[PDF.30cr] Uncertainty Modeling for Data Mining: A Label Semantics Approach (Advanced Topics in Science and Technology in China)

Uncertainty Modeling for Data Mining: A Label Semantics Approach (Advanced Topics in Science and Technology in China)

[PDF.vr88] Uncertainty Modeling for Data Mining: A Label Semantics Approach (Advanced Topics in Science and Technology in China)

Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang epub
Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang pdf download
Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang pdf file
Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang audiobook
Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang book review
Uncertainty Modeling for Data  Zengchang Qin, Yongchuan Tang summary

 | #7061320 in Books |  2015-02-18 | Original language:English | PDF # 1 |  .90 x6.20 x9.20l,.0 | File type: PDF | 291 pages

---

||From the Back Cover|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

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 uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new pr...

You can specify the type of files you want, for your device.Uncertainty Modeling for Data Mining: A Label Semantics Approach (Advanced Topics in Science and Technology in China)   |  Zengchang Qin, Yongchuan Tang. Which are the reasons I like to read books. Great story by a great author.

Read Online Now