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Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review
This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM),...
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Data Mining and Big Data 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China,...
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Data Mining and Big Data 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part II
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China,...
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Image-based random rotation for preserving the data in data mining process
The privacy and security of big data have become a major concern in recent years, necessitating privacy-preserving data mining strategies to preserve...
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Privacy-Preserving Data Mining
The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The...
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Identifying missing data handling methods with text mining
Missing data is an inevitable aspect of every empirical research. Researchers developed several techniques to handle missing data to avoid...
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Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window
In this paper, we present an efficient novel method for mining discriminative itemsets over data streams using the sliding window model....
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Recent advances in domain-driven data mining
Data mining research has been significantly motivated by and benefited from real-world applications in novel domains. This special issue was proposed...
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Excel and Data Mining
Let’s get right to the topic. Why do we need to learn Excel in our data mining endeavor? It is true that there are some outstanding data mining...
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Analysis of Employment Information of University Graduates through Data Mining
Abstract—The employment information of university graduates contains a lot of useful information that can provide guidance for employment. This paper...
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Exploring image data association: A hybrid mining approach
In this paper, a new approach for mining image association rules is presented, which involves the fine-tuned CNN model, as well as the proposed FIAR...
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Examining students’ course trajectories using data mining and visualization approaches
The heterogeneous data acquired by educational institutes about students’ careers (e.g., performance scores, course preferences, attendance record,...
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Bibliometric mining of research directions and trends for big data
In this paper a program and methodology for bibliometric mining of research trends and directions is presented. The method is applied to the research...
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Mining Temporal Data
The information technology revolution, especially with the adoption of the internet of things, longitudinal data in many domains becomes more...
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Justification and Hypothesis Selection in Data Mining
Data mining is an instance of the inductive methodology. Many philosophical considerations for induction can also be carried out for data mining. In...
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Mining Top-K constrained cross-level high-utility itemsets over data streams
Cross-Level High-Utility Itemsets Mining (CLHUIM) aims to discover interesting relationships between hierarchy levels by introducing the taxonomy of...
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A bibliometric analysis of Educational Data Mining studies in global perspective
Educational Data Mining (EDM) is an interdisciplinary field that encapsulates different fields such as computer science, education, and statistics....
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Advanced Data Mining and Applications 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part I
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in...
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Advanced Data Mining and Applications 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part V
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in...
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Advanced Data Mining and Applications 19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part III
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in...