Assigning Robust Default Values in Building Performance Simulation Software for Improved Decision-Making in the Initial Stages of Building Design by Kyosuke Hiyama

“…Applying data mining techniques on a database of BIM models could provide valuable insights in key design patterns implicitly present in these BIM models. …”
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IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM by Đoàn Minh Khuê, Lê Hoài Bắc

“…Nowadays, the problem of data security in the process of data mining receives more attention. The question is how to balance between exploiting legal data and avoiding revealing sensitive information. …”
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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

“…This dissertation focuses on detecting anomaly-based intrusion into the Internet of Things using data mining. In this study, after collecting and preparing data, the improved support vector machine with grasshopper optimization algorithm is used as a proposed method to detect anomaly-based intrusion in the Internet of Things. …”
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Application of Optimized Support Vector Machine Model in Tax Forecasting System by Yu Xin

“…Based on the simple analysis of the research situation of tax prediction and the research status of data mining algorithm in tax data classification and prediction, this paper constructs a tax prediction model. …”
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Optimal Embedding of Graphs with Nonconcurrent Longest Paths in Archimedean Tessellations by Muhammad Faisal Nadeem, Ayesha Shabbir, Muhammad Imran

“…These techniques have wide applications in fields such as machine learning, data mining, and network analysis. Do we have small (if possible minimal) k-connected graphs with the property that for any j vertices there is a longest path avoiding all of them? …”
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An English Online Homework Tutoring System Supported by Internet Database by Huanxiang Hao

“…Experimental results show that the designed platform has good data mining performance, low connection speed and low response delay, good compatibility, low CPU usage, fast resource sharing speed, and high user satisfaction. …”
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Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets by Sajid Mahmood, Muhammad Shahbaz, Aziz Guergachi

“…We identify associations among medications, symptoms, and laboratory results using state-of-the-art data mining technology.…”
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Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification by Manuel Rey-Moreno, Manuel Jesús Sánchez-Franco, María De la Sierra Rey-Tienda

“…With a methodological approach, this article explores the application of data mining to the user-generated content of tourist accommodation on infomediation platforms and social networks. …”
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Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. by Dyah Aryani Perwitasari, Imaniar Noor Faridah, Haafizah Dania, Didik Setiawan, Triantoro Safaria

“…We used the ORANGE Data mining as the machine learning to predict the adherence. …”
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Geometric Lattice Structure of Covering and Its Application to Attribute Reduction through Matroids by Aiping Huang, William Zhu

“…The reduction of covering decision systems is an important problem in data mining, and covering-based rough sets serve as an efficient technique to process the problem. …”
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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

“…Class imbalance is a major challenge in machine learning and data mining. Oversampling and undersampling methods are commonly used to address this issue. …”
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Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors by Hong Zhao, Fan Min, William Zhu

“…Feature selection is an essential process in data mining applications since it reduces a model’s complexity. …”
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The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies by Dawei Shi, Chao Li, Zhu Zhu, Runqing Lv, Shengjie Chen, Yunfeng Zhu

“…Based on 130 climate signal indexes provided by National Climate Center of China, this paper established a decision tree diagnostic prediction model for Spring Kuroshio Sea Surface Temperature (SST) from 1961 to 2015 (65 years) by using Chi-Squared Automatic Interaction Detector (CHAID) algorithm in data mining and obtained five rule sets to determine whether Spring Kuroshio SST is high or not. …”
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Optimization of Human Resource File Information Decision Support System Based on Cloud Computing by Chunling Cai, Chuanyi Chen

“…Therefore, it is very necessary to establish human resources data pool and carry out data mining based on it, so as to extract high quality and high quantity information to provide support for managers’ decision-making. …”
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Ahmad Hassan dan Kehujjahan Hadis: Pemikiran Ahmad Hassan terhadap Hadis Fadailul Amal dalam Buku Soal-Jawab by Ahmad Hanafi Alwi, Muhid Muhid, Andris Nurita, Isa Fadlurrahman

“…This research uses a qualitative approach. In data mining, a library research type is used by tracing various written sources to obtain other supporting data. …”
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Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network by Hang Yang, Simon Fong, Raymond Wong, Guangmin Sun

“…Many classification models have been studied in the data-mining research community. However, they all assume that the input data are stationary and bounded in size, so that resampling techniques and postadjustment by measuring the classification cost can be applied. …”
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Noninvasive Load Identification Method Based on Feature Similarity by Hongyan Li, Xianfeng Ding, Dan Qu, Jiang Lin

“…Finally, the device identification and calculation of power consumption are carried out for the part of data in annex 2 of question A in the 6th “teddy cup” data mining challenge competition.…”
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Global Optimization Ensemble Model for Classification Methods by Hina Anwar, Usman Qamar, Abdul Wahab Muzaffar Qureshi

“…Supervised learning is the process of data mining for deducing rules from training datasets. …”
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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

“…The system processes the collected data to create information vectors for a selected group of diseases, allowing for an initial assessment of possible disease entities. An analysis of data mining and selected machine learning methods was carried out to develop an effective diagnosis algorithm. …”
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Breast Cancer Prediction Using the Affinity Propagation Clustering with Regard to the Weights of Variables by Sina Dami, Zeinab Hatamchuri

“…By using data mining tools in the field of medical diagnosis, some limitations such as the high cost of some tests or their timing will be addressed. …”
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