The latest Analytics Mag from the Informs Group. Below some quick summaries of key articles, plus lots more at the link. Always informative.
Beyond Cross Industry Standard Process for Data Mining
Data people come in all shapes and sizes; the modern industry analytics professional may have had his or her foundational training as a research physicist, might have cut his or her teeth optimizing ad revenue and “click” count, or may have a traditional statistics or actuarial background [1]. Surprisingly, the recent explosion in availability of data tools and expertise has not yet been accompanied by the development of firmer, contemporary frameworks for “doing” data science. Should we wait for a random search to evolve an optimal algorithm for conducting the modern data science workstream? Or are older frameworks such as CRISP-DM (Cross Industry Standard Process for Data Mining) [2] optimal and sufficiently useful models? ....
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