A brief history of data mining

piloturuguayanΤεχνίτη Νοημοσύνη και Ρομποτική

15 Οκτ 2013 (πριν από 4 χρόνια και 8 μήνες)

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history of data mining

The term "Data mining" was introduced in the 1990s, but data mining is the evolution of a field
with a long history.

Data mining roots are traced back along three family lines: classical statistics, artificial
intelligence, and machine learning.


are the foundation of most technologies on which data mining is built, e.g. regression
analysis, standard distribut

deviation, standard variance,

cluster analysis, and confidence intervals. All of these are used to study data and data

Artificial intelligence, or AI, which is built upon heuristics as opposed to statisti
cs, attempts to
apply human
like processing to statistical problems. Certain AI concepts which were
adopted by some high
end commercial products, such as query optimization modules for
Relational Database Management Systems (RDBMS).

Machine learni
ng is the union of statistics and AI. It could be considered an evolution of AI,
because it blends AI heuristics with advanced statistical analysis. Machine learning attempts to
let computer programs learn about the data they study, such that programs make

decisions based on the qualities of the studied data, using statistics for fundamental concepts, and
adding more advanced AI heuristics and algorithms to achieve its goals.

Data mining, in many ways, is fundamentally the adaptation of machine l
earning techniques to
business applications. Data mining is best described as the union of historical and recent
developments in statistics, AI, and machine learning. These techniques are then used together to
study data and find previously
hidden trends o
r patterns within.


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When was Data Mining Introduced?


What are
the Data Mining roots traced back to


What is Artificial intelligence


What does machine learning consists of


What does machine learning attempt to do


What is Data mining best described as

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History of Data Mining

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Implication for database
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