Study On Time Series Data Mining Based On IDSS

With the development of database technology, the databases have increased not only in quantities but also in scales. The data always are related to time in many practical databases. Time series data is a series of observational data according to temporal sequence. Time series is very important and complicated data object. There are a lot of time series need to be further analyzed and processed in the all kinds of areas in society. Time series data mining is of great importance to development of society, science and technology and economy to the people. Research on time series data mining is one of important hot spots of data mining.Firstly, after the background, content and intention of this paper are clarified; status in quo of data mining and time series data mining are discussed, including research content, common ways, current research emphases and development trend.Secondly, time series trend analysis models in common use are introduced, whose illative process and applicability are also expatiated. And shortcomings of the existing ways are pointed out; necessity and feasibility that intelligent decision support system is introduced time series trend analysis are put forward.Thirdly, design thinking, design objective and general frame of time series trend analysis system based on intelligent decision support are analyzed.Fourthly, a time series trend analysis system based intelligent decision system is designed in detail from the point of human-computer interface, knowledge base, model base and machine learning.Lastly, validity and feasibility of time series trend analysis system based on intelligent decision support are proved by analyzing an actual time series and the experimental result.