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May 25, 2020 · The main research objective of this article is to study how data mining methodologies are applied by researchers and practitioners. To this end, we use systematic literature review (SLR) as scientific method for two reasons. Firstly, systematic review is based on trustworthy, rigorous, and auditable methodology.
The user logs keep traces of users behaviors when they use the Encarta search engine. The purpose of the web-log mining is to improve Encarta search engine’s performance (which is defined precisely later in the paper) by utilizing the mined knowledge as cache. Indeed, data mining is a promising approach since popular search engines like
- Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, Hongjiang Zhang
- 2002
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
- Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, Hongjiang Zhang
- 2002
the field. This is partly because the use of data mining in education research is relatively new, so its value and consequences are not yet well understood. Yet statisticians, sociologists and those who study computer-based education have discussed the methodological merits of data mining in education research.
Dec 1, 2002 · Most studies on data mining have been focused at mining rules at single concept levels, i.e., either at the primitive level or at a rather high concept level. However, it is often desirable to ...
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 (). Those query patterns can act as cache of the search engine, improving its performance.
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The data mining method can still derive even this complicated rule from the learning data (in a way that will become more clear in the section on Exemplary Techniques), and even if the rule is so complicated that no doctor could even memorize it, we can then use it for a very important purpose—the prediction of future observations.
