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» Improving Generalization by Data Categorization
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MCS
2009
Springer
13 years 12 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
14 years 8 months ago
Indexing Uncertain Categorical Data
Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, R...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 1 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong
DRM
2004
Springer
14 years 24 days ago
Tamper detection and localization for categorical data using fragile watermarks
Today, database relations are widely used and distributed over the Internet. Since these data can be easily tampered with, it is critical to ensure the integrity of these data. In...
Yingjiu Li, Huiping Guo, Sushil Jajodia