Time Series Representation for Identification of Extremes
نویسندگان
چکیده
منابع مشابه
Time Series Representation for Identification of Extremes
Extracting information from the huge time series is a challenging task. Databases are prepared by keeping in mind the type of information required. Indexing a time series is a difficult task, where shape may not be exact. Finding the minima and maxima of the time series is another difficult job dependent on the expert’s subjectivity. In this information age algorithmic trading is the buzz word....
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با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند
Algorithms for Segmenting Time Series
As with most computer science problems, representation of the data is the key to ecient and eective solutions. Piecewise linear representation has been used for the representation of the data. This representation has been used by various researchers to support clustering, classication, indexing and association rule mining of time series data. A variety of algorithms have been proposed to obtain...
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This chapter studies the problem of time-series classification and presents an overview of recent developments in the area of feature extraction and information fusion. In particular, a recently proposed feature extraction algorithm, namely symbolic dynamic filtering (SDF), is reviewed. The SDF algorithm generates low-dimensional feature vectors using probabilistic finite state automata that ar...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17075-7515