1.4 KiB
1.4 KiB
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 |