Essays about: "Catalog Data"
Showing result 1 - 5 of 22 essays containing the words Catalog Data.
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1. LEVERAGING OPEN DATA AND SEMANTIC WEB TECHNOLOGIES FOR COURSE RECOMMENDATION A case study of a university in Sweden
University essay from Institutionen för tillämpad informationsteknologiAbstract : Navigating the vast amount of information online is often challenging. This is apparent within the domain of higher education, where the sheer quantity of courses and programs on offer can be overwhelming. READ MORE
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2. Accurately extracting information from a finite set of different report categories and formats
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : POC Sports (hereafter simply POC) is a company that manufactures gear and accessories for winter sports as well as cycling. Their mission is to “Protect lives and reduce the consequences of accidents for athletes and anyone inspired to be one”. READ MORE
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3. Learning From Investor Attention: Examining the Predictive Power of Investor Attention on Market Returns with Machine Learning
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : We study the predictive properties of investor attention on time series market returns. Extending an earlier proposed index of investor attention aggregated from twelve popularly studied attention proxies, we show that it strongly predicts excess returns on the stock market. READ MORE
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4. Finding the seeds of new stars : an image analysis challenge
University essay fromAbstract : Finding the seeds of new stars from astronomical data sets can be a challenge since the images are usually complex and large. In this project interstellar clouds in the Milky Way presented in a data set are analysed using digital image analysing to find dense cores - possible seeds of new stars. READ MORE
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5. Improvement of the Rucio implementation for the LDCS platform and search for dark data
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : In this work we aim to implement a software package to detect and categorize dark data, data not accessible or not known by the user, generated in the simulations of the Light Dark Matter eXperiment (LDMX). This will involve studying current existing solutions for such problems, attempting to implement them for the Lightweight Distributed Computing System (LDCS), and developing our own Dark Data Search (DDS) toolkit to perform the detection and categorization of the dark data. READ MORE