Cross-modal feature interaction network for heterogeneous change detection by Zhiwei Yang, Xiaoqin Wang, Haihan Lin, Mengmeng Li, Mengjing Lin

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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…Mahasiswa drop out dapat diprediksi melalui beberapa proses memperoleh pola atau pengetahuan dari kumpulan data yang disebut data mining. Data mining melakukan analisis data yang telah ada dalam basis data guna penyelesaian masalah. …”
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Predicting Metabolic Syndrome Using the Random Forest Method by Apilak Worachartcheewan, Watshara Shoombuatong, Phannee Pidetcha, Wuttichai Nopnithipat, Virapong Prachayasittikul, Chanin Nantasenamat

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Preparation and evaluation of Brucella T4SS recombinant proteins in serodiagnosis of human brucellosis based on TMT-based proteomics technology by Qi Wu, Chen Sun, Liping Guo, Yujia Xie, Jinpeng Zhang, Jinpeng Zhang, Dehui Yin, Dehui Yin

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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…In the process of gathering information certain methods are needed, so information that has been processed into knowledge using a certain method is called data mining or other terms is data mining. Data mining is generally used to predict a disease originating from patient medical record data, especially heart disease. …”
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Extraction of tree branch skeletons from terrestrial LiDAR point clouds by Jimiao Gao, Liyu Tang, Honglin Su, Jiwei Chen, Yuehui Yuan

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Optimization of the Marketing Management System Based on Cloud Computing and Big Data by Lin Zhang

“…And, other process methods are used. Data-mining-based marketing system information solutions consist of several parts, such as requirement analysis, design, implementation, and testing. …”
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Mathematical Modeling and Simulation of Online Teaching Effect Evaluation Based on Decision Tree Algorithm by Pingli Sun

“…The results show that compared with the traditional data mining algorithm, the decision tree algorithm has obvious advantages in computing speed and accuracy.…”
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Multi-level high utility-itemset hiding. by Loan T T Nguyen, Hoa Duong, An Mai, Bay Vo

“…To deal with this, a number of privacy-preserving data mining (PPDM) techniques have been introduced. …”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Simon Fong, Suash Deb, Raymond Wong, Guangmin Sun

“…Classification algorithms in traditional data mining approach offer fair accuracy by training a classification model with the full dataset, in batches. …”
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Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model by Vinh Phuc Dung, Minh Tien Nhung

“…It should be noted that the discovery of knowledge from the data is also essential to predict the path. Hence, data mining operations will also be considered. This research tries to provide an optimal data mining approach and machine learning principles to predict the route and select the optimal path in metro lines with minimum time, best speed, and minor errors in routing. …”
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The Design of Academic Programs Using Rough Set Association Rule Mining by Mofreh A. Hogo

“…The objective of this work is to use a hybrid data mining approach to design the correct PEO-SO map. …”
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Kombinasi K-NN dan Gradient Boosted Trees untuk Klasifikasi Penerima Program Bantuan Sosial by Elly Firasari, Umi Khultsum, Monikka Nur Winnarto, Risnandar Risnandar

“…Gradient Boosted Trees dan K-NN merupakan salah satu metode data mining untuk klasifikasi data. Masing-masing metode tersebut memiliki kelemahan. …”
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Klasifikasi Kebutuhan Jumlah Produk Makanan Customer Menggunakan K-Means Clustering dengan Optimasi Pusat Awal Cluster Algoritma Genetika by Yudi Istianto, Shofwatul 'Uyun

“…Data tersebut akan diproses dengan menerapkan metode data mining melalui tahap preprocessing kemudian tahap klasifikasi. …”
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Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems by Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri

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An All-Time-Domain Moving Object Data Model, Location Updating Strategy, and Position Estimation by Qunyong Wu, Junyi Huang, Jianping Luo, Jianjun Yang

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Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information by Hyontai Sug

“…Random forests are known to be good for data mining of classification tasks, because random forests are robust for datasets having insufficient information possibly with some errors. …”
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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…This superiority holds true for all three data mining models compared to the three linear regression models. …”
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences by Xingsi Xue, Chaofan Yang, Chao Jiang, Pei-Wei Tsai, Guojun Mao, Hai Zhu

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Model Prognosis Masa Pengobatan Pasien Tuberkulosis Dengan Metode C4.5 by Rusdah Rusdah, Brian Agni Bregastantyo

“…Oleh karena itu, dibutuhkan sistem untuk membantu proses prediksi masa pengobatan pasien dengan menerapkan Cross-Industry Standard Process for Data Mining (CRISP-DM) dan menggunakan pendekatan data mining dengan mengimplementasikan algoritma C4.5 setelah dilakukan eksplorasi data menggunakan beberapa algoritma untuk klasifikasi dengan tujuan untuk hasil akurasi performa model untuk prognosis masa pengobatan pasien tuberkulosis. …”
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