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EOR
2006
74views more  EOR 2006»
15 years 6 months ago
A mixed-integer programming approach to multi-class data classification problem
This paper presents a new data classification method based on mixed-integer programming. Traditional approaches that are based on partitioning the data sets into two groups perfor...
Fadime Üney Yüksektepe, Metin Türka...
209
Voted
ALIFE
2008
15 years 6 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 8 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
162
Voted
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
SAC
2009
ACM
16 years 1 months ago
Enhancing XML data warehouse query performance by fragmentation
XML data warehouses form an interesting basis for decisionsupport applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currentl...
Hadj Mahboubi, Jérôme Darmont