Using distributed apriori association rule and classical apriori mining algorithms for grid based knowledge discovery

Sumithra, R.; Paul, Sujni

doi:10.1109/icccnt.2010.5591577

Cited by 18 publications

(7 citation statements)

References 1 publication

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“…Inicialmente proposto por R.Agrawal e R.Srikant, em 1994, baseia-se no conhecimento prévio das propriedades frequentes dos itens (Sumithra & Paul, 2010). Este algoritmo pode produzir uma grande quantidade de regras desinteressantes.…”

Section: Regras De Associaçãounclassified

Um Experimento Inicial sobre Associações entre os Crimes Ocorridos no Brasil

Gomes

Júnior

Prado

2020

RSD

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Contexto: A criminalidade tem sido um problema ao redor do mundo, causando danos às sociedades. Educação, pobreza, emprego e clima são alguns fatores que afetam a taxa de criminalidade, levando as autoridades a gastar, anualmente, milhões com ações de combate à violência e planos estratégicos de prevenção e redução da criminalidade. Objetivo: Aplicar conceitos de Data Science para análise de dados governamentais relacionados a crimes no Brasil. Método: Uso de mineração de dados, especificamente regras de associação (RA), em um experimento controlado, para detecção de padrões entre os tipos de crimes, como também entre os tipos de crime e meses do ano. Resultados: No contexto das associações entre crimes, os estados com regras mais interessantes foram: Bahia, com 15 associações, São Paulo, com 12, Goiás, 11, e Paraná, com 9. Destaque para a associação “Latrocínio Roubo de Carga”, encontrada para o Estado da Bahia, a qual atingiu uma confiança de 99% (0.99). Já no âmbito das associações entre crimes e meses do ano, avultaram-se Paraíba, com 2 associações, Maranhão, Rondônia e São Paulo, com 1 associação cada. Destaque para regra “Dezembro Roubo de Veículo”, encontrada para o Estado de São Paulo, que alcançou uma confiança de 84% (0,84). Conclusão: Os resultados expostos nesta pesquisa auxiliam analistas criminais no processo de tomada de decisão para prevenção e redução da criminalidade no país, uma vez que podem permitir a inibição de crimes que são antecedentes de outras ocorrências dentro do mesmo estado ou de crimes que ocorrem num mesmo período.

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Section: Regras De Associaçãounclassified

Um Experimento Inicial sobre Associações entre os Crimes Ocorridos no Brasil

Gomes

Júnior

Prado

2020

RSD

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“…In the first iteration, all item sets that have k-items will be found, called k-item set. The main characteristic of Apriori algorithms is that all subset of frequent item sets are also applying frequent item sets [9]. The principles of Apriori algorithm are: 1) Collect a number of single items, get large items 2) Get a candidate pairs, count → large pairs of items 3) Get candidate triplets, count → large triplets from items and so on 4) For instructions: each subset of a frequent item set must be frequent The two main processes in Apriori algorithm are steps that will be taken to obtain frequent item sets.…”

Section: Apriori Algorithmmentioning

confidence: 99%

“…Iteration i calculates all data sets i (data set containing element i) that often appears. Each iteration consists of two steps, namely a candidate generation and candidate counting and selection (selection and calculation of candidates) [9].…”

Section: Apriori Algorithmmentioning

confidence: 99%

Consumer Customs Analysis Using the Association Rule and Apriori Algorithm for Determining Sales Strategies in Retail Central

Mujianto¹,

Mashuri²,

Andriani³

et al. 2019

E3S Web Conf.

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The sustainability of a company will not be separated from the role of consumers in conducting transactions. In fact, a consumer has different behaviour and character, therefore as a company owner must be able to analyze the patterns or habits of consumers in making transactions. This also happens in the retail center X, which has problems in the sales process, such as products running out of stock and unsold products and the most popular products and products that are not in demand by consumers. Therefore we need an analysis of consumer habits in conducting transactions. The method of association rule with Apriori algorithm is able to be applied well in the analysis of the habits of consumer transactions in the central retail X. The results of the calculation obtained an average percentage of the value of support 33%-40% and the value of confidence 43%-80%. The results of applying the association rule method with Apriori algorithm can help recommend central retail X owners in structuring product and determine strategic steps in increasing sales, such as providing discounts or promos for certain products.

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“…The simulation results indicate that the proposed algorithm is a technique with better accuracy and human understandable classification scheme. Sumithra et al, [4] presented a distributed Apriori algorithm association rule mining and classical Apriori mining algorithms for grid based knowledge discovery. The author provides the distributed data mining applications offers an effective utilization of multiple processors and databases to accelerate the execution of data mining and facilitate data distribution.…”

Section: Introductionmentioning

confidence: 99%

Association rule with frequent pattern growth algorithm for frequent item sets mining

Wisaeng¹

2014

ams

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Frequent item sets mining from the transaction dataset is one of the most challenging problems in data mining approaches. In many real world scenarios, the information is not extracted from a single data source, but from distributed and heterogeneous ones. Therefore, the discovered knowledge in this paper is generating association rules using frequent pattern growth algorithms for transactional market basket analysis dataset is presented. The process of rule discovery is illustrated on a dataset containing transactions of customers of the supermarket. The experimental results show that provides excellent market basket analysis performance even on a big data sets.

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Using distributed apriori association rule and classical apriori mining algorithms for grid based knowledge discovery

Cited by 18 publications

References 1 publication

Um Experimento Inicial sobre Associações entre os Crimes Ocorridos no Brasil

Um Experimento Inicial sobre Associações entre os Crimes Ocorridos no Brasil

Consumer Customs Analysis Using the Association Rule and Apriori Algorithm for Determining Sales Strategies in Retail Central

Association rule with frequent pattern growth algorithm for frequent item sets mining

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