Essays about: "data-mining implementation"
Showing result 6 - 10 of 36 essays containing the words data-mining implementation.
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6. A European solution for Text and Data Mining in the development of creative Artificial Intelligence : With a specific focus on articles 3 and 4 of the Digital Signel Market Directive
University essay from Stockholms universitet/Juridiska institutionenAbstract : In today’s data-driven society, also called the Fourth Industrial Revolution, Text and Data Mining (TDM) has become an essential tool in managing the booming Big Data in its different sizes and forms. It is also an inherent part of AI research using machine learning, where these techniques highly depend on datasets derived from TDM to self-learn and to make autonomous decisions. READ MORE
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7. Finding time-based listening habits in users music listening history to lower entropy in data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. READ MORE
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8. Automatic Patent Classification
University essay fromAbstract : Patents have a great research value and it is also beneficial to the community of industrial, commercial, legal and policymaking. Effective analysis of patent literature can reveal important technical details and relationships, and it can also explain business trends, propose novel industrial solutions, and make crucial investment decisions. READ MORE
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9. Efficient Discovery Of Binary Stars
University essay from Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Purpose: even in the era of exponential increase in the amount of stellar data gathered, binaries are still often overlooked in observational data due to the special handling they require. The goal of this work is to develop a method capable of automatically and efficiently identifying and extract double-lined spectroscopic binaries (SB2) from a spectroscopic survey, while being scalable and technically successful, and to identify and optimize the parameters that influence their detection. READ MORE
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10. Pattern Mining in Uncertain Tensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data mining is the art of extracting information from data and creating useful knowledge. Itemset mining, or pattern mining, is an important subfield that consists in finding relevant patterns in datasets. READ MORE