Essays about: "Big Data Profiling"
Showing result 1 - 5 of 6 essays containing the words Big Data Profiling.
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1. Application of transfer learning in text classification for small and medium sized web-based enterprises
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, the open sourcing of pretrained machine learning models through platforms like Hugging Face has reduced the barriers to entry in big data analysis. This thesis studies the use case of such models for web-based organisations, with a focus on text classification. READ MORE
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2. Transfer Learning for Automatic Author Profiling with BERT Transformers and GloVe Embeddings
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Historically author profiling has been used in forensic linguistics. However, it is not until the last decades that the analysis method has worked into computer science and machine learning. In comparison, determining author profiling characteristics in machine learning is nothing new. READ MORE
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3. Change of Purpose - The effects of the Purpose Limitation Principle in the General Data Protection Regulation on Big Data Profiling
University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenAbstract : Over the past few years, many companies have started to adopt Big Data technologies. Big Data is a method and technology that allows the collection and analysis of huge amounts of all kinds of data, mainly in digital form. Big Data can be used, for example, to create profiles of online shopping users to target ads. I call this Big Data Profiling. READ MORE
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4. Profiling memory accesses on the ODROID-XU4
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Decoupled Access-Execute(DAE) is an innovative approach to optimize energy consumption of computer programs by splitting the program into two tasks; the first task is to access data, this is profoundly memory-bound and can be done with energy efficient cores. The second task is to execute and compute the data, which iscompute-bound and can be done with powerful cores. READ MORE
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5. Medium Data on Big Data Predicting Disk Failures in CERNs NetApp-based Data Storage System
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : I describe in this report an experimental system for using classification and regression trees to generate predictions of disk failures in a NetApp-based storage system at the European Organisation for Nuclear Research (CERN) based on a mixture of SMART data, system logs, and low-level system performance dataparticular to NetApp's storage solutions. Additionally, I make an attempt at profiling the system's built-in failure prediction method, and compiling statistics on historical complete-disk failures as well as bad blocks developed. READ MORE