10 Questions
What percentage of clients left the site after 4 or less references?
65%
What fills the information gap between web users and web designers?
Web Mining
Which of the following is NOT mentioned as a challenge in data analytics according to the text?
More accuracy
What percentage of clients who accessed /products/software/webminer.html are likely to be from educational institutions?
60%
What is the distribution of user session duration used for in Path and Usage Pattern Discovery?
The text does not specify
What is the relationship between clients who placed an online order for WEBMINER and those who placed another online order for software within 15 days?
60% of clients who ordered WEBMINER also ordered software within 15 days
In the context of web transactions, what does P(X v Y) represent in association rules?
The confidence of X and Y
What is the purpose of discovering similarity among sets of items across transactions in data mining?
To understand usage patterns and paths
Based on the given example from the text, what is the confidence level for the association {Badminton, Diving} ===> {Table Tennis}?
69.7%
What is a key challenge associated with session inference from web transaction logs?
Handling large volumes of data
Study Notes
Web Analytics
- 58% of clients left the site after 4 or less references.
- Personas fill the information gap between web users and web designers.
Challenges in Data Analytics
- NOT mentioned as a challenge in data analytics: [No specific answer provided]
Web Transactions
- 40% of clients who accessed /products/software/webminer.html are likely to be from educational institutions.
Path and Usage Pattern Discovery
- The distribution of user session duration is used for identifying usage patterns.
Association Rules
- P(X v Y) represents the probability of X or Y occurring in web transactions.
- The purpose of discovering similarity among sets of items across transactions is to identify association rules.
Association Rules Example
- The confidence level for the association {Badminton, Diving} ===> {Table Tennis} is 0.2.
Session Inference
- A key challenge associated with session inference from web transaction logs is identifying the intent behind multiple consecutive requests from a single user.
Explore the trends in data analytics and the significance of web mining in bridging the gap between web users and web designers. Learn about the use of data in acquiring competitive advantage and adding intelligence to businesses.
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