Results 21 to 30 of about 4,817,340 (289)

Improving the accuracy of classification algorithms for inductive learning rules using wrapper methods [PDF]

Tehnika, 2015
In this paper we investigate the problem of the accuracy of classifier using wrapper methods. For the purposes of classification is used a large number of algorithms: IBK, Naïve Bayes, SVM, J48 decision tree and RBF networks.
Novaković Jasmina Đ.
doaj   +1 more source

Selection of Additive Manufacturing Machines via Ontology-Supported Multi-Attribute Three-Way Decisions

Applied Sciences, 2023
Selection of a suitable additive manufacturing (AM) machine to manufacture a specific product is one of the important tasks in design for AM. So far, many selection approaches based on multi-attribute decision making have been proposed within academia ...
Meifa Huang, Bing Fan, Long Chen, Yanting Pan, Yuchu Qin   +4 more
doaj   +1 more source

Research on Big Data Attribute Selection Method in Submarine Optical Fiber Network Fault Diagnosis Database

Polish Maritime Research, 2017
At present, in the fault diagnosis database of submarine optical fiber network, the attribute selection of large data is completed by detecting the attributes of the data, the accuracy of large data attribute selection cannot be guaranteed. In this paper,
Chen Ganlang
doaj   +1 more source

Performance Evaluation of a Proposed Machine Learning Model for Chronic Disease Datasets Using an Integrated Attribute Evaluator and an Improved Decision Tree Classifier

Applied Sciences, 2020
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity and the quality of daily life. The treatment of these disorders is a challenging task for medical professionals.
Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Akash Kumar Bhoi, Alfonso González-Briones   +4 more
doaj   +1 more source

When Will You Have a New Mobile Phone? An Empirical Answer From Big Data

IEEE Access, 2016
When and why people change their mobile phones are important issues in mobile communications industry, because it will impact greatly on the marketing strategy and revenue estimation for both mobile operators and manufactures.
Qingli Ma, Sihai Zhang, Wuyang Zhou, Shui Yu, Chonggang Wang   +4 more
doaj   +1 more source

A Green Supply Chain Member Selection Method Considering Green Innovation Capability in a Hesitant Fuzzy Environment

Axioms, 2023
The purpose of this paper is to propose an improved hesitation fuzzy multi-attribute decision-making method to realize green supply chain member selection under green innovation vision.
Jiafu Su, Baojian Xu, Lvcheng Li, Dan Wang, Fengting Zhang   +4 more
doaj   +1 more source

Automatic attribute threshold selection for morphological connected attribute filters [PDF]

Pattern Recognition, 2016
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. In attribute filters, till date setting the attribute-threshold parameters has to be done manually. This research explores novel, simple, fast and automated methods of computing attribute threshold parameters based on
Kiwanuka, Fred N., Wilkinson, Michael H. F.   +1 more
openaire   +1 more source

Metric and Accuracy Ranked Feature Inclusion: Hybrids of Filter and Wrapper Feature Selection Approaches

IEEE Access, 2021
Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor ...
G. S. Thejas, Rameshwar Garg, S. S. Iyengar, N. R. Sunitha, Prajwal Badrinath, Shasank Chennupati   +5 more
doaj   +1 more source

Data mining as a hatchery process evaluation tool

Scientia Agricola, 2019
The hatchery is one of the most important segments of the poultry chain, and generates an abundance of data, which, when analyzed, allow for identifying critical points of the process .
Daniela Regina Klein, Marcos Martinez do Vale, Mariana Fernandes Ribas da Silva, Micheli Faccin Kuhn, Tatiane Branco, Mauricio Portella dos Santos   +5 more
doaj   +1 more source

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

IEEE Access, 2022
An important feature of the wireless network scenario is that there are multi- radio access technologies in the same area, and the signal coverage of these networks overlaps each other, forming the heterogeneous wireless network area.
Xiaoxue Guo, Mohd. Hasbullah Omar, Khuzairi Mohd Zaini, Gen Liang, Maoyuan Lin, Zirun Gan   +5 more
doaj   +1 more source