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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 5 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
IADIS
2008
13 years 8 months ago
Obtaining User Profiles Via Web Usage Mining
In this paper, we present a model to obtain and analyze user profiles after a process of web usage mining where log files are processed. The web log files register the activity of...
Maria J. Martín-Bautista, María Ampa...
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 1 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 1 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana