LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "attribute reduction" as a keyword



Rough set methods in feature selection via submodular function

Sign Up to like & get
recommendations! Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-015-2024-7

Abstract: Attribute reduction is an important problem in data mining and machine learning in that it can highlight favorable features and decrease the risk of over-fitting to improve the learning performance. With this regard, rough sets… read more here.

Keywords: reduction; learning performance; function; reduct ... See more keywords
Photo from wikipedia

Uncertainty measurement for heterogeneous data: an application in attribute reduction

Sign Up to like & get
recommendations! Published in 2021 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-021-09978-y

Abstract: In the era of big data, multimedia, hyper-media and social networks are emerging, and the amount of information is growing rapidly. When people participate in the process of massive data processing, they will encounter data… read more here.

Keywords: uncertainty measurement; uncertainty; application; heterogeneous data ... See more keywords

Semi-supervised attribute reduction for hybrid data

Sign Up to like & get
recommendations! Published in 2024 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-023-10642-w

Abstract: Due to the high cost of labelling data, a lot of partially hybrid data are existed in many practical applications. Uncertainty measure (UM) can supply new viewpoints for analyzing data. They can help us in… read more here.

Keywords: information; attribute reduction; supervised attribute; semi supervised ... See more keywords

A neighborhood classifier based on adaptive radius selection and attribute reduction

Sign Up to like & get
recommendations! Published in 2024 at "International Journal of General Systems"

DOI: 10.1080/03081079.2024.2436887

Abstract: Due to the capacity to process numerical data and generate highly interpretable results, neighborhood rough set theory has been widely used for data classification. However, there are two drawbacks that limit its performance. One is… read more here.

Keywords: neighborhood classifier; attribute reduction; radius; neighborhood ... See more keywords

A Novel Function Mining Algorithm Based on Attribute Reduction and Improved Gene Expression Programming

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2911890

Abstract: It is very interesting and important to determine the function model for remote-sensing data. The existing statistical and artificial intelligence models still have some defects. The statistical models rely heavily on prior knowledge and cannot… read more here.

Keywords: remote sensing; attribute reduction; algorithm based; sensing data ... See more keywords

Attribute Reduction Method Based on Generalized Grey Relational Analysis and Decision-Making Trial and Evaluation Laboratory

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3014237

Abstract: Attribute reduction is a challenging issue in intelligent manufacturing. Existing methods are mainly based on rough set theory (RST) focusing on symbolic and discrete values. However, classical RST doesn’t consider the complex interrelationship among conditional… read more here.

Keywords: decision; attribute; method; conditional attributes ... See more keywords

Information Entropy-Based Attribute Reduction for Incomplete Set-Valued Data

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2021.3138961

Abstract: This paper investigates attribute reduction for incomplete set-valued data based on information entropy. The similarity degree between information values on a conditional attribute of an incomplete set-valued decision information system (ISVDIS) is first proposed. Then,… read more here.

Keywords: information; information entropy; attribute reduction; set valued ... See more keywords

Local Indiscernibility Relation Reduction for Information Tables

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3193791

Abstract: Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements. The aim of attribute reduction is to reduce the complexity of… read more here.

Keywords: attribute reduction; local indiscernibility; indiscernibility relation; relation reduction ... See more keywords

Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2018.2834390

Abstract: Attribute reduction with many patterns and indicators has been regarded as an important approach for large-scale data mining and machine learning tasks. However, it is extremely difficult for researchers to inadequately extract knowledge and insights… read more here.

Keywords: quantum leaping; attribute reduction; fuzzy attribute; neuro cognitive ... See more keywords

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.

Sign Up to like & get
recommendations! Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3208130

Abstract: Neighborhood classification (NEC) algorithms have been widely used to solve classification problems. Most traditional NEC algorithms employ the majority voting mechanism as the basis for final decision making. However, this mechanism hardly considers the spatial… read more here.

Keywords: classification; attribute reduction; neighborhood; rough evidence ... See more keywords

Novel Incremental Algorithms for Attribute Reduction From Dynamic Decision Tables Using Hybrid Filter–Wrapper With Fuzzy Partition Distance

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2019.2948586

Abstract: Attribute reduction from decision tables has been much focused in recent years in which the incremental methods of the tradition rough set and extended models are mostly used for adding, removing, or updating the object… read more here.

Keywords: dynamic decision; attribute reduction; decision tables; using hybrid ... See more keywords