07483934 is referenced by 9 patents and cites 8 patents.

An exemplary method for computing correlation anomaly scores, including, defining a first similarity matrix for a target run of data, the target run of data includes an N number of sensors, defining a second similarity matrix for a reference run of data, the target run of data includes the N number of sensors, developing a k-neighborhood graph Ni of the i-th node for the target run of data, wherein the k-neighborhood graph of the i-th node is defined as a graph comprising the i-th node and its k-nearest neighbors (NN), developing a k-neighborhood graph Ni of the i-th node for the reference run of data, defining a probability distribution p(j|i), wherein p(j|i) is the probability that the j-th node becomes one of the k-NN of the i-th node, coupling the probability between the i-th node and the neighbors of the i-th node, determining an anomaly score of the i-th node, and determining whether the target run of data has changed from the reference run of data responsive to determining the anomaly score of the i-th node.

Title
Methods involving computing correlation anomaly scores
Application Number
11/959073
Publication Number
7483934 (B1)
Application Date
December 18, 2007
Publication Date
January 27, 2009
Inventor
Spyridon Papadimitriou
White Plains
NY, US
Tsuyoshi Ide
Kanagawa
JP
Agent
Vazken Alexanian
Cantor Colburn
Assignee
International Busniess Machines Corporation
NY, US
IPC
G06F 17/15
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