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Data Preprocessing in Data Mining /
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Fur...
| 主要な著者: | , , |
|---|---|
| フォーマット: | Printed Book |
| 言語: | English |
| 版: | 1st ed. 2015. |
| シリーズ: | Intelligent Systems Reference Library,
72 |
| 主題: |
目次:
- Introduction
- Data Sets and Proper Statistical Analysis of Data Mining Techniques
- Data Preparation Basic Models
- Dealing with Missing Values
- Dealing with Noisy Data
- Data Reduction
- Feature Selection
- Instance Selection
- Discretization
- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.