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Data Preprocessing in Data Mining (Hardcover, 2015 ed.)
Loot Price: R6,992
Discovery Miles 69 920
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Data Preprocessing in Data Mining (Hardcover, 2015 ed.)
Series: Intelligent Systems Reference Library, 72
Expected to ship within 10 - 15 working days
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Data Preprocessing for Data Mining addresses one of the most
important issues within the well-known Knowledge Discovery from
Data process. Data directly taken from the source will likely have
inconsistencies, errors or most importantly, it is not ready to be
considered for a data mining process. Furthermore, the increasing
amount of data in recent science, industry and business
applications, calls to the requirement of more complex tools to
analyze it. Thanks to data preprocessing, it is possible to convert
the impossible into possible, adapting the data to fulfill the
input demands of each data mining algorithm. Data preprocessing
includes the data reduction techniques, which aim at reducing the
complexity of the data, detecting or removing irrelevant and noisy
elements from the data. This book is intended to review the tasks
that fill the gap between the data acquisition from the source and
the data mining process. A comprehensive look from a practical
point of view, including basic concepts and surveying the
techniques proposed in the specialized literature, is given.Each
chapter is a stand-alone guide to a particular data preprocessing
topic, from basic concepts and detailed descriptions of classical
algorithms, to an incursion of an exhaustive catalog of recent
developments. The in-depth technical descriptions make this book
suitable for technical professionals, researchers, senior
undergraduate and graduate students in data science, computer
science and engineering.
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