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Chartwut Thanajiranthorn and Panida Songram
Associative classification (AC) is a mining technique that integrates classification and association rule mining to perform classification on unseen data instances. AC is one of the effective classification techniques that applies the generated rules to ...
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Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
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Enrico Ferrari, Damiano Verda, Nicolò Pinna and Marco Muselli
Optimizing water distribution both from an energy-saving perspective and from a quality of service perspective is a challenging task since it involves a complex system with many nodes, many hidden variables and many operational constraints. For this reas...
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Kainan Guan, Yang Sun, Guang Yang and Xinhua Yang
Parts of our research have been applied to decision making in the welding manufacturing process of rail vehicles. We predict that this research will be of value to the design of welding manufacturing process decisions in different industries.
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Fang Ding, Lin Wang, Iryna Dronova and Kun Cao
Beijing-1 and ENVISAT ASAR images were used to classify wetland aquatic macrophytes in terms of their plant functional types (PFTs) over the Poyang Lake region, China. Speckle noise filtering, systematic sensor calibration within the same polarization or...
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Suhwan Lee, Marco Comuzzi and Nahyun Kwon
The development of models for process outcome prediction using event logs has evolved in the literature with a clear focus on performance improvement. In this paper, we take a different perspective, focusing on obtaining interpretable predictive models f...
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Consolata Gakii, Paul O. Mireji and Richard Rimiru
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Asmaa M. Aubaid and Alok Mishra
With the growth of online information and sudden expansion in the number of electronic documents provided on websites and in electronic libraries, there is difficulty in categorizing text documents. Therefore, a rule-based approach is a solution to this ...
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O. M. Lukianova
Pág. 260 - 266
In the article a classification of techniques of estimation of economic efficiency of leasing, where the rule of modeling a currency flow is taken as a criterion, is presented; their advantages and demerits are demonstrated.
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T. S. Verma, K. S. Madhava Rao, Shibu K. John
Pág. 81 - 95
Africa is one of the sources of biomass burning emissions. It is estimated that about 6 million tons of fuel per day is consumed in the southern hemisphere. Biomass burning has an important contribution on aerosol particle concentrations in the atmospher...
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Aris Lanaridis, Giorgos Siolas and Andreas Stafylopatis
Pattern classification is a central problem in machine learning, with a wide array of applications, and rule-based classifiers are one of the most prominent approaches. Among these classifiers, Incremental Rule Learning algorithms combine the advantages ...
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Iván Fredy Jaramillo, Javier Garzás and Andrés Redchuk
Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical...
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Panagiotis Filippakis, Stefanos Ougiaroglou and Georgios Evangelidis
Reducing the size of the training set, which involves replacing it with a condensed set, is a widely adopted practice to enhance the efficiency of instance-based classifiers while trying to maintain high classification accuracy. This objective can be ach...
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E. Onieva, P. Lopez-Garcia, A.D. Masegosa, E. Osaba, A. Perallos
Pág. 4458 - 4467
Accurate estimation of the future state of the traffic is an attracting area for researchers in the field of Intelligent Transportation Systems (ITS). This kind of predictions can lead to traffic managers and drivers to act in consequence, reducing the e...
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Irina Polyakova,Ekaterina Filimonova
Pág. 54 - 58
The paper proposes a concept of the computer system for controlling knowledge of punctuation in the Russian language. The system is based on the algorithm for the identifying a suitable comma rule in the given sentence. The mentioned algorithm uses a for...
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Yesta Medya Mahardhika, Amang Sudarsono, Ali Ridho Barakbah
Pág. 1 - 21
Botnet is a malicious software that often occurs at this time, and can perform malicious activities, such as DDoS, spamming, phishing, keylogging, clickfraud, steal personal information and important data. Botnets can replicate themselves without user co...
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Chen Fu and Jianhua Yang
The problem of classification for imbalanced datasets is frequently encountered in practical applications. The data to be classified in this problem are skewed, i.e., the samples of one class (the minority class) are much less than those of other classes...
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Wenzhong Yang, Tingting Yuan and Liejun Wang
Integrated learning can be used to combine weak classifiers in order to improve the effect of emotional classification. Existing methods of emotional classification on micro-blogs seldom consider utilizing integrated learning. Personality can significant...
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Jeremias Tilander, Matthew Patey and Spyros Hirdaris
Traditionally, the evaluation of global loads experienced by passenger ships has been based on closed-form Classification Society Rule formulae or quasi direct analysis procedures. These approaches do not account for the combined influence of hull flexib...
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