Fuzzy c-means clustering and Internet portals : A case study
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 696-714 |
| Journal / Publication | European Journal of Operational Research |
| Volume | 164 |
| Issue number | 3 SPEC. ISS. |
| Publication status | Published - 1 Aug 2005 |
Link(s)
Abstract
Researchers in operational research have used fuzzy c-means clustering ubiquitously in a wide range of areas. It appears that Internet portals can also benefit from this powerful methodology. This paper tests the applicability of fuzzy c-means clustering to Internet portals and shows that there exist meaningful clusters among the potential users of an Internet portal that offers business-related information. The results suggest that Internet portals can use fuzzy c-means clustering to determine homogenous groups of people and offer specific information to each group. © 2004 Elsevier B.V. All rights reserved.
Research Area(s)
- Case study, Fuzzy sets, Internet
Citation Format(s)
Fuzzy c-means clustering and Internet portals : A case study. / Ozer, Muammer.
In: European Journal of Operational Research, Vol. 164, No. 3 SPEC. ISS., 01.08.2005, p. 696-714.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
