The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 27, 2013
Filed:
May. 25, 2010
Scott Charles Evans, Burnt Hills, NY (US);
Abha Moitra, Scotia, NY (US);
Thomas Stephen Markham, Niskayuna, NY (US);
Steven Matt Gustafson, Niskayuna, NY (US);
Scott Charles Evans, Burnt Hills, NY (US);
Abha Moitra, Scotia, NY (US);
Thomas Stephen Markham, Niskayuna, NY (US);
Steven Matt Gustafson, Niskayuna, NY (US);
NBCUniversal Media, LLC, New York, NY (US);
Abstract
A method and system for web mining and clustering is described. The method includes receiving and dividing input data into a plurality of primitive datasets. Additionally, one or more combinations of the plurality of primitive datasets may be created. Further, a model for each primitive dataset in the plurality of primitive datasets and each of the one or more combinations of the plurality of primitive datasets may be generated. Subsequently, a cost associated with a model corresponding to each primitive dataset in the plurality of primitive datasets, and each of the one or more combinations of the plurality of primitive datasets may be computed. Further, a sum of the costs associated with the models corresponding to each primitive dataset in the plurality of primitive datasets may be compared with the cost associated with each model corresponding to each of the one or more combinations of the plurality of primitive datasets. Finally, the plurality of primitive datasets may be partitioned into one or more clusters based on the comparison of the costs such that each primitive dataset is a part of a cluster in the one or more clusters or a stand-alone primitive dataset.