Measure your site's performance - Analytics, Insights, Statistics - WEB mining - learn about website visitors in the internet - slides shows example of Analytic reports, also called Insights or Stats, YouTube insights, Blogger Blog Stats, facebook, LinkedIn - presentation by Prof Jyoti Zaveri

1. Data Mining of the web site
Analytics / Insights / Statistics
WEB MINING
BY
JYOTINDRA ZAVERI
‘Cyber Coolie’
j.zaveri@dnserp.com Web Mining - Social media Business 1
intelligence

2. What is ‘Web Mining’ ?
Web mining is a specialized application of
data mining.
Web mining is a technique to process
information available on Web and find
useful data.
Web mining enables you to discover Web
pages, text documents, multimedia files,
images and other types of resources from
the World Wide Web.
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3. Let us analyze to improve
Web mining can be broadly defined as the
discovery and analysis of useful information
from the World Wide Web.
This describes the automatic search of
information resources available on-line, i.e.
Web content mining, and the discovery of
user access patterns from Web servers, i.e.,
Web usage mining.
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4. Analytic reports gives real-time
information of social media websites
The following slides shows example of
Analytic reports, also called Insights or
Stats.
– YouTube insights
– Blog Stats
• Blogger
• WordPress
– Facebook
– LinkedIn
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5. Blogger Stats: Posts wise data
BLOG Analytics - 6222 Page vies – all time history
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6. Traffic source & audience data
BLOG Analytics - 801 view for this post which
was published on July 21, 2011
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7. Blogger: Daily visitors report
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8. Blogger: Page-views by Countries
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9. To find how user is interacting with the website
Web Mining Goals
– To decrease the average number of pages
visited by customer before a purchase
transaction
– Increase the average number of pages viewed
per user session
– Increase visitor retention rates
– Personalize web pages for customers
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10. Facebook gives extensive Insights
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11. The ideas is to measure the engagement
of your Facebook Fan Page
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12. FACEBOOK REACH OUT TO 800 MILLION USERS
TATA DOCOMO IS THE LEADING FB PAGE WITH 42 LACS FANS
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13. Web log.
"What pages are people viewing on
your site and where are they coming
from?"
Web log is record (log book) kept by a
website server computer, that contains
visitor information such as which pages are
visited or which browser was used to
access the website, and so on.
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14. LinkedIn Analytics - Find out top locations
in your professional network
5% Greater
New York
City Area
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15. Where is web mining used?
E-Business
E-Commerce
Fraud detection
Research
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16. The second largest search engine
– YouTube Insight
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17. Web site Analysis
See and analyze your traffic data
For example, with Google Analytics
Purpose:
– To write better-targeted ads
– Strengthen your marketing initiatives
– Create higher converting websites.
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18. Why web mining?
With the explosive growth of
information sources available on the
World Wide Web, it has become
increasingly necessary for users to
utilize automated tools in find the
desired information resources, and to
track and analyze their usage
patterns.
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19. What is Pattern Extraction?
The ‘Pattern Extraction’ is a process for
monitoring web pages, extracting
information from them and generating
matches of a specific pattern, with
necessary information specified by a user.
The pattern extraction method enables to
surf and access data available in the
Internet more efficiently.
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20. Web log mining.
The technique for retrieving visitor (or customer) based
information from server based log files and applying this
information for analyzing is known as Web log miming.
There are two major types of log files used in Web log
mining:
1. Access log and agent log files. An access log file keeps a list
of all the HTML pages, that the visitors have visited or
downloaded.
2. An agent log file consists of a record of the browser that
was used to explore Web pages.
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21. FACEBOOK
INSIGHTS
How people are talking about
your Page
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22. Conclusion
Web 2.0 technology based sites gives
extensive analytic report (also called insights)
that helps in targeting your audience and fine
tune the contents.
This will help in measuring performance of
the online assets.
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23. Join Prof. Zaveri on Facebook and Google+
j.zaveri@dnserp.com
eMail j.zaveri@dnserp.com
eLearning site http://www.dnserp.com
Follow on Twitter @followERP
Connect on LinkedIn http://in.linkedin.com/in/jyotindrazaveri
Connect on Facebook http://www.facebook.com/jyotindra
Subscribe YouTube http://www.youtube.com/dnserp
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24. Thank You
Question / Answer
session
Please clarify your
doubts
Presentation by Prof.
Jyoti Zaveri
– ‘Cyber Coolie’
j.zaveri@dnserp.com
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