Developing a Scalable Model to Analyze Expanding Data Sets | Zendy

Donald D. Conant | Zendy

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Developing a Scalable Model to Analyze Expanding Data Sets

Author(s) -

Donald D. Conant

Publication year - 2015

Publication title -

informs transactions on education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.161

H-Index - 3

ISSN - 1532-0545

DOI - 10.1287/ited.2015.0137

Subject(s) - computer science , scalability , workbook , data set , data mining , set (abstract data type) , function (biology) , theoretical computer science , database , programming language , artificial intelligence , accounting , evolutionary biology , business , biology

Ioffer a workbook to teach the scalable analysis of expanding data sets. When analyzing data sets, function ranges are often statically defined. As a result, when new data are appended to the data set, the appended data are beyond the static ranges. This paper uses a basic time series regression analysis to show how to access data in expanding data sets and analyze data periods that expand and contract.

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