Tag: Data mining

To boldly go… the librarian’s role in text and data mining

Jane Secker et al examine the ways in which librarians can facilitate the work of researchers who want to use text and data mining. The authors also argue that librarians need to encourage researchers to exploit the new copyright exceptions

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Inside a Pioneering Italian Data Journalism Collaboration

Editor’s Note: Confiscati Bene, released in mid-December in Europe, is a pioneering data journalism collaboration that digs into the $4 billion of goods in the EU confiscated from criminals by European authorities. An international team of journalists and their allies

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A Gentle Guide to Machine Learning

Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed. Got it? We can make machines learn to do things! The first time I

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Canberra Data Miners: Seminar on Text, Knowledge and Information Extraction, by Dr Lizhen Qu (NICTA), Canberra, 4:30-5:30pm, Tuesday 1 Sept

(This article was first published on blog.RDataMining.com, and kindly contributed to R-bloggers) Topic: Text, Knowledge, and Information Extraction Speaker: Dr. Lizhen Qu, Researcher at NICTA Organizer: Canberra Data miners Meetup Group Date and time: 4:30-5:30pm, Tuesday 1 Sept Location: Teal

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NI Open Data – Mining Prescription Data Part 2. – #opendata #spark #clojure

The Story So Far…. You can read part 1 here. A few weeks ago I started on finding out which were the most popular items that a GP practice would prescribe. Once again I turned to Sparkling and Clojure to

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Mining Administrative Data to Spur Urban Revitalization

New paper by Ben Green presented at the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: “After decades of urban investment dominated by sprawl and outward growth, municipal governments in the United States are responsible for the upkeep of

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Exploiting the data mine

Chemists must embrace open data to allow us to collectively get the best out of the masses of new knowledge we unearth, reports Clare Sansom

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Dummies for Data Science – A Reading List

There are two new books in the “… For Dummies” series that are targeted to our profession: “Data Science For Dummies” by Lillian Pierson, and “Data Mining for Dummies” by Meta Brown. I don’t know about you, but I am happy

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Data Lab Link Roundup: python pivot tables, Hypothesis for testing, data mining algorithms in plain english and more…

  The effect of time of day on mood via the Jawbone Blog Here are some things that caught our attention last week: There’s a consultation draft of the International Open Data Charter up for… consultation. It outlines a set

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