Ensembles of jittered association rule classifiers
نویسندگان
چکیده
منابع مشابه
Ensembles of Abstaining Classifiers Based on Rule Sets
The role of abstaining from prediction by component classifiers in rule ensembles is discussed. We consider bagging and Ivotes approaches to construct such ensembles. In our proposal, component classifiers are based on unordered sets of rules with a classification strategy that solves ambiguous matching of the object’s description to the rules. We propose to induce rule sets by a sequential cov...
متن کاملRule Based Ensembles Using Pair Wise Neural Network Classifiers
In value estimation, the inexperienced people's estimation average is good approximation to true value, provided that the answer of these individual are independent. Classifier ensemble is the implementation of mentioned principle in classification tasks that are investigated in two aspects. In the first aspect, feature space is divided into several local regions and each region is assigned wit...
متن کاملLearning Business Rules with Association Rule Classifiers
The main obstacles for a straightforward use of association rules as candidate business rules are the excessive number of rules discovered even on small datasets, and the fact that contradicting rules are generated. This paper shows that Association Rule Classification algorithms, such as CBA, solve both these problems, and provides a practical guide on using discovered rules in the Drools BRMS...
متن کاملCreating Ensembles of Classifiers
Ensembles of classifiers offer promise in increasing overall classification accuracy. The availability of extremely large datasets has opened avenues for application of distributed and/or parallel learning to efficiently learn models of them. In this paper, distributed learning is done by training classifiers on disjoint subsets of the data. We examine a random partitioning method to create dis...
متن کاملWeb-document Prediction and Presending Using Association Rule Sequential Classifiers
_____________________________________________________________ iii Dedication ____________________________________________________________ iv Acknowledgments _______________________________________________________ v Table of
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data Mining and Knowledge Discovery
سال: 2010
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-010-0173-y