本文主要是介绍《Oracle大数据解决方案》学习笔记9-1——数据库库内分析-快速交付彰显时间价值(In-Database Analytics: Delivering Faster Time to Value),希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
1. Oracle大数据工作流
2. Oracle库内分析架构
3. Oracle MoviePlex商店应用程序的界面 (这些元素在现在的腾讯视频应用中都有)
4. 词频分析可视化(标签云)
5. 数据挖掘及统计技术的应用场景
Sample Problem | Type of Problem | Algorithm | Applicability |
Predict customer response to a marketing campaign | Classification(分类) | 1. Logistic Regression (GLM) 2. Decision Trees 3. Naïve Bayes 4. Support Vector Machine | 1. Classical statistical technique Embedded within an application 2. Wide/narrow data/text |
Predict the likely profitability of a new customer | Regression(回归) | 1. Multiple Regression (GLM) 2. Support Vector Machine | |
Given customer response to a marketing campaign program, find the most significant predictors | Attribute Importance(属性重要性) | Minimum Description Length (MDL) | 1. Attribute reduction 2. Identify useful data 3. Reduce data noise |
Identify customer purchasing behavior that is significantly different from the norm | Anomaly Detection(异常检测) | One Class SVM | Quality control |
Find the items that tend to be purchased together and specify their relationship— market basket analysis | Association Rules(关联规则) | A priori | Product grouping |
Segment data into clusters and rank the probability that an individual will belong to a given cluster | Clustering(聚合) | 1. Hierarchical K-Means 2. Hierarchical O-Means | 1. Product grouping 2. Text mining 3. Gene analysis |
Combining attributes into a new reduced set of features | Feature Extraction(特征提取) | Non-negative Matrix Factorization (NMF) | 1. Text analysis 2. Feature reduction |
6. Data mining extension for SQL Developer
这篇关于《Oracle大数据解决方案》学习笔记9-1——数据库库内分析-快速交付彰显时间价值(In-Database Analytics: Delivering Faster Time to Value)的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!