Patent ID: 7426510
Filing Date: 2008-09-16
Classification: G06F,Y10S

Abstract:
1. A method for categorizing data, comprising: extracting features from binary data; comparing the extracted features with a predetermined set of features; and categorizing the binary data based, at least in part, on the comparison; wherein use of the binary data provides for language-independent and format-independent categorization; wherein the predetermined set of features is generated by processing exemplary data associated with a corpus category and an anti-corpus category, the corpus category including target data and the anti-corpus category including non-target data; wherein the processing includes extracting features from the exemplary data from both the corpus category and the anti-corpus category; wherein the processing includes counting a first set of numbers of instances of the features existing in the exemplary data in the corpus category, and a second set of numbers of instances of the features existing in the exemplary data in the anti-corpus category; wherein the processing includes calculating a probability associated with each of the features existing in the exemplary data in both the corpus category and the anti-corpus category, utilizing the first set of numbers of instances and the second set of numbers of instances; wherein the processing includes calculating a weighted probability associated with each of the features existing in the exemplary data in both the corpus category and the anti-corpus category.