Browsing by Author "Kirkby, Richard Brendon"
Now showing items 1-5 of 15
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Batch-Incremental Learning for Mining Data Streams
(University of Waikato, 2004)The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival. Third, ... -
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams
(2006)We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels constructed over time from a data stream. ... -
Handling numeric attributes in Hoeffding trees
(Springer, Berlin, 2008)For conventional machine learning classification algorithms handling numeric attributes is relatively straightforward. Unsupervised and supervised solutions exist that either segment the data into pre-defined bins or sort ... -
Improving Hoeffding Trees
(The University of Waikato, 2007)Modern information technology allows information to be collected at a far greater rate than ever before. So fast, in fact, that the main problem is making sense of it all. Machine learning offers promise of a solution, but ... -
A logic boosting approach to inducing multiclass alternating decision trees
(University of Waikato, Department of Computer Science, 2002-03)The alternating decision tree (ADTree) is a successful classification technique that combine decision trees with the predictive accuracy of boosting into a ser to interpretable classification rules. The original formulation ...
