Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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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
Linking and Mining Heterogeneous and Multi-View Data

Linking and Mining Heterogeneous and Multi-View Data

P, Deepak
Jurek-Loughrey, Anna

Hardcover

Series: Unsupervised and Semi-Supervised Learning

Technology & EngineeringGeneral Computers

ISBN10: 3030018717
ISBN13: 9783030018719
Publisher: Springer Nature
Published: Jan 23 2019
Pages: 343
Weight: 1.47
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of growth of data vastly outpacing any chance of labeling them manually. The book looks at the underlying algorithms and technologies that facilitate the area within big data analytics, it covers their applications across domains such as smarter transportation, social media, fake news detection and enterprise search among others. This book enables readers to understand a spectrum of advances in this emerging area, and it will hopefully empower them to leverage and develop methods in multi-source data fusion and analytics with applications to a variety of scenarios.

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