Results 31 to 40 of about 63,468 (158)
WOUND UP MALAYSIAN COMPANIES' PATTERN EXPLORATION USING DATA MINING METHODS
Asia-Pacific Journal of Information Technology and Multimedia, 2015 A company is wound up when the company is unable to pay financial debts or is experiencing serious financial distress. From the year 1998 until 2003, an average of 1166 companies were wound up yearly. This research focuses on the knowledge exploration of
Suhaila Zainudin +3 more
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Iraqi Journal for Computers and Informatics, 2002 Association rules discovery has emerged as a very important problem in knowledge discovery in database and data mining. A number of algorithms is presented to mine association rules.
Hussien Al-Khafaji +2 more
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Detection of Fuzzy Association Rules by Fuzzy Transforms
Advances in Fuzzy Systems, 2012 We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
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Inferring gene-gene associations from Quantitative Association Rules [PDF]
2011 11th International Conference on Intelligent Systems Design and Applications, 2011 Junta de Andalucía P07-TIC ...
María Martínez-Ballesteros +2 more
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Efficient mining fuzzy association rules from ubiquitous data streams
Alexandria Engineering Journal, 2015 Due to the development in technology, a number of applications such as smart mobile phone, sensor networks and GPS devices produce huge amount of ubiquitous data in the form of streams. Different from data in traditional static databases, ubiquitous data
Amal Moustafa +2 more
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PPQAR: Parallel PSO for quantitative association rule mining [PDF]
Peer-to-Peer Networking and Applications, 2018 Mining quantitative association rules is one of the most important tasks in data mining and exists in many real-world problems. Many researches have proved that particle swarm optimization(PSO) algorithm is suitable for quantitative association rule mining (ARM) and there are many successful cases in different fields.
Danfeng Yan +3 more
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Audit fees prediction using fuzzy models [PDF]
Problems and Perspectives in Management, 2016 The current study aims to predict the optimal amount of independent audit fees based on the factors influencing audit fees. To identify the factors influencing audit fees, the stakeholders of 30 auditing firms, members of the Iranian Association of ...
Mahdi Salehi +2 more
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Frontiers in Psychology, 2023 International organizations such as the UN and UNESCO set priority goals for education in the 21st century. This article shows the educational contribution of the Traditional Sporting Game (TSG) of Bear Guardian and Hunters that involves the three ...
Pere Lavega-Burgués +3 more
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Using quantitative information for efficient association rule generation [PDF]
Journal of the Brazilian Computer Society, 2000 The problem of mining association rules in categorical data presented in customer transactions was introduced by Agrawal, Imielinski and Swami [2]. This seminal work gave birth to several investigation efforts [4, 13] resulting in descriptions of how to extend the original concepts and how to increase the performance of the related ...
Pôssas, Bruno +3 more
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Machine Learning with Applications, 2021 International economics has a long history of improving our understanding of factors causing trade, and the consequences of free flow of goods and services across countries.
Feras A. Batarseh +3 more
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