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Books > Computing & IT > Applications of computing > Databases > Data mining
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Linking and Mining Heterogeneous and Multi-view Data (Hardcover, 1st ed. 2019)
Loot Price: R3,635
Discovery Miles 36 350
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Linking and Mining Heterogeneous and Multi-view Data (Hardcover, 1st ed. 2019)
Series: Unsupervised and Semi-Supervised Learning
Expected to ship within 12 - 17 working days
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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. Includes advances on unsupervised,
semi-supervised and supervised approaches to heterogeneous data
linkage and fusion; Covers use cases of analytics over multi-view
and heterogeneous data from across a variety of domains such as
fake news, smarter transportation and social media, among others;
Provides a high-level overview of advances in this emerging field
and empowers the reader to explore novel applications and
methodologies that would enrich the field.
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