Data mining in Smart Cities

1. Definition of a Smart City

1.1. Why does it exist?

1.1.1. Urban population is growing

1.2. What are the needs?

1.2.1. Reduce resource waste

1.2.2. Reduce energy consuption

1.2.3. Reduce water usage

1.2.4. Reduce pollution

1.2.5. Manage traffic

1.3. Domains concerned

1.3.1. Mobility

1.3.2. Environment

1.3.3. Governance

1.3.4. Society

1.3.5. Economy

1.3.6. Quality of life

2. Reasons to collect data

2.1. Know population better to create new services

2.2. Better understanding of the situation

2.3. Take action based on analyses to target the right area and to predict events

2.4. Share informations with the population

2.5. Improve general quality of life

3. How is the data collected?

3.1. Internet of Things (IoT)

3.1.1. Mobile apps for population

3.1.2. Urban sensors

3.1.3. Cameras without human surveillance

3.1.4. Wearable devices

3.1.5. Drones

4. Data security

4.1. Constraints and dangers of collecting data

4.1.1. Databases attacks

4.1.2. Population privacy at risk

4.2. Solutions

4.2.1. Collect the right information

4.2.2. Make the data anonymous

4.2.3. Open sourcing the technologies

4.2.4. Update and improve security techniques

4.2.5. Regulation and setting up standards