###### tags: `選修`

# 大數據的分析與應用 老師:吳帆 教授

:::spoiler 考試必考

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:::spoiler 作業

1. 分析 3C
2. 上台5分

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:::spoiler 基礎知識
[數據分析入門：了解分析的本質與基本思維能力](https://procrustes.info/analysis-basic/)
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## 章節

### 2022/02/19 Chap1-大數據分析與應用序論

### 2022/03/05 Chap2-Database vs. Datawarehouse

### 2022/03/19 Chap3

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:::spoiler 2022/02/19 Chap1-大數據分析與應用序論

#### Mental models:如何看世界(同樣的資料，會有不同的解讀)

* Your statistical model depends on your mental model.


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#### data analysis activities

1. Define：定義問題
2. Disassemble：拆解
3. Evaluate：評價
4. Decide：決定


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#### Furthermore Row Data


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:::spoiler 2022/03/05 Chap2 Database vs. Datawarehouse

### Data Warehouses


* Time-variant:

* Data stored to provide information from a historical perspective

* Nonvolatile

* requiring two operations: initial loading of data and access of data

### Dataware Architecture


### The lattice of a 4-dimensional cube.


[數據立方體](https://www.twblogs.net/a/5c8f4f70bd9eee35fc154770)

### Methods of data reduction

* Strategies of data reductions

* data aggregation (e.g., sum, mean)

* attribute subset selection (e.g., removing irrelevant attributes)

* dimensionality reduction (e.g., using encoding schemes)

* numerosity reduction (e.g., “replacing” the data by smaller representations such as clusters or parametric models)

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:::spoiler 2022/03/19 Chap3

## Data reduction：attribute ssubset sselection


## 決策樹






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