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標(biāo)題: Titlebook: Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications; Muhammad Summair Raza,Usman Qamar Book 2 [打印本頁]

作者: 啞劇表演 時(shí)間: 2025-3-21 16:47
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作者: deciduous 時(shí)間: 2025-3-21 22:29
Rough Set Theory, real-world data. Furthermore, it provides various methods to help analyse this data. This chapter discusses the basic concepts of RST with example to set a strong foundation of RST to be used as feature selection.

作者: white-matter 時(shí)間: 2025-3-22 03:02

作者: 颶風(fēng) 時(shí)間: 2025-3-22 06:40

作者: FEAS 時(shí)間: 2025-3-22 12:41

作者: forebear 時(shí)間: 2025-3-22 16:22
Unsupervised Feature Selection Using RST,wever, in real world not all the data is properly labelled, so we may come across the situation where little or no class information is provided. For such type of data, we need unsupervised feature selection information that could find feature subsets without given any class labels. In this section,

作者: Stress 時(shí)間: 2025-3-22 19:18

作者: 支形吊燈 時(shí)間: 2025-3-22 21:35
RST Source Code, libraries as well. The major aspect here is that the source code is also provided with each and every line explained. The explanation in this way will help research community to not only easily use the code but also they can modify as per their own research requirements. We have used Microsoft Exce

作者: 豐富 時(shí)間: 2025-3-23 04:53

作者: 生意行為 時(shí)間: 2025-3-23 06:37

作者: indicate 時(shí)間: 2025-3-23 10:35

作者: Myofibrils 時(shí)間: 2025-3-23 17:52

作者: 工作 時(shí)間: 2025-3-23 19:38
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作者: ANN 時(shí)間: 2025-3-24 00:06

作者: 格子架 時(shí)間: 2025-3-24 06:26

作者: excrete 時(shí)間: 2025-3-24 08:29
Advance Concepts in RST,In the last chapter, we discussed some basic concepts of rough set theory. In this chapter we will present advance concepts in RST including some improved definitions, their examples and hybridization with fuzzy set theory.

作者: amphibian 時(shí)間: 2025-3-24 13:17
Rough Set-Based Feature Selection Techniques,Rough set theory has been successfully used for feature selection techniques. The underlying concepts provided by RST help find representative features by eliminating the redundant ones. In this chapter, we will present various feature selection techniques which use RST concepts.

作者: Middle-Ear 時(shí)間: 2025-3-24 16:33

作者: JECT 時(shí)間: 2025-3-24 21:26
Critical Analysis of Feature Selection Algorithms,rvised learning and unsupervised learning. In this chapter we will provide analysis of different RST-based feature selection algorithms. With explicit discussion on their results, different experiments were performed to compare the performance of algorithms. We will focus on RST-based feature selection algorithms.

作者: BOOST 時(shí)間: 2025-3-25 02:13
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

作者: bypass 時(shí)間: 2025-3-25 05:29

作者: chastise 時(shí)間: 2025-3-25 10:27

作者: 小丑 時(shí)間: 2025-3-25 12:46
n of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work witho978-981-13-5278-2978-981-10-4965-1

作者: 搖曳的微光 時(shí)間: 2025-3-25 19:16

作者: Axon895 時(shí)間: 2025-3-25 20:59
Muhammad Summair Raza,Usman Qamar, political and historical issues around the working and reform of the civil service and the government machine, the policy-making process, and the experience in office of Labour and Conservative governments from the 1940s to the 1970s. ? ? ? ? ? ? ? ? ? ?;;;;;;;;;;; ? ? ?978-1-137-57159-5Series ISSN 2947-4221 Series E-ISSN 2947-423X

作者: 僵硬 時(shí)間: 2025-3-26 00:28