Results 41 to 50 of about 10,917,671 (339)

Semi-supervised attribute reduction

, 2021
These are research data related to the paper "Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels", which is submitted for consideration for publication in Information Sciences. The source codes (Python 3.6)
Gao, C (via Mendeley Data), Zhou, Jie
core   +1 more source

Genetic Programming for Attribute Construction in Data Mining [PDF]

, 2003
For a given data set, its set of attributes defines its data space representation. The quality of a data space representation is one of the most important factors influencing the performance of a data mining algorithm.
Silva, Monique M.S, Otero, Fernando E.B., Monique M. S. Silva, Alex A. Freitas, Julio C. Nievola, Nievola, Julio C., Freitas, Alex A., Fernando E. B. Otero   +7 more
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Local Indiscernibility Relation Reduction for Information Tables

IEEE Access, 2022
Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements.
Xu Li, Jianguo Tang, Jiyong Tang
doaj   +1 more source

The flow chart of the rough set attribute reduction algorithm.

, 2023
The flow chart of the rough set attribute reduction algorithm.
Siyuan Chang (4805916), Zunce Wang (17457878), Minzheng Jiang (9647811), Yi fang Yin (17457875)   +3 more
core   +1 more source

Attribute Reduction and Information Granularity [PDF]

Journal of Systemics, Cybernetics and Informatics, 2003
In the view of granularity, this paper analyzes the influence of three attribute reducts on an information system, finding that the possible reduct and m - decision reduct will make the granule view coarser, while discernible reduct will not change the ...
Li-hong Wang, Geng-feng Wu
doaj  

Assessing brand image through communalitites and asymmetries brand-to-attribute and attribute-to-brand associations. [PDF]

, 2005
Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations ...
Torres, Anna, Bijmolt, Tammo H. A., Bijmolt, Tammo, Torres Lacomba, Anna   +3 more
core   +1 more source

Efficient Attribute Reduction Algorithm [PDF]

, 2004
Efficiency of algorithms is always an important issue concerned by so many researchers. Rough set theory is a valid tool to deal with imprecise problems. However, some of its algorithms’ consuming time limits the applications of rough set. According to this, our paper analyzes the reasons of rough set algorithms’ inefficiency by focusing on two ...
Zhongzhi Shi, Shaohui Liu, Zheng Zheng 0001   +2 more
openaire   +2 more sources

Three-way attribute reducts

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xianyong Zhang, Duoqian Miao 0001
openaire   +2 more sources

Incremental attribute reduction in incomplete decision systems

, 2012
According to whether the underlying information decision system varies with time, methods for attribute reduction can be categoried as static and dynamic two groups.
Hong Shen, Wenhao Shu, Shu, W., Shen, H.
core   +1 more source

An Improved Attribute Reduction Algorithm Based on Discriminability Matrix

, 2011
Attribute reduction can simplify condition attributes in the decision table, while the simplified decision table has same functionality with that before simplification.
Wei Du, Wei Wang
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