Data Mining - (Descriptive|Discovery) (Analysis|Statistics)

Data System Architecture

Data Mining - (Descriptive|Discovery) (Analysis|Statistics)

About

Descriptive analysis is also known as Descriptive statistics

They are procedures used to summarize, organize, and simplify data.

Descriptive function are always unsupervised

See also Data Quality - Data Profiling.

By presenting information visually and allowing dynamic user control through direct manipulation principles, it is possible to traverse large information spaces and facilitate comprehension. In a few tenths of a second, humans can recognize features in megapixel displays, recall related images, and identify anomalies.

Type of identification

Division (Cluster)

Data Mining - Clustering (Function|Model)

Division





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Data System Architecture
Data (Analysis|Analyse|Analytics)

finding the right data to answer abusiness question, understanding the processes underlying the data, discovering the important patterns in the data, and then communicating your results to have...
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Data Mining - (Function|Model)

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Clustering
Data Mining - Clustering (Function|Model)

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Data Mining - Data Mining - (Data|Knowledge) Discovery - Statistical Learning

Data Mining can be defined as the automatic or semiautomatic task of extracting previously unknown information from a large quantity of data. Data mining try to discover in data unknownpatternrelationshipfraud...
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Machine Learning - Unsupervised Learning ( Mining )

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Card Puncher Data Processing
Statistics

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Data System Architecture
Statistics - (Data|Data Set) (Summary|Description) - Descriptive Statistics

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Overfitting Underfitting
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Card Puncher Data Processing
Statistics - Characteristic, Property, Nature

Characteristic, Property, Nature are used to describe. Characteristic, Property and/or Nature of a data set can be described through: statistic and parameters Characteristic, Property and/or...



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