METHOD AND SYSTEM FOR TIME SERIES VISUAL ANALYSIS AND PATTERN SEARCH

摘要

A method and system providing the ability to visually explore temporal data, to identify and tag patterns, and to conduct proximity searches for similar patterns across different data sets, dimensions and/or hierarchical levels. Time series patterns manifest themselves at different levels of aggregation. In one embodiment of the invention, the proximity search parameters are derived from an aggregate level trend and are algorithmically adjusted to find matching patterns within detailed records. Further, the method includes means to traverse time series data, to select subsets of time sequences, and to evaluate statistically the said subsets for proximity to the original time sequence. The method and system provide means to connect and browse temporal data in databases, applications, files, and real-time data streams, to monitor for time-series patterns, and to generate event based alerts. It further includes a metadata based knowledge repository for time series patterns and means for collaborative time-series analysis.