Patents by Inventor Joyce Jeanpin Wang
Joyce Jeanpin Wang 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: 8874549Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: October 28, 2014Assignee: Oracle OTC Subsidiary LLCInventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8832140Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: September 9, 2014Assignee: Oracle OTC Subsidiary LLCInventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Herng Albert Sheu
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Patent number: 8655869Abstract: A data-driven information navigation system and method enable search and analysis of a set of objects or other materials by certain common attributes that characterize the materials, as well as by relationships among the materials. The invention includes several aspects of a data-driven information navigation system that employs this navigation mode. The navigation system of the present invention includes features of a knowledge base, a navigation model that defines and enables computation of a collection of navigation states, a process for computing navigation states that represent incremental refinements relative to a given navigation state, and methods of implementing the preceding features.Type: GrantFiled: September 12, 2011Date of Patent: February 18, 2014Assignee: Oracle OTC Subsidiary LLCInventors: Adam J. Ferrari, Frederick C. Knabe, Vinay S. Mohta, Jason P. Myatt, Benjamin S. Scarlet, Daniel Tunkelang, John S. Walter, Joyce Jeanpin Wang, Michael Tucker
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Patent number: 8560529Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: July 25, 2011Date of Patent: October 15, 2013Assignee: Oracle OTC Subsidiary LLCInventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir V. Zelevinsky
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Patent number: 8527515Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: November 7, 2011Date of Patent: September 3, 2013Assignee: Oracle OTC Subsidiary LLCInventors: Vladimir V. Zelevinsky, Omri Traub, Vladimir Gluzman Peregrine, Daniel Tunkelang, Joyce Jeanpin Wang
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Publication number: 20120197877Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: July 25, 2011Publication date: August 2, 2012Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8219593Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: July 10, 2012Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Joshua William Kapell
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Publication number: 20120124032Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: November 7, 2011Publication date: May 17, 2012Inventors: Vladimir V. Zelevinsky, Omri Traub, Vladimir Gluzman Peregrine, Daniel Tunkelang, Joyce Jeanpin Wang
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Patent number: 8051084Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: November 1, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Paul Alexander Wehner
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Patent number: 8051073Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: November 1, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8024327Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: September 20, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8005643Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: August 23, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006385Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Paul Alexander Wehner
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Publication number: 20090006383Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006386Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006387Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Herng Albert Sheu
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Publication number: 20090006438Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Joshua William Kapell
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Publication number: 20090006382Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006384Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky