Results 91 to 100 of about 19,159 (179)
EnergiesThis work proposes an intelligent grey-wolf-optimizer-improved Apriori algorithm (GWO-Apriori) to mine the association rules of hidden dangers in hydrogen pipeline transmission stations.
Chaoming Wang +4 more
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Marker Analysis with APRIORI-based Algorithms
, 2008 . In genetic studies, complex diseases are often analyzed searching for marker patterns that play a significant role in the susceptibility to the disease.
Evelina Lamma +4 more
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Apriori algorithm in datamining and applying apriori algorithm for different datasets
, 2010 Yüksek Lisans TeziGünümüzde teknoloji sayesinde çok büyük miktarda veri elde edilip saklanabilmektedir. Bilindiği gibi veriler tek başlarına değersizdirler. Bu veriler ancak belli bir amaç doğrultusunda işlendiği zaman anlamlı hale gelmektedir.
Gülce, Ali Cenk
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Journal of Information and Technology, 2018 Ketersediaan barang dan kelengkapan barang pada suatu toko adalah elemen yang sangat penting. Sehingga proses manajemen untuk mengatur ketersediaan stok barang sangat diperlukan untuk menghindari penumpukan barang yang sama dan kurang diminati oleh ...
Septian Widjaya
doaj
Improvement of Apriori Algorithm Based on Boolean Matrix
, 2010 This paper introduces the association rules and Apriori algorithm in data mining, considering the disadvantages of Apriori algorithm, a new improved Apriori algorithm based on Boolean matrix is proposed .It scans transaction database only one time, thus ...
Yan Guang Shen, Bin Li Wang
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An approach to improve the efficiency of apriori algorithm
, 2015 Association rule mining has a great importance in data mining. Apriori is the key algorithm in association rule mining. Many approaches are proposed in past to improve Apriori but the core concept of the algorithm is same i.e.
Ritu Sindhu, Sakshi Aggarwal
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Marker Analysis with APRIORI-Based Algorithms
, 2006 In genetic studies, polygenic diseases are often analyzed searching for marker patterns that play a significant role in the susceptibility to the disease.
RIGUZZI, Fabrizio +4 more
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, 2017 Data mining adalah suatu metode pengolahan data yang digunakan untuk menemukan pola yang tersembunyi dari data yang akan diolah. Di dalam data mining terdapat beberapa salah satunya adalah association rule.
Prabowo, Toni
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Research on sensor network optimization based on improved Apriori algorithm
, 2018 Traditional node deployment strategies have problems such as slow deployment, small coverage, and poor service quality. Based on this, this study improves the traditional Apriori.
Shifeng Zhang, Qiang Ji
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Поиск ассоциативных правил с помощью алгоритма apriori [PDF]
, 2019 В данной работе рассмотрены ассоциативные правила. Associations rules learning – ARL представляет из себя, простой, но довольно часто применимый в реальной жизни метод поиска взаимосвязей (ассоциаций) в датасетах, или, если точнее, айтемсетах ...
Марковская, Н. В. +1 more
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