About Big data/Data Mining/IoT/Smart City

1. Presented By:
SHARIF MOHAMMAD RASHED

2.  ‘Big Data’ is similar to ‘small data’, but
bigger
 …but having data bigger it requires
different approaches:
 Techniques, tools and architecture
 …with an aim to solve new problems
 …or old problems in a better way

3. Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
Veracity
• Messiness

4.  Key enablers of appearance and growth of Big
Data are
– Increase of storage capacities
– Increase of processing power
– Availability of data
– Every day we create 2.5 quintillion bytes of data; 90% of
the data in the world today has been created in the last
two years alone

5.  Examining large amount of data
 Appropriate information
 Identification of hidden patterns, unknown correlations
 Competitive advantage
 Better business decisions: strategic and operational
 Effective marketing, customer satisfaction, increased
revenue

6. Applications for Big Data Analytics
Homeland Security
FinanceSmarter Healthcare
Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO

7. LOGO
Internet of Things

8. What’s the Internet of Things
 Definition
(1) The Internet of Things, also called The Internet of
Objects, refers to a wireless network between objects.
(2) The term "Internet of Things" has come to describe a
number of technologies and research disciplines.

9. Characteristics
Event
Driven
Ambient
Intelligence Flexible
Structure
Semantic
Sharing
Complex Access
Technologies
Internet of Things

10. Why Internet of Things
Dynamic control of industry and daily life
Improve the resource utilization ratio
Flexible configuration.
Universal transport & internetworking

11. The application of IoT
Scenario: shopping
(2) When shopping in the market,
the goods will introduce themselves.
(1) When entering the doors, scanners
will identify the tags on her clothing.
(4) When paying for the goods, the
microchip of the credit card will
communicate with checkout reader.
(3) When moving the goods, the reader
will tell the staff to put a new one.

12. January 22, 2017 12
What Is Data Mining?
 Data mining: discovering interesting patterns from
large amounts of data.

13. January 22, 2017 13
Steps of Data Mining
 Data integration
 Data selection
 Data cleaning
 Data transformation
 Data mining
 Pattern evaluation
 Knowledge presentation

14. 14
Application of Data Mining
Industry
Finance
Insurance
Telecommunication
Transport
Consumer goods
Scientific Research
Utilities
Application
Credit Card Analysis
Claims,Fraud Analysis
Call record analysis
Logistics management
Promotion analysis
Image, Video, Speech
Power usage analysis

16. A developed urban area that create sustainable
economic development & high quality of life by
excelling in multiple key areas; Economic,
mobility,environment,people,living & Gov. excelling in
these key areas can be done so through strong human
capital, social capital and/or ICT infrastructure.

18. Features
18
 Smart parking
 Intelligent transport system
 Tele-care
 Traffic management
 Smart grids
 Smart urban lighting
 Waste management
 Smart city maintenance
 Smart taxi
 Digital-signage.

19. Top 10 Smart City
19
o Vienna
o Toronto
o Paris
o New York
o London
o Tokyo
o Berlin
o Copenhagen
o Hong Kong
o Barcelona

20. Challenges
20
• Small portion of ICT in new city development
• Technology changes too fast
• Too many stakeholders

21.  In terms of infrastructure
 In term of transport system
 Entertainment & Education Facility
 Energy efficiency & Reducing water conservation