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  2. Special Interest Group on Knowledge Discovery and Data Mining

    en.wikipedia.org/wiki/Special_Interest_Group_on...

    The focus is on innovative research in data mining, knowledge discovery, and large-scale data analytics. Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications.

  3. Mining Innovation Rehabilitation and Applied Research ...

    en.wikipedia.org/wiki/Mining_Innovation...

    EVO was created in 2008 from the former CMT (Centre for Mining Technology) and VREX (Virtual Reality Exploration) groups.CMT focused on technology projects like Water-jet scaling and mine planning, while VREX focused on mine safety, [4] and integration, interpretation, and visualization through its Virtual Reality Laboratory (owned by Laurentian University).

  4. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data aggregation involves combining data together (possibly from various sources) in a way that facilitates analysis (but that also might make identification of private, individual-level data deducible or otherwise apparent). [31] This is not data mining per se, but a result of the preparation of data before—and for the purposes of—the ...

  5. Domain driven data mining - Wikipedia

    en.wikipedia.org/wiki/Domain_driven_data_mining

    Actionable knowledge refers to the knowledge that can inform decision-making actions and be converted to decision-making actions. [5] [10] The actionability of data mining and machine learning findings, also called knowledge actionability, refers to the satisfaction of both technical (statistical) and business-oriented evaluation metrics or measures in terms of objective [11] [12] and/or ...

  6. Genome mining - Wikipedia

    en.wikipedia.org/wiki/Genome_mining

    The mining process relies on a huge amount of data (represented by DNA sequences and annotations) accessible in genomic databases. By applying data mining algorithms , the data can be used to generate new knowledge in several areas of medicinal chemistry , [ 2 ] [ 3 ] such as discovering novel natural products .

  7. Stawell Underground Physics Laboratory - Wikipedia

    en.wikipedia.org/wiki/Stawell_Underground...

    The Stawell Underground Physics Laboratory (SUPL) is a laboratory 1 km deep in the Stawell Gold Mine, located in Stawell, Shire of Northern Grampians, Victoria, Australia. Together with the planned Agua Negra Deep Experiment Site (ANDES) at the Agua Negra Pass , it is one of just two underground particle physics laboratories in the Southern ...

  8. Free Bitcoin Mining Games: Learn and Earn - AOL

    www.aol.com/free-bitcoin-mining-games-learn...

    It’s a Bitcoin mining simulator game that allows users to earn Bitcoin at no initial cost — new users can earn free Satoshi straight away. A Satoshi is a term given to a fraction of a Bitcoin.

  9. Knowledge extraction - Wikipedia

    en.wikipedia.org/wiki/Knowledge_extraction

    Knowledge discovery describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. [44] It is often described as deriving knowledge from the input data. Knowledge discovery developed out of the data mining domain, and is closely related to it both in terms of methodology and ...