Book Description:
The fundamental algorithms in
data mining and analysis form the basis for the emerging field of data
science, which includes automated methods to analyze patterns and models
for all kinds of data, with applications ranging from scientific
discovery to business intelligence and analytics.
Book Description:
The knowledge discovery
process is as old as Homo sapiens. Until some time ago this process was
solely based on the natural personal' computer provided by Mother
Nature. Fortunately, in recent decades the problem has begun to be
solved based on the development of the Data mining technology, aided by
the huge computational power of the 'artificial' computers.
Book Description:
The growing interest in data
mining is motivated by a common problem across disciplines: how does one
store, access, model, and ultimately describe and understand very large
data sets? Historically, different aspects of data mining have been
addressed independently by different disciplines. This is the first
truly interdisciplinary text on data mining, blending the contributions
of information science, computer science, and statistics.
Book Description:
This is the second edition of
the premier professional reference on the subject of Data Mining,
expanding and updating the original. This was the first (and is still
the best and most popular) of its kind. Combines sound theory with truly
practical applications to prepare students for real-world challenges in
the professional database field
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