Case studies

Han Liu; Alexander Gegov; Mihaela Cocea

doi:10.1007/978-3-319-23696-4_8

Case studies

Han Liu, Alexander Gegov, Mihaela Cocea

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

This chapter introduces three case studies of big data. In particular, the methods and techniques introduced in Chaps. 3, 4, 5 and 6 are evaluated through theoretical analysis and empirical validation using large data sets in terms of accuracy, efficiency and interpretability.

Original language	English
Title of host publication	Rule Based Systems for Big Data
Subtitle of host publication	A Machine Learning Approach
Publisher	Springer
Pages	81-95
Number of pages	15
Edition	1st
ISBN (Electronic)	9783319236964
ISBN (Print)	9783319236957, 9783319370279
DOIs	https://doi.org/10.1007/978-3-319-23696-4_8 https://doi.org/10.1007/978-3-319-23696-4
Publication status	Published - 17 Sept 2015

Publication series

Name	Studies in Big Data
Volume	13
ISSN (Print)	2197-6503
ISSN (Electronic)	2197-6511

Keywords

actual sample size
random classifier
time complexity
time complexity analysis
training stage

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https://link.springer.com/book/10.1007/978-3-319-23696-4

Cite this

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AU - Cocea, Mihaela

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KW - time complexity

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KW - training stage

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Case studies

Abstract

Publication series

Keywords

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