Uncertainty modeling for data mining a label semantics approach /
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling un...
| Main Author: | Qin, Zengchang, |
|---|---|
| Other Authors: | Tang, Yongchuan,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht :
Springer,
2014.
|
| Physical Description: |
1 online resource (420 pages) : illustrations. |
| Series: |
Advanced topics in science and technology in China.
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| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |