खोज परिणाम - "data mining"

The aim of the article is to discuss and argue teaching educational data mining for pedagogical stu-dents and to describe the methodical system of educational data mining teaching for students with a middle level of mathematical and IT disciplines, that contributes to the development of student’s re...

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In modern data management systems, structured query language (SQL) databases, as a mature and stable technology, have become the standard for processing structured data. These databases ensure data integrity through strongly typed schema definitions and support complex transaction management and eff...

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Educational data mining (EDM) is instrumental in the early detection of students at risk of academic underperformance, enabling timely and targeted interventions. Given that many undergraduate students face challenges leading to high failure and dropout rates, utilizing EDM to analyze student data b...

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Determining public interest in marketing banking services using data mining techniques. Prospect segmentation is one of the processes used in the marketing strategy of the banking industry. Data mining support plays an important role in classifying potential bank customers and evaluating the success...

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In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as a valuable source of information and insights, particularly when examining the temporal aspect, allow...

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Diabetes is a prevalent and costly condition, with early diagnosis pivotal in mitigating ‎its progression and complications. The diagnostic process often contends with data ‎ambiguity and decision uncertainty, adding complexity to achieving definitive ‎outcomes. This study addresses the diabetes dia...

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With the advent of Big Data, data mining techniques have become crucial for improving decision-making across diverse sectors, yet their employment demands significant resources and time. Time is critical in industrial contexts, as delays can lead to increased costs, missed opportunities, and reduced...

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In this digital era, the development of video games is so rapid, from console-based to smartphone devices. One of the trending video game genres is the Multiplayer Online Battle Arena (MOBA) with one of the most popular MOBA games, the Mobile Legends game. In winning a match in a Mobile Legends game...

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Terkait dengan salah satu fungsi dari Perguruan Tinggi dalam pendidikan, pengajaran dan perihal ini menjadi salah satu butir akreditasi yaitu kelulusan tepat waktu bagi mahasiswa. Selama ini UIN Raden Fatah Palembang belum memiliki pola–pola prediksi kelulusan tepat waktu sebagai acuan untuk mempred...

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This study explores the performance of five sentiment classification algorithms—Naïve Bayes, Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest—on an imbalanced sentiment dataset, with the SMOTE technique applied as a comparison. The research follows the Knowledge Discover...

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This work is devoted to testing the hypothesis of homogeneity of modeling functions from temperatures constructed for each qualitative sign of cancer. The following results are obtained in the article. During the analysis of the results of determining homogeneity for each control class, it was revea...

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Gold is a profitable asset to invest in. With a risk that is not too big. However, many factors influence the price, one of which is the fluctuation of the exchange rate (IDR) rupiah against the USD currency (US Dollar). Data Mining is used to predict the price of gold, with the process of extractin...

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A federated sequential recommendation system enables personalized temporal recommendations while safeguarding user privacy. However, the statistical heterogeneity of independent user records often necessitates extensive communication to achieve high-performing models. To address this challenge, prio...

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The issue of learning by precedents is studied. A method of learning based on the analysis of the properties of feature combinations and building feature subspaces where classes do not intersect is proposed. An algorithm that allows paralleling of the learning process and performing it in the automa...

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Background Azithromycin, a widely prescribed macrolide antibiotic, faces emerging safety concerns due to inappropriate use and age-specific adverse drug reactions (ADRs). This study characterises age-stratified safety profiles of azithromycin using pharmacovigilance data.Methods Adverse event (AE) r...

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Data represents a compendium of information that perpetually expands with each passing moment, contributed by individuals worldwide. Within the domain of medical science, this reservoir of data accumulates at an almost exponential rate, doubling in volume annually. The emergence of advanced machine...

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Masalah pengangguran berdampak pada kemiskinan, kriminalitas, dan ketimpangan taraf hidup. Pemerintah harus mengantisipasi dampak tersebut melalui berbagai kebijakan pemerintah. Pengetahuan memainkan peran penting dalam mendukung pengambilan keputusan dan perumusan kebijakan pemerintah terkait denga...

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This work presents clustering algorithms for identifying movement patterns in trajectories, with a focus on applications in chemical engineering. The exponential growth of dynamic system data necessitates algorithms that account for both local and global trajectory trends. Existing methods often ove...

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