[PDF.97if] Applications of Mining Massive Time Series Data

Applications of Mining Massive Time Series Data

[PDF.mi10] Applications of Mining Massive Time Series Data

Applications of Mining Massive  Mohammad Shokoohi-Yekta, Eamonn Keogh epub
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 | #6510448 in Books |  2015-08-31 |  2015-08-31 | Original language:English | PDF # 1 |  8.66 x.28 x5.91l,.42 | File type: PDF | 124 pages

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||0 of 0 people found the following review helpful.| Lovely book on time series analysis|By Ultimate Snug|very useful book on the topic of time series analysis. I love the applied examples provided by the authors, all real world applications.|About the Author|Mohammad is currently a Data Scientist at Apple in Cupertino, California. He earned his PhD in CS from the University of California, Riverside in 2015.Dr. Keogh is a professor of CS at UC Riverside. He is ranked among the top research leaders in

The ability to make predictions about future events is at the heart of much of science; so, it is not surprising that prediction has been a topic of great interest in the data mining community for the last decade. We believe the reason why rule discovery in real-valued time series has failed thus far is because most efforts have more or less indiscriminately applied the ideas of symbolic stream rule discovery to real-valued rule discovery. We feel that the lack of progre...

You easily download any file type for your device.Applications of Mining Massive Time Series Data   |  Mohammad Shokoohi-Yekta, Eamonn Keogh.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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