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This book presents basic concepts, ideas, and research in data mining. The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics.
The Concept of Data Mining
Use Data Mining Cleansing to Prepare Data for Strategic Decisions
Privacy Preserving Data Mining
Multilabel Classification Based on Graph Neural Networks
DMAPT: Study of Data Mining and Machine Learning Techniques in Advanced Persistent Threat Attribution and Detection
Text Classification on the Instagram Caption Using Support Vector Machine
Computing on Vertices in Data Mining
Artificial Intelligence and Its Application in Optimization under Uncertainty
Practical Application Using the Clustering Algorithm
Leaching Mechanisms of Trace Elements from Coal and Host Rock Using Method of Data Mining
Tourist Sentiment Mining Based on Deep Learning
Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)