Systems and methods for identifying anomalous data in large structured data sets and querying the data sets
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United States of America Patent
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May 8, 2018
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app pub date -
Apr 3, 2014
filing date -
Apr 3, 2013
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Abstract
The technology disclosed relates to automatic generation of tuples from a record set for outlier analysis. Applying this new technology, user need not specify which 1-tuples to combine into n-tuples. The tuples are generated from structured records organized into features (that also could be fields, objects or attributes.) Tuples are generated from combinations of feature values in the records. Thresholding is applied to manage the number of tuples generated. The technology disclosed further relates to indexing and searching high dimensional tuple spaces in a computer-implemented system.
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