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» CLOUDS: A Decision Tree Classifier for Large Datasets
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IJCAI
2003
14 years 11 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
PR
2006
84views more  PR 2006»
14 years 9 months ago
Document zone content classification and its performance evaluation
This paper describes an algorithm for the determination of zone content type of a given zone within a document image. We take a statistical based approach and represent each zone ...
Yalin Wang, Ihsin T. Phillips, Robert M. Haralick
IPPS
2002
IEEE
15 years 2 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 1 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis