Patent ID: 6594622
Filing Date: 2003-07-15
Classification: G06F,G06K,G06Q

Abstract:
A method for predicting extreme changes in numeric time series data comprising the steps of:a) receiving a finite time series of data elements from said numeric time series data, said finite time series of data elements characterized as having one or more sharp changes in values; b) for each sharp change in said finite time series of data elements, extracting a window of elements from said finite time series of data elements that precedes each sharp change; c) building a matrix from said finite time series window extracts; d) performing singular value decomposition on said built matrix to obtain characteristic vectors; and, e) obtaining a set of symbols from resulting characteristic vectors determined from said step d), wherein said resulting set of symbols are used by a forecasting algorithm to predict a future sharp change in subsequent finite numeric time series data received.