Uncertainty Handling and Quality Assessment in Data Mining

Beschreibung

Covers the key topics of assessing the quality of the results and handling uncertainty in data mining.
Focuses on the quality assessment of the results and the use of uncertainty in data mining rather than providing a general treatment of the subject of data mining

Autor*in

Michalis Vazirgiannis

Themen in »Uncertainty Handling and Quality Assessment in Data Mining«

Cluster Validity Data Mining Knowledge Discovery Quality Assessment Uncertainty Handling algorithms database data structures

Stimmen zu »Uncertainty Handling and Quality Assessment in Data Mining«

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