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E xample of a bibliomining system: logs.library.cornell.edu. Adam Chandler Data Discussion on Library Data Cornell University Library June 1, 2012. What is it?. Live demo 1. That’s it? Why bother? Just use Google Analytics. Why not Google Analytics?. l ogs.library.cornell.edu:
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Example of a bibliomining system:logs.library.cornell.edu Adam Chandler Data Discussion on Library Data Cornell University Library June 1, 2012
What is it? logs.library.cornell.edu
Live demo 1 logs.library.cornell.edu
That’s it? Why bother? Just use Google Analytics logs.library.cornell.edu
Why not Google Analytics? logs.library.cornell.edu: • Uses Cornell single sign for security and convenience • gives us the freedom to export and use the data anyway we want for our special reporting needs • requires no changes to our websites. Google Analytics requires a section of Javascript code that sends information about each request to Google where it is recorded. Repeated privacy violations from commercial sites such as Facebook are driving some users towards widgets such as ghostery (http://news.ghostery.com/) that block javascript based web tracking. • our flexible designallows us to store logs which cannot easily be tracked with javascript: examples: PURL, checkip, flickr logs.library.cornell.edu
'bibliomining' Nicholson, S. (2003) The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making. Information Technology and Libraries 22 (4) logs.library.cornell.edu
“The term 'bibliomining' was first used by Nicholson and Stanton (2003) in discussing data mining for libraries.In the research literature, most works that contain the terms 'library' and 'data mining' are not talking about traditional library data, but rather using library in the context of software libraries, as data mining is the application of techniques from a large library of tools.In order to make it more conducive for those concerned with data mining in a library setting to locate other works and other researchers, the term 'bibliomining' was created.The term pays homage to bibliometrics, which is the science of pattern discovery in scientific communication.” logs.library.cornell.edu
“Bibliomining is the application of statistical and pattern-recognition tools to large amounts of data associated with library systems in order to aid decision-making or justify services.” logs.library.cornell.edu
“The bibliomining process consists of • · determining areas of focus; • · identifying internal and external data sources; • · collecting, cleaning, and anonymizing the data into a data warehouse; • · selecting appropriate analysis tools; • · discovery of patterns through data mining and creation of reports with traditional analytical tools; and • · analyzing and implementing the results.” logs.library.cornell.edu
Nicholson, S. (2003) The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making. Information Technology and Libraries 22 (4) logs.library.cornell.edu
“The process is cyclical in nature: as patterns are discovered, more questions will be raised which will start the process again.As additional areas of the library are explored, the data warehouse will become more complete, which will make the exploration of other issues much easier.” logs.library.cornell.edu
Apache Log logs.library.cornell.edu
Apache Log logs.library.cornell.edu
CUL Logs IP Address Groups CU (Qatar) CU (Weill) Ithaca not CU CU (Campus) CU Lib (Public) NY not Ithaca CU Lib (Staff) USA not NY Overseas logs.library.cornell.edu
Live demo 2 logs.library.cornell.edu
Who uses it and for what? logs.library.cornell.edu
How do I get help? logs.library.cornell.edu
How do I get help? logs.library.cornell.edu
https://confluence.cornell.edu/display/culweblogstool/ logs.library.cornell.edu
Credits logs.library.cornell.edu
Credits logs.library.cornell.edu