33 resultados para Information Filtering, Pattern Mining, Relevance Feature Discovery, Text Mining


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Open access, or the idea anyway, came to life nearly a decade and a half ago. Now almost fifteen years later, we’re still talking about it, still paying exorbitant amounts for periodicals, or their still relatively new counterparts, electronic aggregate databases. Experts tell me that fifteen years is not enough time for a good idea to catch on. I guess that’s the way it is with Murphy’s Law: bad ideas catch on instantly while good ideas come and go, most never seeing the light of day.

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The Ithaka US Faculty Survey 2012 (http://bit.ly/10NnQw9) is out, and by the time you read my blurb, it will have cobwebs on it, and the 2013 will be well on the way. So, why write about it at all? It’s always important to find out what people think of you, in this case libraries and their main clientele, faculty, even if what you find out may have to have a dozen qualifications surrounding it. Libraries and librarians are either on the cusp of something new and exciting, or on the edge of the abyss, soon to fall into oblivion, so finding out what people think should be important to us. So why not take a peek?

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Orange may be the new black, but as I have seen only five minutes of that show, I can’t really use it here. Besides, based on the five minutes I saw, I would assume it is a series written by males. Not since the Victoria’s Secret catalog have I seen so many women wearing fewer clothes, or engaging in so many unmentionable acts. I’ll stop there because my Victorianism is showing, I’m sure.