Methods, systems and computer code for finding outlier hyper cells in multidi-mentional hierachical data sets
AssigneeCvidya Networks Ltd.
InventorGad Solotorevsky
Life of this patent
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AssigneeCvidya Networks Ltd.
InventorGad Solotorevsky
Estimating the term…
A method and system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1,…xN} are provided. In some embodiments, the method is applied recursively where (i) in accordance with outlier ‘scores,’ hypercells of a hypcell set PGIVEN are categorized S201 as ‘likely-outlier’ or ‘winners’ while other hypercells are (at least initially) rejected as a set of losers; (ii) scores of hypercells of a subset of the initially rejected ‘losers’ are analyzed, and in accordance with these scores a subset of ‘winners of losers’ are selected S209; (iii) one-level extensions S213 of at least some hypercells of these ‘winners of losers’ are formed; (iv) a recession set S226 is formed where at least one ‘extension’ hypercell hc is included in the recusion set only if the hypercell is not a previously considered hypercell and/or a subcell of a previously categorized (and/or reported) as ‘outlier’ hypercell; (v) the aforementioned steps are repeated after setting PGIVEN to the recursion set. In some embodiments, the hypercells are indicative of discrepancies between measurements provided by two different metering systems.
1) A method of identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1, . . . xN}, the method comprising:
15) A system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1, . . . xN}, the system comprising:
Dependencies are inferred from the claim text.