Sökning: "Datarepresentation"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet Datarepresentation.

1. 1. Datarepresentation: Custom Visuals : Hur man skapar en Custom Visual i Microsofts Power BI

   Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

   Författare :Anton Weiberg; Sabina Andersson; [2022]
   Nyckelord :Power Bi; Custom Visual; Datarepresentation; Visualisering av data;

   Sammanfattning : Power BI är ett verktyg för att hjälpa företag visualisera och analysera data. I Power BIanvänds Visuals för att bygga upp en lättförståelig datarepresentation, men alternativenär begränsade. LÄS MER

3. 2. Evaluation of a Proposed Traffic-Splitting Defence for Tor : Using Directional Time and Simulation Against TrafficSliver

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Jonathan Magnusson; [2021]
   Nyckelord :Tor; Website Fingerprinting; Deep Learning; Deep Fingerprinting; Traffic Splitting; TrafficSliver;

   Sammanfattning : Tor is a Privacy-Enhancing Technology based on onion routing which lets its users browse the web anonymously. Even though the traffic is encrypted in multiple layers, traffic analysis can still be used to gather information from meta-data such as time, size, and direction of the traffic. LÄS MER

4. 3. On the effectiveness of ß-VAEs for imageclassification and clustering : Using a disentangled representation for Transfer Learning and Semi-Supervised Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Vittorio Maria Enrico Denti; [2020]
   Nyckelord :;

   Sammanfattning : Data labeling is a critical and costly process, thus accessing large amounts of labeled data is not always feasible. Transfer Learning (TL) and Semi-Supervised Learning (SSL) are two promising approaches to leverage both labeled and unlabeled samples. LÄS MER

5. 4. Feature Selection for Sentiment Analysis of Swedish News Article Titles

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jonas Dahl; [2018]
   Nyckelord :sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi;

   Sammanfattning : The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. LÄS MER

7. 5. Re-defining data visuals for an efficient and sustainable food waste management

   Magister-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Suhas Singh; [2017]
   Nyckelord :Food wastage; Food waste management; Human behavior; Infographics; Sustainable Development; Visual data representation;

   Sammanfattning : The use of visual data representation is increasing the possibilities to exchange information and communicate indifferent contexts all over the world. Communicating food wastage visually to influence consuming patterns isone of these possibilities. LÄS MER