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Dynamic Integration of Regression Models
TLDR
It is shown that the Dynamic Integration techniques are as effective for regression as Stacked Regression when the base models are simple. Expand
Ensemble feature selection with the simple Bayesian classification
TLDR
An algorithm for building ensembles of simple Bayesian classifiers in random subspaces, which includes a hill-climbing-based refinement cycle, which tries to improve the accuracy and diversity of the base classifiers built on random feature subsets. Expand
Eigenvector-Based Feature Extraction for Classification
TLDR
Two eigenvector-based approaches that take into account the class information are considered and one is parametric and the other is a nonparametric modification of the first based on local calculation of the between-class covariance matrix. Expand
Integration of Case Based Retrieval with a Relational Database System in Aircraft Technical Support
TLDR
The development of a CBR system for use in the Technical Support department of an aircraft manufacturing company that integrates case based retrieval with a relational database system to provide a rich environment to help manage the life cycle of a technical support query. Expand
Discovering Case Knowledge Using Data Mining
TLDR
The use of Data Mining in two aspects of the MZ system [ANAN97a], namely, the acquisition of cases and discovery of adaptation knowledge, is discussed, in detail, the approach taken to discover cases and the methodology to discover adaptation knowledge. Expand
A regression based adaptation strategy for case-based reasoning
TLDR
A competent adaptation strategy is presented, which uses a modified regression algorithm to automatically discover and implement locally specific adaptation knowledge in CBR and is automated, localised, guaranteed to be specific to the task at hand, and there is no adaptation knowledge maintenance burden on the system. Expand
Temporal Data Mining for Smart Homes
TLDR
The main temporal data mining techniques available are outlined and examples of where they can be applied within a smart home environment are provided. Expand
SOPHIA-TCBR: A knowledge discovery framework for textual case-based reasoning
TLDR
The quality of the knowledge discovery process in SOPHIA is demonstrated by showing the high level of topic similarity between adjacent cases within the minimum spanning tree, and it is demonstrated that the topic homogeneity increases as the average semantic similarity between cases in the kernel increases. Expand
Contextual Document Clustering
TLDR
A novel algorithm based on distributional clustering where subject related words, which have a narrow context, are identified to form meta-tags for that subject to form thematic clusters of documents is presented. Expand
A scaleable document clustering approach for large document corpora
TLDR
It is demonstrated that CDC is a powerful and scaleable technique with the ability to create stable clusters of high quality and to be the first time that a collection as large as RCV1 has been analyzed in its entirety using a static clustering approach. Expand
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