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1. Oracle文本挖掘模型
| Oracle Text Mining Models | |
| Model Type | Typical Functions |
| Rule-based classification | Efficiently classify a stream of documents according to a set of queries. For example, each time an e-mail arrives at a call center, send it to all interested agents. Or each time a news item arrives, post it to the relevant Web sites or pages. |
| Supervised training | Use a training set of documents to define a classifier for large data sets. Decision trees and support vector machines (SVMs) are examples of such techniques. |
| Clustering | Group similar documents together according to their content. The package supports flat and hierarchical clustering. |
2. 业务问题对应的函数
| Typical Examples of Business Questions and the Functions That Can Be Used to Answer Them | |
| Type of Query | Function |
| List the brands that make up 20% of sales | Banding |
| Which region’s sales growth for 2012 as compared to 2011 was greater than 20%? | Lag/Lead |
| List the top ten and bottom ten salespeople per region | Ranking |
| What are each product’s sales as a percentage of sales for its product group? | Reporting Aggregate |
| What is the 13-week moving average for sales? | Windowing |
3. 大数据与多维数据模型的集成，并展示在BI仪表盘
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