Classification of Agricultural Emissions Among OECD Countries with Unsupervised Techniques by Adam Andrzejuk

“…Clustering analysis is one of the tools used in the field of exploratory data mining. Two methods were used in the analysis: K-means and HDBSCAN algorithms. …”
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Spatial Cluster Analysis by the Bin-Packing Problem and DNA Computing Technique by Xiyu Liu, Jie Xue

“…Spatial cluster analysis is an important data mining task. Typical techniques include CLARANS, density- and gravity-based clustering, and other algorithms based on traditional von Neumann's computing architecture. …”
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PSYCHOLOGICAL HANDLING OF FORMER DEVIAN WITH ISLAMIC EDUCATION AT PASURUAN METAL PESANTREN by Malikah Malikah

“…This study uses a qualitative approach with interviews and observations as data mining in the field. By using physical therapy (such as Wudu’, prayer, writing the Qur’an, and morning exercises) and spiritually (such as reading and memorising the Qur’an, dhikr assemblies, prayers, religious lectures, and taklim assemblies), former Devian can recover and return to her family and society as before.…”
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Analisis Kinerja Algoritma CART dan Naive Bayes Berbasis Particle Swarm Optimization (PSO) untuk Klasifikasi Kelayakan Kredit Koperasi by Eko Arif Riyanto, Tri Juninisvianty, Doddy Ferdian Nasution, Risnandar Risnandar

“…Teknik klasifikasi data mining merupakan salah satu teknik yang bisa digunakan dalam menentukan kelayakan kredit. …”
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A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler by Daniel Tineo, Yuriko S. Murillo, Mercedes Marín, Darwin Gomez, Victor H. Taboada, Malluri Goñas, Lenin Quiñones Huatangari

“…This study employed a data mining approach to determine the functional traits of flowers that influence cocoa diversity. …”
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Insights into the Prevalence of Software Project Defects by Javier Alfonso-Cendón, Manuel Castejón Limas, Joaquín B. Ordieres Meré, Juan Pavón

“…This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects. Data mining techniques have been applied to gain a better understanding of the behaviour of the project activities and to identify a link between the effort distribution and the prevalence of software defects. …”
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Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration by Zhifang Qian

“…First, through the method of questionnaire survey to understand the students’ needs for personalized learning and the functions of online teaching platform, on this basis, build a personalized learning platform based on reinforcement learning and data mining intelligent algorithm. The system test results show that when the number of accesses is less than 2000, the CPU and memory resources of the system basically remain unchanged. …”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…An effort has been made to develop concrete compressive strength prediction models with the help of two emerging data mining techniques, namely, Artificial Neural Networks (ANNs) and Genetic Programming (GP). …”
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Grey Wolf Optimizer Based on Powell Local Optimization Method for Clustering Analysis by Sen Zhang, Yongquan Zhou

“…Clustering is a popular data analysis and data mining technique. Hence, the PGWO could be applied in solving clustering problems. …”
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Data aggregation and indexing support from multiple sources using graph model in medical expert system databases by A. V. Kurachkin, V. S. Sadau

“…Proposed representation mechanism is also shown to be effective for centralized processing using various data mining and intelligent analysis techniques.…”
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GPS Position Prediction Method Based on Chaotic Map-Based Flower Pollination Algorithm by Wanjun Yang, Zengwu Sun

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Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach by Piotr Śliwa

“…The network perspective is believed to successfully model most of the socioeconomic phenomena, which, in combination with the prospects of continuously advancing tools for automated data mining and machine learning, gives a tempting promise to effectively forecast socioeconomic events occurring in our societies and businesses. …”
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Corrigendum: Predictive factors for the development of depression in children and adolescents: a clinical study by Hong Zhang, Peilin Yu, Xiaoming Liu, Xiaoming Liu, Ke Wang, Ke Wang, Ke Wang, Ke Wang

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The High Security Mechanisms Algorithm of Similarity Metrics for Wireless and Mobile Networking by Xingwang Wang

“…Association rules are an important topic in data mining, and they have a broad application prospect in wireless and mobile networking as they can discover interesting correlations between items hidden in a large number of data. …”
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On Clustering Detection Based on a Quadratic Program in Hypergraphs by Qingsong Tang

“…The determination of clustering structure within hypergraphs is a significant problem in the area of data mining. Various works of detecting clusters on graphs and uniform hypergraphs have been published in the past decades. …”
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Big Data Analytics: A Tutorial of Some Clustering Techniques by Said Baadel

“…Data Clustering or unsupervised classification is one of the main research areas in Data Mining. Partitioning Clustering involves the partitioning of n objects into k clusters. …”
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Accelerated aging as a mediator of the association between co-exposure to multiple air pollutants and risk of chronic kidney disease by Shuo Zhang, Yuxin Liu, Jike Qi, Yu Yan, Tongyu Gao, Xin Zhang, Dong Sun, Ting Wang, Ping Zeng

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Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth by Kristoko Dwi Hartomo, Sri Yulianto Prasetyo, Rahmat Abadi Suharjo

“…Pengolahan data dalam penelitian ini disebut data mining dengan menggunakan algoritma FP-Growth dan Triple Exponential Smoothing. …”
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The dual anti-inflammatory and anticoagulant effects of Jianpi Huashi Tongluo prescription on Rheumatoid Arthritis through inhibiting the activation of the PI3K/AKT signaling pathw... by Fanfan Wang, Fanfan Wang, Jian Liu

“…Firstly, through retrospective clinical data mining, combined with the Apriori algorithm and random walk models, an in-depth analysis was conducted to explore the potential associations between XFC treatment and improvements in clinical inflammatory and coagulation markers among RA patients. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…Ulasan yang terdapat pada kolom komentar Google Play dapat dimanfaatkan sebagai sumber data yang dapat di oleh dengan data mining. Penelitian ini akan menganalisis mengenai permasalahan yang berkaitan dengan beberapa ulasan tentang  Fintech P2PL  apikasi Koinworks pada ulasan di Google Play Store serta menentukan hasil akurasi analisis sentimen yang dihasilkan algoritma Decision Tree, K-Nearest Neigbor dan Support Vector Machine. …”
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