Results 21 to 30 of about 5,061,029 (315)

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

Real estate stock selection and attribute preferences [PDF]

, 2011
The majority of studies that explore property portfolio construction and management strategies utilise highly aggregated ex-post data, but stock selection is known to be a significant determinant of portfolio performance.
Allison Orr, Ball M., Cath Jackson, Churchill G.A., Gallimore P., Gallimore P., Preston V., Wofford L.E.   +7 more
core   +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

Automatic annotation of X-ray images: a study on attribute selection [PDF]

, 2010
Advances in the medical imaging technology has lead to an exponential growth in the number of digital images that need to be acquired, analyzed, classified, stored and retrieved in medical centers.
Cetin, Mujdat, Ekin, Ahmet, Ercil, Aytul, Erçil, Aytül, Soldea, Octavian, Unay, Devrim, Çetin, Müjdat, Ünay, Devrim   +7 more
core   +1 more source

A Binary Neural Network Framework for Attribute Selection and Prediction [PDF]

, 2012
In this paper, we introduce an implementation of the attribute selection algorithm, Correlation-based Feature Selection (CFS) integrated with our k-nearest neighbour (k-NN) framework.
Austin, Jim, Hodge, Victoria Jane, Jackson, Tom   +2 more
core   +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

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

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

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

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