Multiway data analysis: Difference between revisions

Revision as of 08:39, 30 November 2013

Revision as of 09:23, 30 November 2013

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'''Multiway data analysis''' is distinguished from [[multivariate analysis]], [[multilevel analysis]] and [[multidimensional analysis]]. It

refers to any multiple [[array]] can be analyzed through a design and application of multiple [[methodologies]].<ref>Coppi, R., S. Bolasco (Eds.): Multiway Data Analysis. North-Holland, Amsterdam 1989, xiv+552 S </ref>

==History==

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* Three-way [[data]] looks like a set of [[spreadsheets]] such as [[Excel]] Workbook such that it contains multiple sheets with every sheet contains [[row and column spaces]].

* Fourth-way [[data]] looks like a file folder contains multiple [[Excel]] Workbooks.

* Fifth-way [[data]] looks like a [[company]] have invested in [[IT infrastructure]] to connect different [[data storage devices]] managing multiple file folders together with multiple [[database]] and [[file formats]] (e.g. [[Excel]], [[MS SQL]], [[Sybase]], [[DB2]], [[ISAM]]).

* Sixth-way [[data]] looks like a [[multinational corporation]] contains multiple [[subsidiaries]] operate multiple [[business]] across multiple [[geographical region]]s their [[management team]] have decided to deploy these multiway data over [[cloud infrastructure]].

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Multiway data analysis can be employed in various multiway applications so as to address the problem of finding hidden multilinear structure in multiway datasets. Following are examples of applications in different fields: <ref>http://www.cs.rpi.edu/research/pdf/07-06.pdf</ref>

* [[Auditing]] and [[assurance]]

* [[Computer vision]]

* [[Electroanalytical chemistry]]