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Mark Last - DataMining in Time Series Databases

Mark Last – DataMining in Time Series Databases

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Mark Last – DataMining in Time Series Databases

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Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery.

This manual examines state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the text also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

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Over the last 5 years we have helped over 5000 members save a great deal of money on buying online courses, By changing the internal values which are ​​more about member benefits, we have created a completely superior upgrade version with various features as well as the automatic system that surely will offer you a new different experience with more benefits , more time, and cost reduction. We definetely will do our best to help 20,000 community members save 80-100% on online courses over the next 20 to 50 years . Let’s start to see what we have.

 

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