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ICDM
2002
IEEE
139views Data Mining» more  ICDM 2002»
15 years 9 months ago
An Incremental Approach to Building a Cluster Hierarchy
In this paper we present a novel Incremental Hierarchical Clustering (IHC) algorithm. Our approach aims to construct a hierarchy that satisfies the homogeneity and the monotonici...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
INCDM
2010
Springer
129views Data Mining» more  INCDM 2010»
15 years 9 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...
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 4 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
CPC
2002
75views more  CPC 2002»
15 years 4 months ago
The Minesweeper Game: Percolation And Complexity
We study a model motivated by the minesweeper game. In this model one starts with percolation of mines on the sites of the lattice Zd , and then tries to find an infinite path of ...
Elchanan Mossel
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
15 years 2 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm