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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 10 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
CIKM
2001
Springer
15 years 8 months ago
SQL Database Primitives for Decision Tree Classifiers
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
Kai-Uwe Sattler, Oliver Dunemann
DAWAK
2004
Springer
15 years 10 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 5 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
WSDM
2010
ACM
173views Data Mining» more  WSDM 2010»
16 years 2 months ago
Measuring the Reusability of Test Collections
While test collection construction is a time-consuming and expensive process, the true cost is amortized by reusing the collection over hundreds or thousands of experiments. Some ...
Ben Carterette, Evgeniy Gabrilovich, Vanja Josifov...