Rare-PEARs: A new multi objective evolutionary algorithm to mine rare and non-redundant quantitative association rules

Almasi, Mehrdad; Abadeh, Mohammad Saniee

doi:10.1016/j.knosys.2015.07.016

Cited by 25 publications

(6 citation statements)

References 54 publications

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“…At the beginning of the iteration, it is often expected that the evolution can be accelerated. Hence, relatively high crossover probability and low variation probability are required [ 19 , 20 ]. As the number of iterations increases, the similarity between individuals of the population will become higher, which can cause the genetic algorithm to fall into the local solution.…”

Section: Methodology and Algorithmmentioning

confidence: 99%

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Tian¹

2022

Computational Intelligence and Neuroscience

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The random and disordered configuration of expression package image, text, and context is in line with the emotional consumption trend of young groups, so it has become a kind of image symbol favored by young groups. How to integrate the text and images related to emoticons and carry out emotion analysis in a specific consumer environment is the focus of attention. In view of these needs and defects, this study uses the association rule algorithm in data mining technology to explore brand marketing targeting different consumers. Taking the nonverbal symbols on social media as the research object, this study collects and mines the download ranking and appreciation of the expression package of “WeChat expression open platform.” The persistence of users’ use of expression package has the characteristics of power distribution. When choosing, there are sprouting attributes and dynamic and serialized selection preferences. The advantages of emoticon package are used, brand communication and marketing are strengthened, and effective brand marketing analysis is implemented. The simulation results show that by taking advantage of the strong communication and appeal of the expression package, the brand will help to expand the contact surface of the marketing brand concept. Secondly, as a gathering community, expression packs are divided into different circle groups between and within groups, which helps brand marketing realize precision marketing based on “strong connection” with the help of expression packs and promote the occurrence of consumer behavior.

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Section: Methodology and Algorithmmentioning

confidence: 99%

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Tian¹

2022

Computational Intelligence and Neuroscience

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“…Yöntemin diğer yöntemlerden ayrılan özelliği, iki önemli amaç olarak ilginçliğe ve gereksizliğe dikkat etmiş olmalarıdır. Rare-PEAR algoritması ilginç, nadir veya nadir ve ilginç kurallar bulmuştur [15]. Kahvazadeh ve Abadeh, nicel verilerde birliktelik kurallarını çıkarmak için MOCANAR isimli meta sezgisel bir algoritma önermişlerdir.…”

Section: öLçütler (Measures)unclassified

Sensitivity Analysis of Non-Dominated Sorting Genetic Algorithm-II for Quantitative Association Rules Mining

Altay

Alataş

2020

Bilişim Teknolojileri Dergisi

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İkili ya da kesikli değerlere sahip veri kümelerine odaklanan birçok birliktelik kural madenciliği çalışması vardır. Ancak, gerçek dünya uygulamalarındaki veriler genellikle nicel değerlerden oluşmaktadır. Nicel veriler için keşfedilecek kurallarda hangi niteliklerin olacağı ve hangilerinin kuralın solunda hangilerinin sağında olacağının belirlenmesi, ilgili nicel aralıkların en uygun şekilde otomatik ayarlanması; kuralların yoğun nesne kümeleri üretilmeden tek aşamada anlaşılabilir, doğru, güvenilir, ilginç, sürpriz vb. özelliklere sahip olacak şekilde bulunması ve tüm bu işlemlerin her veri tabanı için önceden belirlenmesi gereken metriklere ihtiyaç duyulmadan ayarlanması zor bir problemdir. Yakın zamanda bazı araştırmacılar, nicel birliktelik kural madenciliğini, farklı kriterleri aynı anda en iyi şekilde karşılayacak şekilde, çok amaçlı bir problem olarak düşünmüşlerdir. Bu makalede nicel birliktelik kural madenciliği problemi için anlaşılabilirlik, ilginçlik ve performansı en üst düzeye çıkarmayı amaçlayan çok amaçlı evrimsel algoritmalardan baskın olmayan sıralama genetik algoritma-II temelli QAR-CIP-NSGA-II'nin parametre analizi yapılmıştır. Bu amaçla; nitelikleri nicel değerler alan beş gerçek dünya verisinde QAR-CIP-NSGA-II'nin değerlendirme sayısı, popülasyon sayısı, mutasyon olasılığı, genlik ve eşik değeri gibi parametrelerinin; elde edilen kural sayısı, ortalama destek, güven, lift, kesinlik faktörü, netconf ve kapsanan kayıt sayısını nasıl değiştirdiği kapsamlı bir şekilde bildiğimiz kadarıyla ilk kez bu çalışmada gerçekleştirilmiştir. Detaylı analiz sonuçları karşılaştırmalı tablolar ile sunulmuştur ve yorumlanmıştır. Anahtar Kelimeler-nicel birliktelik kural madenciliği, çok amaçlı optimizasyon, baskın olmayan sıralama genetik algoritma-II

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“…Problem solving in numerical data association analysis is generally performed using several approaches, including discretization, distribution and optimization. That the discretization is performed using partitioning and combining, clustering [11], [12] and fuzzy [8] methods, and the optimization approach is solved using the optimized association rule [13], differential evolution [14], GA [3], [7] and PSO [4], [15] as shown in Figure 1.…”

Section: Issn: 2088-8708mentioning

confidence: 99%

Improved optimization of numerical association rule mining using hybrid particle swarm optimization and cauchy distribution

Tahyudin¹,

Nambo²

2019

IJECE

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<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>Particle Swarm Optimization (PSO) has been applied to solve optimization problems in various fields, such as Association Rule Mining (ARM) of numerical problems. However, PSO often becomes trapped in local optima. Consequently, the results do not represent the overall optimum solutions. To address this limitation, this study aims to combine PSO with the Cauchy distribution (PARCD), which is expected to increase the global optimal value of the expanded search space. Furthermore, this study uses multiple objective functions, i.e., support, confidence, comprehensibility, interestingness and amplitude. In addition, the proposed method was evaluated using benchmark datasets, such as the Quake, Basket ball, Body fat, Pollution, and Bolt datasets. Evaluation results were compared to the results obtained by previous studies. The results indicate that the overall values of the objective functions obtained using the proposed PARCD approach are satisfactory.</p></div></div></div>

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Rare-PEARs: A new multi objective evolutionary algorithm to mine rare and non-redundant quantitative association rules

Cited by 25 publications

References 54 publications

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Brand Marketing Leveraging the Advantage of Emoji Pack Relying on Association Rule Algorithm in Data Mining Technology

Sensitivity Analysis of Non-Dominated Sorting Genetic Algorithm-II for Quantitative Association Rules Mining

Improved optimization of numerical association rule mining using hybrid particle swarm optimization and cauchy distribution

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