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ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
13 years 10 months ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...
ICDM
2005
IEEE
130views Data Mining» more  ICDM 2005»
13 years 10 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Frans Coenen, Paul H. Leng
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
13 years 10 months ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
13 years 10 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
13 years 10 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...
ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...