Data Mining as the name suggests is the process of extracting information from data. Also known as “Knowledge Discovery in Databases”, it helps to extract hidden patterns, future trends and behaviors subsequently facilitating decision making in businesses.

1. DATA MINING
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1
Data Mining as the name
suggests is the process of
extracting information from
data. Also known
as “Knowledge Discovery
in Databases”, it helps to
extract hidden patterns,
future trends and behaviors
subsequently facilitating
decision making in
businesses.

2. WHAT IS DATA MINING?
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2
Data Mining as the name suggests is
the process of extracting information
from data. Also known as
“Knowledge Discovery in Databases”,
it helps to extract hidden patterns,
future trends and behaviors
subsequently facilitating decision
making in businesses.

3. WWW.SEMIOSISSOFTWARE.COM
3
WHAT ARE THE CHALLENGES IN
DATA MINING?
Issues related to mining methodologies:
With a large number of user interaction
the responsibility of mining data that
covers a broad section of user queries
has increased. The data cleaning done
during data processing needs to be
accurate.
Issues related to Performance: Various
algorithms have been developed to
handle data accurately. But the
performance issues of these algorithms is
a huge challenge.
Issues related to diverse data type: The
variety of data that is being generated is
heterogeneous and the problem to handle
such different types of data remains to be
a task.