The nature of statistical learning theory
The nature of statistical learning theory
The MLPQ/GIS constraint database system
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A framework for data mining and KDD
Proceedings of the 2002 ACM symposium on Applied computing
Introduction to constraint databases
Introduction to constraint databases
Machine Learning
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Constraint Databases
Temporal Data Classification Using Linear Classifiers
ADBIS '09 Proceedings of the 13th East European Conference on Advances in Databases and Information Systems
Temporal data classification using linear classifiers
Information Systems
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In many problems the raw data is already classified according to a variety of features using some linear classification algorithm but needs to be reclassified. We introduce a novel reclassification method that creates new classes by combining in a flexible way the existing classes without requiring access to the raw data. The flexibility is achieved by representing the results of the linear classifications in a linear constraint database and using the full query capabilities of a constraint database system. We implemented this method based on the MLPQ constraint database system. We also tested the method on a data that was already classified using a decision tree algorithm.