Patent ID: 6230064
Filing Date: 2001-05-08
Classification: G06Q

Abstract:
An apparatus for analyzing time series data for a plurality of items, the time series data for each item consisting of values of variable arranged by a unit of a predetermined period, comprising:characteristic part extraction means for extracting a characteristic change part of each item from each of a plurality of the time series data, each for the plurality of items, and for converting the characteristic change part to an event including an event name, a start time and a continuous time representing the characteristic change part, a first event of one item and a second event of another item for each time series data being an event pair; andassociation rule extraction means for calculating for each event a distribution of the continuous time of each event for the same event name in each event pair, for calculating a distribution of the start time of one event for the same event name in each event pair if the each distribution of the continuous time satisfies a first standard, for calculating a distribution of a difference of the start time between the first event and the second event in each event pair if the distribution of the start time satisfies a second standard, and for determining the same event name and the difference of the start time as an association rule representing a tendency between the first event and the second event if the distribution of the difference of the start time satisfies a third standard.