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Data Mining & Business Analysis
1
Presented By
Kazi Md Zuber
1.Click Stream Analysis
2. Hadoop Framework
 Click Stream Analysis
 What is Click Stream Analysis ?
“The electronic path a user takes while navigating
from site to site, and from page to page within a
..site”.
 In simple word we can say ,
“A user's activities on the World Wide Web as
represented by the sequence of links they click on”.
2
 Why need Click stream
analysis ?
 Area of Interests
 Personal Information
 Which Devices Use More (PC/Mobaile)
 Country wise click stream data
 Visitor’s data such as Male/Female or Adult/Child
 History (User’s Navigation History)
 Etc..
3
To Know User’s…
Data sources of Click Stream
analysis
 E-Commerce website
 Share Market
 YouTube
 Clouds
 Servers
 Telecom
 Etc.
4
 Who Use Click Stream Analyzed
Data
5
Amazon analyze
user’s behavior
Such as,
- Clicked items,
- User location,
- More selling
..Products
- Visited pages
- Review
On particular
website or pages
More user can
target for show
specific types of
Advertise.
-visitors online
-Comments
-Time
-Etc..
-Searched
.Videos
-Daily Viewer
-Etc.
Business companies are use this data
To Convert customers, Sell Product,
Increase business growth and for So many
Reasons they use Click Stream Analyzed data.
So it’s call Data Mining & Business Intelligence.
6
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
US
UK
Singapore
NZ
NULL
India
Europe
Australia
Asia Pacific
 Country wise viewers
Accessed Pages By Users
7
 From these analyzed data Google
AdSense set Advertised on most of
visited page.
Number of clicks by hour of
day
8
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Number of clicks by hour of day
Number of clicks
 At which time target
more visitors for
advertise or some other
event.
 This idea can get from
these analyzed.
 A Full Month of Browsing
9
 Example 10
Example 11
Click streaming data sources
 E-Commerce website Data
 Share Market Data
 YouTube Data
 Clouds Data
 Servers Data
 Telecom Data
 Satellite Data
 Business Data
12
Big Data
But Exactly What is
Big data ?
?
Just one second 13
Big Data & HADOOP
 Extremely large data sets that may be analysed computationally to reveal
patterns, trends, and associations, especially relating to human behaviour
and interactions.
 Big Data Handled By HADOOP
 Hadoop is java based platform
 FDS, HDFS, Name node (xml data), Job tracker(meta data)
 Hadoop Cluster
14
 Applications of Hadoop
Framework
 Advertising , Media and Entertainment
 Click Stream Data Analysis
 Analysis of Server Log Data
 Analysis of Geolocation Data
 Fraud Detection and Prevention
15
 Which Companies are using
HADOOP
16
References
 NASA NEX (www.aws.amazon.com)
(https://aws.amazon.com/public-datasets/nasa-nex/)
 Data Mill North (www.datamillnorth.org)
 Applications of Big Data & Hadoop (www.slidshare.com)
 Google AdSense (www.google.ads.com)
 36 Mind Blowing YouTube Facts, Figures and Statistics – 2017 | Digital
Marketing Education (fortunelords.com)
 www.nasa.gov.com
17
Question ???
18
What is Hadoop Cluster?
19

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Click stream analysis and hadoop framwork

  • 1. Data Mining & Business Analysis 1 Presented By Kazi Md Zuber 1.Click Stream Analysis 2. Hadoop Framework
  • 2.  Click Stream Analysis  What is Click Stream Analysis ? “The electronic path a user takes while navigating from site to site, and from page to page within a ..site”.  In simple word we can say , “A user's activities on the World Wide Web as represented by the sequence of links they click on”. 2
  • 3.  Why need Click stream analysis ?  Area of Interests  Personal Information  Which Devices Use More (PC/Mobaile)  Country wise click stream data  Visitor’s data such as Male/Female or Adult/Child  History (User’s Navigation History)  Etc.. 3 To Know User’s…
  • 4. Data sources of Click Stream analysis  E-Commerce website  Share Market  YouTube  Clouds  Servers  Telecom  Etc. 4
  • 5.  Who Use Click Stream Analyzed Data 5 Amazon analyze user’s behavior Such as, - Clicked items, - User location, - More selling ..Products - Visited pages - Review On particular website or pages More user can target for show specific types of Advertise. -visitors online -Comments -Time -Etc.. -Searched .Videos -Daily Viewer -Etc. Business companies are use this data To Convert customers, Sell Product, Increase business growth and for So many Reasons they use Click Stream Analyzed data. So it’s call Data Mining & Business Intelligence.
  • 6. 6 0 50000 100000 150000 200000 250000 300000 350000 400000 450000 500000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 US UK Singapore NZ NULL India Europe Australia Asia Pacific  Country wise viewers
  • 7. Accessed Pages By Users 7  From these analyzed data Google AdSense set Advertised on most of visited page.
  • 8. Number of clicks by hour of day 8 0 50000 100000 150000 200000 250000 300000 350000 400000 450000 500000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Number of clicks by hour of day Number of clicks  At which time target more visitors for advertise or some other event.  This idea can get from these analyzed.
  • 9.  A Full Month of Browsing 9
  • 12. Click streaming data sources  E-Commerce website Data  Share Market Data  YouTube Data  Clouds Data  Servers Data  Telecom Data  Satellite Data  Business Data 12 Big Data But Exactly What is Big data ? ?
  • 14. Big Data & HADOOP  Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.  Big Data Handled By HADOOP  Hadoop is java based platform  FDS, HDFS, Name node (xml data), Job tracker(meta data)  Hadoop Cluster 14
  • 15.  Applications of Hadoop Framework  Advertising , Media and Entertainment  Click Stream Data Analysis  Analysis of Server Log Data  Analysis of Geolocation Data  Fraud Detection and Prevention 15
  • 16.  Which Companies are using HADOOP 16
  • 17. References  NASA NEX (www.aws.amazon.com) (https://aws.amazon.com/public-datasets/nasa-nex/)  Data Mill North (www.datamillnorth.org)  Applications of Big Data & Hadoop (www.slidshare.com)  Google AdSense (www.google.ads.com)  36 Mind Blowing YouTube Facts, Figures and Statistics – 2017 | Digital Marketing Education (fortunelords.com)  www.nasa.gov.com 17
  • 18. Question ??? 18 What is Hadoop Cluster?
  • 19. 19