2005 TheUserQuerybasedLearningSystem

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Subject Headings: Query-Based Learning System; User Query Based Learning System

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Abstract

Real-World Data Mining Applications generally do not end up with the creation of the models. The use of the model is the final purpose especially in prediction tasks. The problem arises when the model is built based on much more information than that the user can provide in using the model. As a result, the performance of model reduces drastically due to many missing attributes values. This paper develops a new learning system framework, called as User Query Based Learning System (UQBLS), for building data mining models best suitable for users use. We demonstrate its deployment in a real-world application of the lifetime prediction of metallic components in buildings

1. Introduction

2. User Query Based Learning System

2.1 User Query Based Feature Selection

2.2 Domain Knowledge for Preprocessing and Post-processing

3. Real-World Implementation of UQBLS

We present the User Query Based Learning System (UQBLS) in Figure 1. It includes all phases as explained necessary in the industry standard data mining process model CRISP-DM (Cross Industry Standard Process for Data Mining) [10]. We highlight three procedures that are different from the CRISP-DM. They are critical for the success of our UQBLS model. The feature selection based on a user query is separated from data preprocessing. An external domain knowledge base is involved in data preprocessing and results post-processing phases.

==== 3.1 Data Acquisition ====

3.2 Feature Selection for Each Dataset

3.2.1 Colorbond
3.2.2 Holistic
3.2.3 Maintenance
3.2.4 Delphi

3.3 Method Selection and Modelling

3.4 Evaluation

4 Conclusions

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 TheUserQuerybasedLearningSystemEsther Ge
Yuefeng Li
Richi Nayak
The User Query based Learning System for Lifetime Prediction of Metallic Components2005