Evolutionary algorithms and fuzzy sets for discovering temporal rules

Matthews, Stephen G.; Góngora, Mario; Hopgood, Adrian A.

doi:10.2478/amcs-2013-0064

Cited by 9 publications

(2 citation statements)

References 53 publications

(72 reference statements)

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“…In addition, an analysis of the results obtained by other scientists in recent years was carried out with reference to specific publications [3][4][5][6][7][8][9][10][11][12], and:…”

Section: Main Materialsmentioning

confidence: 99%

Data collection and accumulation of media resources using artificial intelligence

Tsiutsiura,

Yerukaiev,

Khorolska

et al. 2023

MDCS

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In this difficult time in which our country found itself, information technology has become the force that is successfully used against the aggressive actions of the enemy. The armed forces, in addition to the necessary physical assistance, are quite significantly helped in the information sphere, in particular, from the side of the scientific community. Different directions and branches of computer science are combined to get an effective way to achieve the desired victory and the long-awaited peace and prosperity. In this article, the authors offer their vision in the implementation of technology for evaluating information coming from various media sources. For this, one of the most widely used areas of information technology – artificial intelligence – was involved in the research. As you know, AI includes a sufficiently wide and complete set of models and methods for working out various practical problems. In particular, the authors focused on "soft" calculations, that is, the use of neural networks, fuzzy sets, and genetic algorithms in combination with methods from another area of AI – intelligent data analysis. All the above-mentioned ideas are suggested to be considered in the rationale before creating a scientific project. In this article, foreign and domestic sources will be analyzed in detail in order to identify common and distinctive features with the author's ideas. Particular attention will be paid to those components that are not disclosed in other works and are proposed for development in this project. The object, the subject of research, the goal will also be indicated, the scientific and practical novelty of the implementation of the ideas disclosed in this work will be revealed. In addition, the advantages of using the proposed methods for solving not only the task of processing and evaluating information from various media sources will be described, but also the benefit of their application in other critical military tasks will be shown. Thus, the authors set themselves the goal of helping our defenders implement an approach based on the application of artificial intelligence. This article covers only proposals with their detailed scientific justification. So, summarizing all of the above, the work reveals a theoretical-applied approach at the level of revealing the basic ideas for creating a project. In the following works by the authors, after the presentation of the research base, more attention will be paid to already mathematical methods of description and coverage of the conducted experimental studies.

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“…In addition, an analysis of the results obtained by other scientists in recent years was carried out with reference to specific publications [3][4][5][6][7][8][9][10][11][12], and:…”

Section: Main Materialsmentioning

confidence: 99%

Data collection and accumulation of media resources using artificial intelligence

Tsiutsiura,

Yerukaiev,

Khorolska

et al. 2023

MDCS

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“…For instance, in Y.-P. Huang and Kao (2005) and Y.-P. Huang, Kao, and Sandnes (2007) the authors propose an extension of some classical algorithms (Apriori and PrefixSpan) which consider a user-defined sliding window to generate only the fuzzy rules whose span is less than or equal to this window. Evolutionary algorithms have also been used to learn membership function contexts for mining the fuzzy rules (Matthews, Gongora, & Hopgood, 2011;Matthews, Gongora, & Hopgood, 2013).…”

Section: Intertransaction Categorymentioning

confidence: 99%

Temporal association rule mining: An overview considering the time variable as an integral or implied component

Segura‐Delgado

Gacto

Alcalá

et al. 2020

WIREs Data Min & Knowl

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Association rules are commonly used to provide decision‐makers with knowledge that helps them to make good decisions. Most of the published proposals mine association rules without paying particular attention to temporal information. However, in real‐life applications data usually change over time or presenting different temporal situations. Therefore, the extracted knowledge may not be useful, since we may not know whether the rules are currently applicable or whether they will be applicable in the future. For this reason, in recent years, many methods have been proposed in the literature for mining temporal association rules, which introduce a greater predictive and descriptive power providing an additional degree of interestingness. One of the main problems in this research field is the lack of visibility most works suffer since there is no standard terminology to refer to it, making it difficult to find and compare proposals and studies in the field. This contribution attempts to offer a well‐defined framework that allows researchers both to easily locate the previous proposals and to propose well‐grounded methods in the future. To accomplish both objectives, a two‐level taxonomy is proposed according to whether the time variable is considered to provide order to the data collection and to locate some temporal constraints, or whether it is considered as an attribute within the learning process. Some recent applications, available software tools, and a bibliographical analysis in accordance with the Web of Science are also shown. Finally, some critical considerations and potential further directions are discussed. This article is categorized under: Technologies > Association Rules Algorithmic Development > Association Rules

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Utilizing Bat Algorithm to Optimize Membership Functions for Fuzzy Association Rules Mining

Song

Ding

et al. 2017

Lecture Notes in Computer Science

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Evolutionary algorithms and fuzzy sets for discovering temporal rules

Cited by 9 publications

References 53 publications

Data collection and accumulation of media resources using artificial intelligence

Data collection and accumulation of media resources using artificial intelligence

Temporal association rule mining: An overview considering the time variable as an integral or implied component

Utilizing Bat Algorithm to Optimize Membership Functions for Fuzzy Association Rules Mining

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