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BTW
2005
Springer
104views Database» more  BTW 2005»
16 years 14 days ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 10 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 10 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...
ICDM
2009
IEEE
127views Data Mining» more  ICDM 2009»
16 years 1 months ago
Aspect Guided Text Categorization with Unobserved Labels
This paper proposes a novel multiclass classification method and exhibits its advantage in the domain of text categorization with a large label space and, most importantly, when ...
Dan Roth, Yuancheng Tu
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
16 years 1 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara