Data Analysis and Mining

This mind map provides a comprehensive overview of 'Data Analysis and Mining,' delving into the fundamental concepts and methodologies that underpin this field. It categorizes various data mining functions, including classification, clustering, prediction, regression, time series analysis, and association rules. Additionally, it explores statistical analysis techniques like Principal Component Analysis and Factor Analysis. The map also highlights machine learning methods, such as decision trees, Bayes, and genetic algorithms, as well as deep learning frameworks like Convolutional Neural Networks. Furthermore, it touches on relevant technologies like Mahout, Spark Mlib, and TensorFlow, and platforms such as DAS and PAI.