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» Phenomenal Data Mining: From Data to Phenomena
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DOCENG
2007
ACM
15 years 10 months ago
Adapting associative classification to text categorization
Associative classification, which originates from numerical data mining, has been applied to deal with text data recently. Text data is firstly digitalized to database of transact...
Baoli Li, Neha Sugandh, Ernest V. Garcia, Ashwin R...
ICAI
2004
15 years 8 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
CIKM
2010
Springer
15 years 5 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
16 years 1 months ago
Cartesian contour: a concise representation for a collection of frequent sets
In this paper, we consider a novel scheme referred to as Cartesian contour to concisely represent the collection of frequent itemsets. Different from the existing works, this sche...
Ruoming Jin, Yang Xiang, Lin Liu
179
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ECSQARU
2007
Springer
16 years 29 days ago
PADUA Protocol: Strategies and Tactics
In this paper we describe an approach to classifying objects in a domain where classifications are uncertain using a novel combination of argumentation and data mining. Classific...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...