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Holger Wulff

dblp:30/6357 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Web and social media mining · 91% Data mining · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining › social media analysis
blog analysis
0.012003
Findings from a Practical Project Concerning Web Usage Mining · ICDM 2003
Web and social media mining
web mining
0.012003
Findings from a Practical Project Concerning Web Usage Mining · ICDM 2003
Web and social media mining
web usage mining
0.012003
Findings from a Practical Project Concerning Web Usage Mining · ICDM 2003
Data mining › knowledge discovery process
preprocessing
0.012003
Findings from a Practical Project Concerning Web Usage Mining · ICDM 2003

Methods — techniques the papers use, named apart from their topics

significance testing · 0.0CRISP-DM · 0.0
YearPublicationVenuePosition
2003 Findings from a Practical Project Concerning Web Usage Mining
abstract
In a practical project a statistical analysis of the Web log files of the domain www.volkswagen.de was carried out by using the CRISP-DM procedure. For the preprocessing phase, more profound findings could be gained than are usually described in many studies. Since the aim was to deduce significant statements while measuring the effect, tests of significance for e-metrics were used in addition to the commonly described procedure.
Frank Dellmann, Holger Wulff, Stefan Schmitz
ICDM2