Thesis on knowledge discovery

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Jure Leskovec: Publications

Skip to content. Skip to navigation. Knowledge Discovery and Machine Learning KDML is concerned with the development and application of algorithms that can analyse data and derive useful information from it. Our research encompasses both fundamental aspects of this area, as well as applications, primarily aimed at image analysis. Rajeev Raman.

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Integration and visualisation of clinical-omics datasets for medical knowledge discovery. In recent decades, the rise of various omics fields has flooded life sciences with unprecedented amounts of high-throughput data, which have transformed the way biomedical research is conducted. This trend will only intensify in the coming decades, as the cost of data acquisition will continue to decrease. Therefore, there is a pressing need to find novel ways to turn this ocean of raw data into waves of information and finally distil those into drops of translational medical knowledge.
Show full item record. Modeling and evaluation of knowledge discovery in wholesale and retail industry Login. JavaScript is disabled for your browser.
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