TIME SEQUENTIAL DATA COLLATING DEVICE

摘要

PURPOSE:To mutually collate at least two time sequential data strings or more by absorbing a difference between respective time axes. CONSTITUTION:A data normalizing part 1 inputs stock price data and removes a bias component of the stock price data to normalize the data. The stock price data normalized by removing the bias component are stored in an input buffer part 2. An imbedded Markov model preparing part 3 receives stock price data desired to be reference from an input buffer part 2 and prepares model data. An embedded Markov model estimating part 4 receives stock price data to be collated from the buffer part 2, receives the model data from the preparing part 3 and calculates the output probability of each model data. A data analyzing part 5 analyzes the output probability and outputs its analytical result. An output part 6 receives the analytical result from the analyzing part 5 and outputs the received data by a format to be easily judged by human.