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ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
15 years 7 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
ADMA
2006
Springer
149views Data Mining» more  ADMA 2006»
15 years 8 months ago
An Interactive Visualization Environment for Data Exploration Using Points of Interest
We present in this paper an interactive method for numeric or symbolic data visualization that allows a domain expert to extract useful knowledge and information. We propose a new ...
David Da Costa, Gilles Venturini
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 8 months ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
DIS
2007
Springer
15 years 6 months ago
Time and Space Efficient Discovery of Maximal Geometric Graphs
A geometric graph is a labeled graph whose vertices are points in the 2D plane with an isomorphism invariant under geometric transformations such as translation, rotation, and scal...
Hiroki Arimura, Takeaki Uno, Shinichi Shimozono
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 4 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo