How Can SMEs Benefit from Big Data? Challenges and a Path Forward (English)
- New search for: Coleman, Shirley
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- New search for: Göb, Rainer
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In:
Quality and reliability engineering international
;
32
, 6
; 2151-2164
;
2016
-
ISSN:
- Article (Journal) / Print
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Title:How Can SMEs Benefit from Big Data? Challenges and a Path Forward
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Contributors:Coleman, Shirley ( author ) / Göb, Rainer / Manco, Giuseppe / Pievatolo, Antonio / Tort‐Martorell, Xavier / Reis, Marco Seabra
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Published in:Quality and reliability engineering international ; 32, 6 ; 2151-2164
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Publisher:
- New search for: Wiley
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Place of publication:Chichester [u.a.]
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Publication date:2016
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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- Further information on Basic classification
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Keywords:
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Classification:
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Source:
Table of contents – Volume 32, Issue 6
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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ENBIS‐17: Conference Announcement| 2016
- 1987
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Issue Information ‐ Aims and Scope| 2016
- 1988
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Issue Information ‐ JIP| 2016
- 1989
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Issue Information ‐ TOC| 2016
- 1991
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The ENBIS‐15 Quality and Reliability Engineering International Special IssueVicario, Grazia / Tort‐Martorell, Xavier et al. | 2016
- 1993
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Quantifying the Random Component of Measurement Error of Nominal Measurements Without a Gold StandardAkkerhuis, T. S. / de Mast, J. et al. | 2016
- 2005
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Measurement Error Models for Interlaboratory Comparison Measurement DataBerni, Rossella / Nikiforova, Nedka D. et al. | 2016
- 2017
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Improving Websites' Quality of Service by Shortening Their Browsing Expected Path LengthPostelnicu, Zohar / Raviv, Tal / Ben‐Gal, Irad et al. | 2016
- 2033
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Regularization for Continuously Observed Ordinal Response Variables with Piecewise‐constant Functional CovariatesAvery, Matthew / Orndorff, Mark / Robinson, Timothy / Freeman, Laura et al. | 2016
- 2043
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Bayesian Model Selection for the Validation of Computer CodesDamblin, Guillaume / Keller, Merlin / Barbillon, Pierre / Pasanisi, Alberto / Parent, Éric et al. | 2016
- 2055
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Meta‐models in Computer Experiments: Kriging versus Artificial Neural NetworksVicario, Grazia / Craparotta, Giuseppe / Pistone, Giovanni et al. | 2016
- 2067
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Stochastic Simulators Based Optimization by Gaussian Process Metamodels – Application to Maintenance Investments Planning IssuesBrowne, Thomas / Iooss, Bertrand / Gratiet, Loïc Le / Lonchampt, Jérôme / Remy, Emmanuel et al. | 2016
- 2081
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Functional Control Charts and Health Monitoring of Steam SterilizersFassò, Alessandro / Toccu, Maurizio / Magno, Marino et al. | 2016
- 2093
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A Multivariate Control Chart for Autocorrelated Tool Wear ProcessesHarris, Keith / Triantafyllopoulos, Kostas / Stillman, Eleanor / McLeay, Thomas et al. | 2016
- 2107
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Identify Important Factors for Service Simulation Experiments Using QFDDror, Shuki et al. | 2016
- 2115
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Compositional Data Methods in Customer Survey AnalysisVives‐Mestres, Marina / Martín‐Fernández, Josep‐Antoni / Kenett, Ron S. et al. | 2016
- 2127
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Correlation Analysis in Contaminated Data by Singular Spectrum AnalysisRodrigues, Paulo Canas / Mahmoudvand, Rahim et al. | 2016
- 2139
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Residual Analysis in Generalized Function‐on‐Scalar Regression for an HVOF Spraying ProcessKuhnt, Sonja / Rehage, André / Becker‐Emden, Christina / Tillmann, Wolfgang / Hussong, Birger et al. | 2016
- 2151
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How Can SMEs Benefit from Big Data? Challenges and a Path ForwardColeman, Shirley / Göb, Rainer / Manco, Giuseppe / Pievatolo, Antonio / Tort‐Martorell, Xavier / Reis, Marco Seabra et al. | 2016