Multimedia Data Processing Technology and Application Based on Deep Learning by Guo Li, Wei Liu

“…In the multimedia data processing, the multimedia data processing technology is obviously superior to the data mining technology and data compression technology. …”
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Financial Early Warning System Model Combining Hybrid Semantic Hierarchy with Group Method of Data Handling Neural Network for Detection of Banks’ Risks by Guangju Li

“…The outcomes of the proposed method when compared to non-data mining methods suggest that it improves accuracy by almost 20%.…”
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Application of Business Intelligence in the Brazilian Educational System by Carlos Grimm Moniz Junior, Tristão Sócrates Baptista Cavalcante, Adalena Kennedy Vieira, Raimundo Kennedy Vieira

“…This is all leveraged to interactive dashboards, which should enable data-driven decisions and forge the way for advanced analytics like data mining. …”
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Machine learning approach to student performance prediction of online learning. by Jing Wang, Yun Yu

“…The ability to improve educational systems using data knowledge has driven the development of the field of educational data mining research. Here, this paper proposes a machine learning method for the prediction of student performance based on online learning. …”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…Consumer reviews are an important source of data used to judge and examine consumer sentiment, and data mining for reviews of electronic products is an important way to help improve the design of electronic products. …”
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Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm by Dorota Mozyrska, Ewa Pawluszewicz

“…Therefore, there is a need for a data set of students' information in order to perform a data mining process in order to find those elite students based on their activities and abilities of students and recommend them scholarships. …”
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Driver anomaly detection in cargo terminal by Shahab Emaani, Abbas Saghaei

“…Subsequently, Isolation Forest, KNN, and HBOS algorithms are applied to detect abnormal behavior using data mining techniques. Results reveal three distinct driver groups, with a notable proportion (98 %) of anomalies concentrated in one group. …”
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The Application of New Educational Concepts in Digital Educational Media by Chun Yang

“…The process is as follows: based on the collected education data, mining the specific factors that will affect the application ability of teachers’ digital education resources and building a multiple machine learning regression model using these objective and significant features to predict the score of teachers’ digital education resources application ability. …”
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EXPLOIT MINING HIGH UTILITY ITEMSETS WITH NEGATIVE UNIT PROFITS FROM VERTICALLY DISTRIBUTED DATABASES by Cao Tùng Anh, Ngô Quốc Huy, Võ Hoàng Khang

“…High Utility Itemset (HUI) mining is an important problem in the data mining literature that considers the utilities for businesses of items (such as profits and margins) that are discovered from transactional databases. …”
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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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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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