31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
# Ubiquitous and Invisible Data Mining
|
|
|
|
## Ubiquitous Data Mining (UDM)
|
|
**"Ubiquitous"** means existing everywhere.
|
|
- **Definition**: Mining data from everyday objects and devices (Smartphones, IoT, Wearables) in real-time.
|
|
- **Goal**: To provide insights anytime, anywhere, without you asking for it.
|
|
- **Characteristics**:
|
|
- **Mobile**: Uses GPS and sensors.
|
|
- **Context-Aware**: Knows where you are and what time it is.
|
|
- **Real-Time**: Processes data instantly.
|
|
|
|
### Examples
|
|
- **Smartphones**: Google Maps predicting traffic.
|
|
- **Wearables**: Smartwatches tracking your heart rate.
|
|
- **Smart Homes**: Alexa learning your voice commands.
|
|
|
|
## Invisible Data Mining
|
|
- **Definition**: Mining that happens **silently** in the background. You don't see it happening.
|
|
- **Why "Invisible"?**: It is embedded in apps and systems. You only see the result (like a recommendation).
|
|
- **Examples**:
|
|
- **Amazon**: "People who bought this also bought..."
|
|
- **Google Search**: Auto-completing your sentence.
|
|
- **Banks**: Detecting fraud without you knowing.
|
|
|
|
### Difference
|
|
| Feature | Ubiquitous Mining | Invisible Mining |
|
|
|---|---|---|
|
|
| **Focus** | Mining **everywhere** (IoT, Mobile) | Mining **hidden** from user |
|
|
| **Awareness** | You might know it's happening (e.g., wearing a watch) | You usually don't know |
|
|
| **Key Tech** | Sensors, Mobile Devices | Software Algorithms, Background Processes |
|