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  • 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
Big Data Mining and Analytics with Applications

Big Data Mining and Analytics with Applications

Wang, Hongzhi
Ye, Chen

Hardcover

General Computers

ISBN10: 3725863369
ISBN13: 9783725863365
Publisher: Mdpi AG
Published: Jan 29 2026
Pages: 196
Weight: 1.38
Height: 0.69 Width: 6.69 Depth: 9.61
Language: English

This Reprint contains all of the articles accepted and published in the Special Issue titled Big Data Mining and Analytics with Applications in the journal Mathematics. It compiles 10 papers related to span predictive modeling for spatiotemporal data (e.g., traffic, air quality, crowd flow), data quality and repair, automated data understanding (e.g., table type prediction), advanced clustering and user segmentation, scalable statistical learning (e.g., Bayesian variable selection), and text mining applications (e.g., document classification, fake review detection). Together, they highlight a strong focus on efficient, robust, and interpretable methods for big data mining and analysis across domains. It is our hope that these contributions will serve as an inspiring source for researchers in the domains of big data analytics and machine learning.

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