Touch it, mine it, view it, shape it
| dc.contributor.author | Hahmann, Martin | |
| dc.contributor.author | Habich, Dirk | |
| dc.contributor.author | Lehner, Wolfgang | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Mitschang, Bernhard | |
| dc.contributor.editor | Schöning, Harald | |
| dc.contributor.editor | Schwarz, Holger | |
| dc.date.accessioned | 2019-01-17T10:36:49Z | |
| dc.date.available | 2019-01-17T10:36:49Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | To benefit from the large amounts of data, gathered in more and more application domains, analysis techniques like clustering have become a necessity. As their application expands, a lot of unacquainted users come into contact with these techniques. Unfortunately, most clustering approaches are complex and/or scenario specific, which makes clustering a challenging domain to access. In this demonstration, we want to present a clustering process, that can be used in a hands-on way. | en |
| dc.identifier.isbn | 978-3-88579-274-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19625 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW) | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-180 | |
| dc.title | Touch it, mine it, view it, shape it | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 749 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 746 | |
| gi.conference.date | 02.-04.03.2011 | |
| gi.conference.location | Kaiserslautern | |
| gi.conference.sessiontitle | Regular Research Papers |
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