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Integrating Classification With K-Means to Detect E-Commerce Transaction Anomaly
Effective data mining solutions have been anticipated in Electronic Commerce (E-Commerce) transaction anomaly detection model to accurately predict anomaly transaction records. However, there are many sub-optimal E-Commerce ...
Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets
Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative in order to enhance the quality of education by ...