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ICDM
2002
IEEE
139views Data Mining» more  ICDM 2002»
15 years 11 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 11 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 6 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 6 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 4 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