Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analyzing Multiple Time Series: Learning and Monitoring Complex Patterns

Analyzing Multiple Time Series: Learning and Monitoring Complex Patterns

Ravishanker, Nalini
Reis, Marco S.
Kenett, Ron S.

Hardcover

Series: Statistics for Industry, Technology, and Engineering

ApplicationsProbability & Statistics

PREORDER - Expected ship date February 24, 2027

ISBN10: 3032335531
ISBN13: 9783032335531
Publisher: Birkhauser
Published: Feb 24 2027
Pages: 290
Language: English
The modern availability of multistream data in a wide range of applications is pushing the need to address time series data analysis in new and innovative ways. Examples include analyzing sensor data in Industry 4.0, modeling and predicting ridesourcing in NYC or temperatures from IoT sensors, or monitoring the stability of large-scale industrial processes, among others. This context leads to challenges coming from unsynchronized data resolution, a variety of data structures, including imaging, and complex challenges in data integration.

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