriana Milenova, Alexander Sakharov
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Patent number: 8775466Abstract: A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationshipsType: GrantFiled: May 1, 2013Date of Patent: July 8, 2014Assignee: Oracle International CorporationInventors: Pablo Tamayo, Mark Hornick, Marcos C. Campos, Boriana Milenova
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Patent number: 8732534Abstract: An incident predictor system is described herein for predicting impactful incidents in which server computer system operations fail or perform poorly. According to one embodiment of the invention, the incident prediction system trains a generalized linear model (GLM) to predict when a system health indicator will reach a level that represents an incident for the server system.Type: GrantFiled: September 16, 2011Date of Patent: May 20, 2014Assignee: Oracle International CorporationInventors: Prashanth Kini, Richard Tauriello, Marcos M. Campos, Boriana Milenova, Charlie Sum, Mihaela Dediu, Kevin Timoney
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Publication number: 20130246319Abstract: A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationshipsType: ApplicationFiled: May 1, 2013Publication date: September 19, 2013Applicant: Oracle International CorporationInventors: Pablo Tamayo, Mark Hornick, Marcos C. Campos, Boriana Milenova
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Patent number: 8458530Abstract: A method is provided for detecting when users are being adversely impacted by poor system performance. A system health indicator is determined that is based on the amount of work that is blocked waiting for each of a set of an external events and combined with a heuristic that is based on the number of users waiting for the work to complete. The system health indicator is compared to a threshold such that an alert is generated when the system health indicator crosses the threshold. However, the system health indicator is designed so that an alert is only generated when a significant user base is or will in the near future experience a problem with the system. Furthermore, the system health indicator is designed to vary smoothly to maintain its suitability for the application of predictive technology.Type: GrantFiled: September 21, 2010Date of Patent: June 4, 2013Assignee: Oracle International CorporationInventors: Prashanth Kini, Richard Tauriello, Marcos M. Campos, Boriana Milenova, Andres V. Lubomirsky, Charlie Sum
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Publication number: 20120072780Abstract: A method is provided for detecting when users are being adversely impacted by poor system performance. A system health indicator is determined that is based on the amount of work that is blocked waiting for each of a set of an external events and combined with a heuristic that is based on the number of users waiting for the work to complete. The system health indicator is compared to a threshold such that an alert is generated when the system health indicator crosses the threshold. However, the system health indicator is designed so that an alert is only generated when a significant user base is or will in the near future experience a problem with the system. Furthermore, the system health indicator is designed to vary smoothly to maintain its suitability for the application of predictive technology.Type: ApplicationFiled: September 21, 2010Publication date: March 22, 2012Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Prashanth Kini, Richard Tauriello, Marcos M. Campos, Boriana Milenova, Andres V. Lubomirsky, Charlie Sum
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Publication number: 20120072781Abstract: An incident predictor system is described herein for predicting impactful incidents in which server computer system operations fail or perform poorly. According to one embodiment of the invention, the incident prediction system trains a generalized linear model (GLM) to predict when a system health indicator will reach a level that represents an incident for the server system.Type: ApplicationFiled: September 16, 2011Publication date: March 22, 2012Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Prashanth Kini, Richard Tauriello, Marcos M. Campos, Boriana Milenova, Charlie Sum, Mihaela Dediu, Kevin Timoney
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Publication number: 20090276403Abstract: A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationshipsType: ApplicationFiled: November 26, 2008Publication date: November 5, 2009Inventors: Pablo Tamayo, Mark Hornick, Marcos M. Campos, Boriana Milenova
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Publication number: 20060218132Abstract: A system and computer program product provides data mining model deployment (scoring) functionality as a family of SQL functions (operators). A database management system comprises a processor operable to execute computer program instructions, a memory operable to store computer program instructions executable by the processor, and computer program instructions stored in the memory and executable to implement a plurality of database query language statements, each statement operable to cause a data mining function to be performed.Type: ApplicationFiled: March 25, 2005Publication date: September 28, 2006Inventors: Denis Mukhin, Boriana Milenova, Peter Stengard, Ramkumar Krishnan, Marcos Campos, Ari Mozes
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Publication number: 20060136462Abstract: A data-centric data mining technique provides greater ease of use and flexibility, yet provides high quality data mining results by providing general methodologies for automatic data mining. A methodology for each major type of mining function is provided, including: supervised modeling (classification and regression), feature selection, and ranking, clustering, outlier detection, projection of the data to lower dimensionality, association discovery, and data source comparison.Type: ApplicationFiled: December 16, 2004Publication date: June 22, 2006Inventors: Marcos Campos, Boriana Milenova, Peter Stengard
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Publication number: 20050246354Abstract: An implementation of NMF functionality integrated into a relational database management system provides the capability to apply NMF to relational datasets and to sparse datasets. A database management system comprises a multi-dimensional data table operable to store data and a processing unit operable to perform non-negative matrix factorization on data stored in the multi-dimensional data table and to generate a plurality of data tables, each data table being smaller than the multi-dimensional data table and having reduced dimensionality relative to the multi-dimensional data table. The multi-dimensional data table may be a relational data table.Type: ApplicationFiled: August 27, 2004Publication date: November 3, 2005Inventors: Pablo Tamayo, George Tang, Mark McCracken, Mahesh Jagannath, Marcos Campos, Boriana Milenova, Joseph Yarmus, Pavani Kuntala
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Publication number: 20050050087Abstract: An implementation of SVM functionality integrated into a relational database management system (RDBMS) improves efficiency, time consumption, and data security, reduces the parameter tuning challenges presented to the inexperienced user, and reduces the computational costs of building SVM models. A database management system comprises data stored in the database management system and a processing unit comprising a client application programming interface operable to provide an interface to client software, a build unit operable to build a support vector machine model on at least a portion of the data stored in the database management system, and an apply unit operable to apply the support vector machine model using the data stored in the database management system. The database management system may be a relational database management system.Type: ApplicationFiled: August 27, 2004Publication date: March 3, 2005Inventors: Boriana Milenova, Joseph Yarmus, Marcos Campos, Mark McCracken
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Publication number: 20050049990Abstract: An implementation of SVM functionality improves efficiency, time consumption, and data security, reduces the parameter tuning challenges presented to the inexperienced user, and reduces the computational costs of building SVM models. A system for support vector machine processing comprises data stored in the system, a client application programming interface operable to provide an interface to client software, a build unit operable to build a support vector machine model on at least a portion of the data stored in the system, based on a plurality of model-building parameters, a parameter estimation unit operable to estimate values for at least some of the model-building parameters, and an apply unit operable to apply the support vector machine model using the data stored in the system.Type: ApplicationFiled: August 27, 2004Publication date: March 3, 2005Inventors: Boriana Milenova, Joseph Yarmus, Marcos Campos, Mark McCracken