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Data Analysis and Mining

2024-10-22 16:19:20   0  Report

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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.

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Outline/Content

Basic Concepts

Function Classification

General data mining methods

Classification & Clustering

Prediction & Regression

Time series analysis

Association rules & deviation detection

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Statistical Analysis

Principal Component Analysis

Factor analysis

Machine Learning

Decision tree

Bayes

Genetic Algorithm

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Deep Learning

Convolutional Neural Network

RBN

Deep Belief Network

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Relevant technologies

Mahout

Spark Mlib

TensorFlow

Platform

DAS

PAI