Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

“…Criminology is one of the most important fields for applying data mining. Criminology is a process that aims to identify crime characteristics. …”
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Penerapan asas kesukarelaan dalam konseling kasus pacaran beresiko pada remaja by I Gst. Agung Diah Rusdayanti, Kadek Suranata, I Ketut Dharsana

“…The research data is sourced from data mining techniques with a literature review. The result of this literature review is that the implementation of the principle of volunteerism in counseling takes place based on volunteerism and without being forced both by the counselor and the counselee. …”
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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…First, the traditional K-means algorithm is used to select the initial clustering center, to improve the noise and outlier processing capabilities, and to build a data mining system based on the improved algorithm. …”
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Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data by Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen

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Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib by Linlin Song, Qi Li, Hui Shi, Pengxia Zhang

“…Based on data mining, an innovative big data analysis platform was utilized to discuss the treatment of cancer in chronic myeloid leukemia (CML) by dasatinib, aiming to offer help to the diagnosis and treatment of cancer. …”
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Salienz, Narrativität und die Rolle musikalischer Parameter bei der Analyse musikalischer Spannung von post-tonaler Orchestermusik by Gerhard Lock

“…Im zweiten Teil werden das empirische Experiment-Design (Sample N=26) für das vom Autor entwickelte neue kognitive Scheibenmodell COSM (Cognitive Octagonal Slice Model), die Visualisierung und Analyse der COSM-Daten (Data Mining) sowie einige Analyse-Ergebnisse bezüglich eines möglichen Zusammenhangs zwischen Tendenzen musikalischer Parameter und musikalischer Spannung diskutiert. …”
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Digital Transformation in the Concept of Internal Banking Risk Management by D. V. Pasinitsky

“…Based on the study, the author proposes to intensify the introduction of digital technologies in banking practice based on: artificial intelligence, machine learning, data mining.…”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…Considering such voluminous quantities, the collected data may contain a substantial number of outliers which must be detected before utilizing them for data mining or computations. Therefore, outlier detection techniques such as Mahalanobis distance computation have gained significant popularity recently. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
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Efisiensi Big Data Menggunakan Improved Nearest Neighbor by Aditya Hari Bawono, Ahmad Afif Supianto

“… Klasifikasi adalah salah satu metode penting dalam kajian data mining. Salah satu metode klasifikasi yang populer dan mendasar adalah k-nearest neighbor (kNN). …”
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CONSTRUCTION PRINCIPLES OF COMPUTING UNITS FOR INTELLECTUAL DATA PROCESSING by M. M. Tatur

“…A high level architecture is shown, where Data Mining algorithms are considered as functional elements and a general or specialized co-processor as an accelerator for computer performance. …”
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An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules by Armand, André Totohasina, Daniel Rajaonasy Feno

“…In the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some drawbacks. …”
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Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups by A. N. Kazinets

“…The article discusses the use of data mining methods to predict the effectiveness of employment of socially vulnerable categories of the population. …”
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Markers of Anemia in Children with Type 1 Diabetes by Ewa Rusak, Anna Rotarska-Mizera, Piotr Adamczyk, Bogdan Mazur, Joanna Polanska, Agata Chobot

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A Distributed K-Means Segmentation Algorithm Applied to Lobesia botrana Recognition by José García, Christopher Pope, Francisco Altimiras

“…In this article, we propose a novel method for L. botrana recognition using image data mining based on clustering segmentation with descriptors which consider gray scale values and gradient in each segment. …”
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Improved KNN Algorithm Based on Preprocessing of Center in Smart Cities by Haiyan Wang, Peidi Xu, Jinghua Zhao

“…The KNN algorithm is one of the most famous algorithms in machine learning and data mining. It does not preprocess the data before classification, which leads to longer time and more errors. …”
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Advancing Anaesthetist Rostering Quality: A Practical Approach Toward Fairness and Efficiency by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Liu Chian Yong

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Kombinasi Seleksi Fitur Berbasis Filter dan Wrapper Menggunakan Naive Bayes pada Klasifikasi Penyakit Jantung by Siti Roziana Azizah, Rudy Herteno, Andi Farmadi, Dwi Kartini, Irwan Budiman

“…Dalam bidang teknologi, data mining dapat digunakan untuk mendiagnosa suatu penyakit yang bersumber dari data rekam medis pasien. …”
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Pengujian Rule-Based pada Dataset Log Server Menggunakan Support Vector Machine Berbasis Linear Discriminat Analysis untuk Deteksi Malicious Activity by Kurnia Adi Cahyanto, Muhammad Anis Al Hilmi, Muhamad Mustamiin

“…Dari informasi pada log, dapat dipakai untuk keperluan pengamanan sistem, salah satunya dengan cara melakukan analisis menggunakan data mining terhadap aktifitas klien yang tercatat pada log server. …”
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Cloud Based Metalearning System for Predictive Modeling of Biomedical Data by Milan Vukićević, Sandro Radovanović, Miloš Milovanović, Miroslav Minović

“…On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data.…”
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