Multiway Data Analysis refers to any multiple array can be analyzed through a design and application of multiple methodologies.[1]
History
In 1988, an Italian-Dutch-French-English consortium that organized an international meeting on the Analysis of Multiway Data in Rome.[2] In recent year, the development and application of multiway data analysis has extended to food industry and become an useful tool for chemometricians. [3]
Composition of Multiway Data Analysis
Multiway Data
Some of research papers in this field of study apply mathematical notation to describe multiway data. Following provide a simplex example to describe different levels of multiway data starting from spreadsheet ending with cloud infrastructure:
- Two-way data looks like a spreadsheet it contains row and column spaces.
- 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 regions their management team have decided to deploy these multiway data over cloud infrastructure.
Multiway Model
Multiway data can be transformed upward or downward to different levels by using suitable model. However, transforming the above example of sixth-way data downward to two-way data in order to obtain relevant information will encounter multifaceted problems despite there are multiple methodologies available.
Multiway Application
Multiway data analysis are employed in multiway application areas so as to address the problem of finding hidden multilinear structure in multiway datasets: [4]
- Chemistry
- Neuroscience
- Social network analysis/web-mining
- Computer vision
- Process analysis
- Finance and accounting
References
- ^ Coppi, R., S. Bolasco (Eds.): Multiway Data Analysis. North-Holland, Amsterdam 1989, xiv+552 S
- ^ Pieter M. Kroonenberg, Applied Multiway Data Analysis, Wiley 2008, pp. xv.
- ^ http://curis.ku.dk/ws/files/13035961/rasmus_bro.pdf
- ^ http://www.cs.rpi.edu/research/pdf/07-06.pdf