What Is Data Mining?
Data mining is the principle of sorting through large amounts of data and
picking out relevant information.
In other words…
•Data mining (knowledge discovery from data)
–Extraction of interesting (non-trivial, implicit, previously unknown and
potentially useful) patterns or knowledge from huge amount of data
–Knowledge discovery (mining) in databases (KDD), knowledge
extraction, data/pattern analysis, data archeology, data dredging,
information harvesting, business intelligence, etc.
•Data : Data are any facts, numbers, or text that can be
processed by a computer.
–operational or transactional data such as, sales, cost, inventory,
payroll, and accounting
–nonoperational data, such as industry sales, forecast data, and
macro economic data
–meta data - data about the data itself, such as logical database
design or data dictionary definitions
•Information: The patterns, associations, or relationships
among all this data can provide information.
•Knowledge: Information can be converted into knowledge
about historical patterns and future trends. For example,
summary information on retail supermarket sales can be
analyzed in terms of promotional efforts to provide
knowledge of consumer buying behavior. Thus, a
manufacturer or retailer could determine which items are
most susceptible to promotional efforts.
•Data Warehouses: Data warehousing is defined as a process
of centralized data management and retrieval.