Identifying industrial clusters with a novel big-data methodology : are SIC codes (not) fit for purpose in the Internet age?
Savvas Papagiannidis, Eric W.K. See-To, Dimitris G. Assimakopoulos, Yang Yang
| Year of publication: |
October 2018
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|---|---|
| Authors: | Papagiannidis, Savvas ; See-To, Eric W. K. ; Assimakopoulos, Dimitris G. ; Yang, Yang |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 98.2018, p. 355-366
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| Subject: | Industry classification | SIC codes | Big data analytics | Clusters | Operations | Strategic co-operation | Regional policy | North East of England | Regionales Cluster | Regional cluster | Regionalpolitik | Big Data | Big data | Internet | Data Mining | Data mining | Clusteranalyse | Cluster analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2017.06.010 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011886969