pang ning tan introduction to data mining pdf

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INTRODUCTIONTODATAMINING

a comprehensive introduction to data mining and is designed to be accessi-ble and useful to students instructors researchers and professionals Areas coveredincludedatapreprocessingpredictivemodelingassociationanalysis clusteranalysisanomalydetectionandavoidingfalsediscoveries Thegoalis

What are the four 4 main data mining techniques?
Data mining typically uses four data mining techniques to create descriptive and predictive power: regression, association rule discovery, classification and clustering.
What is the introduction of data mining process?
Data mining is the process of analyzing a large batch of information to discern trends and patterns.
Data mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam filtering.
Who introduced data mining?
Gregory Piatetsky-Shapiro coined the term "knowledge discovery in databases" for the first workshop on the same topic (KDD-1989) and this term became more popular in the AI and machine learning communities.
However, the term data mining became more popular in the business and press communities.
Types of Data Mining
Types of Data Mining
Clustering involves finding groups with similar characteristics. Classification sorts items (or individuals) into categories based on a previously learned model. Association identifies pieces of data that are commonly found near each other.

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