Data Mining and Statistical Control - A Review and Some Links
Rainer Göb ()
Additional contact information
Rainer Göb: Universität Würzburg, Institut für Angewandte Mathematik und Statistik
A chapter in Frontiers in Statistical Quality Control 8, 2006, pp 285-308 from Springer
Abstract:
Summary Due to the potential of modern data processing industrial companies collect large amounts of business and engineering data. Interest in analysing these data has lead to a strong demand for data mining techniques and for corresponding software packages. Although data analysis is the common interest of statistics and data mining, the relationship between the two fields has remained unclear, in practice as well as in methodology. The present paper reviews links between data mining and statistical control in two instances: database management, particularly data warehousing, and temporal pattern analysis.
Keywords: Control Chart; Data Warehouse; Target Event; Statistical Quality Control; Melt Index (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1687-7_17
Ordering information: This item can be ordered from
http://www.springer.com/9783790816877
DOI: 10.1007/3-7908-1687-6_17
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().