Essays about: "database discovery"
Showing result 1 - 5 of 26 essays containing the words database discovery.
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1. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Association rule hiding (ARH) is the process of modifying a transaction database to prevent sensitive patterns (association rules) from discovery by data miners. An optimal ARH technique successfully hides all sensitive patterns while leaving all nonsensitive patterns public. READ MORE
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2. Learning the shapes of protein pockets
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The comparison of protein pockets plays an important role in drug discovery. Through the identification of binding sites with similar structures, we can assist in finding hits and characterizing the function of proteins. Traditionally, the geometry of cavities has been described with scalar features, which are not fully representative of the shape. READ MORE
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3. An Efficient Market Study of European CDS and Equity Markets
University essay from Umeå universitet/FöretagsekonomiAbstract : This thesis investigates the price discovery process between the stock and the credit default swap market (CDS). We link the financial theory of efficient markets and the underlying models and conditions involved in CDSs, the stock market and financial crashes. READ MORE
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4. ATLAS DATABASES OF HUMAN BRAIN ANATOMY: QUALITATIVE AND QUANTITATIVE COMPARISON
University essay fromAbstract : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method. Theory Anatomical atlases of the human brain provide reference information about its structure. READ MORE
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5. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE