e04dfd73_UKAIS_2003__Abstracts__Title
[ID#] 82 [Author(s)] Branko Pecar [Abstract] The method developed and described in this paper departs from the traditional time series analysis approach. The starting premise is that any time series can be broken down into a number of characteristic cases, each of which potentially holds the key for indicating the value of the subsequent observation. The case that constitutes the beginning of the forecasting horizon (the reference case) is compared with all the past cases and the best case match is identified. The differences between the best historical case and the reference case are used for predicting the value through the forecasting horizon. This approach, generally considered to be a case based reasoning approach, preserves the dynamics and the texture of the original series. It enables development of a fully automated and computerised system, free of any models and assumptions. In addition to this, if coupled with the web services technology, it provides an ideal collaborative tool in a distributed environment. [Title] 
Automating Time Series Analysis - A Case-Based Reasoning Approach.
UKAIS 2003: Abstracts
Title