Share these talks and lectures with your colleagues
Invite colleaguesWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- Web usage mining
- Kinds of things we want to know
- Web usage mining for E-business analytics
- Typical sources of data and user transactions
- What's in a typical server log?
- Typical fields in a log file entry
- Usage data preparation tasks
- Levels of aggregation in web usage analysis
- Conceptual representation of user transactions
- Web usage mining as a process
- Common web usage mining tasks (1)
- Common web usage mining tasks (2)
- Example: association analysis for E-commerce
- Example: association rules
- Characterizing user segments via clustering
- Example: clustering user transactions
- Example: collaborative filtering (1)
- Example: collaborative filtering (2)
- Example: web personalization
- Conclusions
- Additional references
Topics Covered
- Web usage mining for e-business analytics
- Typical sources of data and user transactions
- A typical server log
- Usage data preparation tasks
- Levels of aggregation in web usage analysis
- Conceptual representation of user transactions
- Web usage mining as a process
- Common tasks
- Association analysis for e-commerce
- Association rules
- Characterizing user segments via clustering
- Clustering user transactions
- Collaborative filtering
- Web personalization
Talk Citation
Mobasher, B. (2008, June 17). Overview of web mining and its applications 2 [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 14, 2024, from https://doi.org/10.69645/HUDA8099.Export Citation (RIS)