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  1. Dec 1, 2002 · This work proposes a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine that can act as cache of the search engine, improving its performance.

  2. We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine (). Those query patterns can act as cache of the search engine, improving its performance.

    • Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, Hongjiang Zhang
    • 2002
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  4. Data mining is a process of systematically, and automatically or semi-automatically, uncovering patterns in data (Witten, Frank and Hall, 2011). It is typically conducted on very large datasets that would be difficult to examine sufficiently through traditional descriptive and inferential approaches.

  5. Dec 1, 2002 · We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine (http://encarta.msn.com)....

  6. Mar 17, 2021 · Data mining, a subfield of artificial intelligence that makes use of vast amounts of data in order to allow significant information to be extracted through previously unknown patterns, has been progressively applied in healthcare to assist clinical diagnoses and disease predictions [ 2 ].

    • Maikel Luis Kolling, Leonardo B. Furstenau, Michele Kremer Sott, Bruna Rabaioli, Pedro Henrique Ulmi...
    • 10.3390/ijerph18063099
    • 2021
    • 2021/03
  7. Apr 1, 2002 · We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine. Opens in a new tab View Publication

  8. May 25, 2020 · The availability of Big Data has stimulated widespread adoption of data mining and data analytics in research and in business settings (Columbus, 2017). Over the years, a certain number of data mining methodologies have been proposed, and these are being used extensively in practice and in research.

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