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Visar resultat 1 - 5 av 7 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Extreme Value Analysis of Huge Datasets: Tail Estimation Methods in High-Throughput Screening and Bioinformatics

   Författare :Dmitrii Zholud; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Extreme Value Statistics; High-Throughput Screening; HTS; Bioinformatics; analysis of huge datasets; quality control; correction of theoretical p-values; comparison of pre-processing methods; SmartTail; estimation of False Discovery Rates; test power; distribution tail; high level excursions; quantile estimation; multiple testing; Student t−test; Welch statistic; small sample sizes; F−test; Wiener process; Gaussian random walk; Shepp statistic; limit theorems; exotic options.; estimation of False Discovery Rates;

   Sammanfattning : This thesis presents results in Extreme Value Theory with applications to High-Throughput Screening and Bioinformatics. The methods described here, however, are applicable to statistical analysis of huge datasets in general. The main results are covered in four papers. LÄS MER

3. 2. Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data

   Författare :Roger Alves de Oliveira; Math Bollen; Sarah Rönnberg; Matti Lehtonen; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; power quality; power system harmonics; electric power distribution; interharmonics; big data analytics; pattern analysis; unsupervised learning; deep learning; artificial intelligence; geomagnetically induced currents; Electric Power Engineering; Elkraftteknik;

   Sammanfattning : Continuous power quality monitoring allows grid stakeholders to obtain information about the performance of the network and costumer facilities. Moreover, the analysis of continuous monitoring allows researchers to obtain knowledge on power quality phenomena. Power quality measurements result in a large amount of data. LÄS MER

4. 3. High-throughput screening of solid-phase extraction materials using mass spectrometry

   Författare :Kishore Jagadeesan; Avdelningen för Biomedicinsk teknik; []
   Nyckelord :mass spectromery; protein separation; sample preparation; Molecularly imprinted polymer; Data analysis; Data visualization; Miniaturisation; Proteomics;

   Sammanfattning : In biomarker analysis, sample preparation plays a crucial step in order to extract, isolate and concentrate the analytes of interest. Among the various sample preparation techniques, solid phase extraction (SPE) is one of the most common and popular, due to the high enrichment factor, good recovery, low consumption of organic solvents and the possibility to automate (off- or on-line) the whole process. LÄS MER

5. 4. Supporting Quantitative Visual Analysis in Medicine and Biology in the Presence of Data Uncertainty

   Författare :Khoa Tan Nguyen; Timo Ropinski; Anders Ynnerman; Anna Vilanova Bartroli; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : The advents of technologies have led to tremendous increases in the diversity and size of the available data. In the field of medicine, the advancements in medical imaging technologies have dramatically improved the quality of the acquired data, such as a higher resolution and higher signal-to-noise ratio. LÄS MER

7. 5. Mining of User Profiles in Online Social Networks for Improved Personalized Recommendations

   Författare :Shatha Jaradat; Mihhail Matskin; James Caverlee; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : We have focused on influencer-based marketing in online social networks as a source of implicit learning about the preferences of social media users. Those users who use social networks on a daily basis are also the online shoppers who are confronted with huge information overload and a wide variety of online products and brands to choose from. LÄS MER