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    Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database ...

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    A Data Mining Glossary . A . Accuracy. A measure of a predictive model that reflects the proportionate number of times that the model is correct when applied to data.

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    The application of data mining in e-learning systems is an iterative cycle (Romero & Ventura, 2007). The mined knowledge should enter the loop of the system and guide ...

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    A New Image Mining Approach for Detecting Micro-Calcification in Digital Mammograms

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    Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more alluring question of how best to extract meaningful knowledge.

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    We are in the Cambrian era in the development of artificial intelligence. Heres a practical guide for introducing and spreading AI within large organizations.

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    analysis of data, data mining, like artificial intelligence, is an umbrella term and is used with varied meaning in a wide range of contexts. (1) W. Frawley and G. PiatetskyShapiro and C. Matheus, Knowledge Discovery in Databases: An Overview. AI

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    Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many ...

    • Published in: Applied Artificial Intelligence · 2003Authors: Shichao Zhang · Chengqi Zhang · Qiang YangAffiliation: Faculty of Information Technology University Džemal Bijedic of MostarAbout: Profitability index · Data mining · Data analysis
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