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Big Data Preprocessing - Enabling Smart Data (Hardcover, 1st ed. 2020)
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Big Data Preprocessing - Enabling Smart Data (Hardcover, 1st ed. 2020)
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This book offers a comprehensible overview of Big Data
Preprocessing, which includes a formal description of each problem.
It also focuses on the most relevant proposed solutions. This book
illustrates actual implementations of algorithms that helps the
reader deal with these problems. This book stresses the gap that
exists between big, raw data and the requirements of quality data
that businesses are demanding. This is called Smart Data, and to
achieve Smart Data the preprocessing is a key step, where the
imperfections, integration tasks and other processes are carried
out to eliminate superfluous information. The authors present the
concept of Smart Data through data preprocessing in Big Data
scenarios and connect it with the emerging paradigms of IoT and
edge computing, where the end points generate Smart Data without
completely relying on the cloud. Finally, this book provides some
novel areas of study that are gathering a deeper attention on the
Big Data preprocessing. Specifically, it considers the relation
with Deep Learning (as of a technique that also relies in large
volumes of data), the difficulty of finding the appropriate
selection and concatenation of preprocessing techniques applied and
some other open problems. Practitioners and data scientists who
work in this field, and want to introduce themselves to
preprocessing in large data volume scenarios will want to purchase
this book. Researchers that work in this field, who want to know
which algorithms are currently implemented to help their
investigations, may also be interested in this book.
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