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PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
15 years 5 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 3 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
CLA
2004
15 years 3 months ago
Binary Factor Analysis with Help of Formal Concepts
Binary factor analysis (BFA, also known as Boolean Factor Analysis) is a nonhierarchical analysis of binary data, based on reduction of binary space dimension. It allows us to find...
Ales Keprt, Václav Snásel
INCDM
2010
Springer
129views Data Mining» more  INCDM 2010»
15 years 6 months ago
The Orange Customer Analysis Platform
In itself, the continuous exponential increase of the data-warehouses size does not necessarily lead to a richer and finer-grained information since the processing capabilities d...
Raphaël Feraud, Marc Boullé, Fabrice C...
ADMA
2010
Springer
264views Data Mining» more  ADMA 2010»
15 years 10 hour ago
Frequent Pattern Trend Analysis in Social Networks
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...