Are data-mining techniques useful for selecting ecological indicators in biodiverse regions? Bridges between market basket analysis and indicator value analysis from a case study in the neotropics

Leote, Pedro; Cajaíba, Reinaldo Lucas; Cabral, João Alexandre; Brescovit, Antônio D.; Santos, Mário

doi:10.1016/j.ecolind.2019.105833

Cited by 14 publications

(7 citation statements)

References 68 publications

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“…Second, the con dence (C) is the value that allows indicating the probability of nding a habitat if a given species combination is found. Finally, the third one is the lift (L), which is a method to measure the correlation between the species group and the community (Leote et al 2020). Because of ISA is only used for the species and their characteristics among the screening community, it does not have the relevant information between the characteristic species and the species and the community.…”

Section: Discussionmentioning

confidence: 99%

Assessing Community Distribution Characteristics and Succession Stages on Mountainous Areas Hosting Coming Winter Olympics Games

Zhang

Zha

et al. 2021

Preprint

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BackgroundThe Yin Mountains located in China within the Chongli Country will be the core area of the 2022 Winter Olympic Games. It is necessary to survey the key factors limiting the vegetation communities’ development so as to guide the vegetation restoration after major events in this region.MethodsTwo-way indicator species analysis (TWINSPAN) and market basket analysis (MBA) were used to classify the vegetation communities. Plant community and relationships among environmental variables were assessed through the detrended correspondence (DCA) and canonical correspondence (CCA) analyses.ResultsSoil moisture and organic matter were found the main factors limiting the development of shrub and herb communities. The distribution of different forest communities was mainly affected by geomorphological factors. In middle and high altitude areas, apart of arbor and shrub communities generally showed the process of transformation from the pioneer community to transitional community in the competition.ConclusionWe concluded that providing the basis to understand the environmental factors that restrict the development of vegetation communities in the eastern Yin Mountains and its potential changes after human impacts, in this case, the Winter Olympic Games, could help to more efficient restoration plans.

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Section: Discussionmentioning

confidence: 99%

Assessing Community Distribution Characteristics and Succession Stages on Mountainous Areas Hosting Coming Winter Olympics Games

Zhang

Zha

et al. 2021

Preprint

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“…The analyses produced findings about the positioning of product shelves in supermarkets. In their study, Leote et al (2020) suggested using Market Basket Analysis (MBA), a data mining method designed to analyse huge amounts of data and mathematically comparable to Indicator Value Analysis (IndVal), which is utilized in ecological monitoring research.As predicted, market basket analysis was successful in selecting ecological indicators in datasets where IndVal failed, as well as ecological indicators without species preselection. The authors draw the conclusion that under such circumstances and using objective association criteria, market basket analysis can be utilized to choose ecological indicators that can subsequently be processed and summarized using the IndVal technique.…”

Section: Literature Reviewmentioning

confidence: 99%

Apri̇ori̇ Algori̇tmasi İle Akilli Telefon Pi̇yasa Anali̇zi̇: Türki̇ye Örneği̇

Özçalıcı

SOYSAL²

2023

ijmeb

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With the disappearance of the borders among the countries, competition has been moved to an international level. With the customer-oriented marketing understanding, customers have become the most important assets of the enterprises. With the global continuation of competition, carrying out different marketing activities for their current customers and potential customers has become a necessity for the enterprises to ensure continuity. At the point of being able to carry out correct delivery regarding the product and service preferences of the customers, the enterprises’ need for further customer data has emerged. In the context of reaching further data and interpreting the data, data mining has become an important topic for the enterprises. With this study, it has been aimed to analyze, with the association rules, the technical features of the mobile phones having iOS and Android operating systems and to identify which technical features appear together. Trials were conducted on in how many categories the data will be categorized and the dataset was discretized into the category number revealing the highest performance values. The achieved results will be helpful for a clearer understanding of the features of the products available in the mobile phone market.

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“…Salah satu penelitian bertujuan dalam menggunakan market basket analysis pada sektor kesehatan dengan mencari penyakit yang sering terjadi secara bersamaan dengan menggunakan algoritma apriori. Penggunaan ini bisa membantu memberikan dukungan kepada daerah untuk waspada dengan penyakit yang sering terjadi dan memberikan kemudahan kepada tenaga kesehatan untuk menyiapkan pengobatan dan fasilitas kesehatan (Leote et al, 2020). Penggunaan AR-MBA memiliki banyak manfaat dalam melakukan peningkatan penjualan dan tata letak hal tersebut dikarenakan AR-MBA bisa memprediksi perilaku masyarakat dalam berbelanja.…”

Section: Pendahuluanunclassified

Analisis Data Mining Pembelian dengan Association Rule Market Basket Analysis menggunakan algoritma FP-Growth

Dio,

Hidayati,

Arifin

et al. 2023

Pasti

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Pertumbuhan ekonomi di Indonesia menunjukkan kenaikkan dari tahun ke tahun. Salah satu bentuk dari peningkatan pertumbuhan ekonomi di Indonesia adalah dengan meningkatnya daya beli masyarakat. Kenaikan daya beli masyarakat berbanding lurus dengan meningkatnya kehadiran retail di Indonesia. Menghadapi persaingan yang dilakukan dari setiap retail berlomba-lomba untuk melakukan penjualan barang yang sering dibeli oleh masyarakat. Untuk mengetahui data historis ada retail dilakukan dengan AR-MBA untuk memodelkan hubungan produk yang dibeli secara bersamaan. Sehingga tujuan penelitian ini yaitu melihat pembelian antar produk pada suatu retail dengan AR-MBA menggunakan FP-Growth. Penelitian ini menggunakan 450 data dari hasil transaksi pada suatu retail. Hasil penelitian yang didapatkan adalah terdapat 8 associatioan rule terbentuk dengan nilai lift rasio > 1 serta tingkat kepercayaan minimal 30% dari setiap hubungan terbentuk. Berdasarkan 8 rule selanjutnya dilakukan perancangan layout usulan untuk meningkatkan efiseiensi pelanggan saat berbelanja.

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Are data-mining techniques useful for selecting ecological indicators in biodiverse regions? Bridges between market basket analysis and indicator value analysis from a case study in the neotropics

Cited by 14 publications

References 68 publications

Assessing Community Distribution Characteristics and Succession Stages on Mountainous Areas Hosting Coming Winter Olympics Games

Assessing Community Distribution Characteristics and Succession Stages on Mountainous Areas Hosting Coming Winter Olympics Games

Apri̇ori̇ Algori̇tmasi İle Akilli Telefon Pi̇yasa Anali̇zi̇: Türki̇ye Örneği̇

Analisis Data Mining Pembelian dengan Association Rule Market Basket Analysis menggunakan algoritma FP-Growth

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