Blar i Institutt for datateknologi og informatikk på tittel

Fighting Botnets in an Internet Service Provider Environment

Knutsen, Morten (Master thesis, 2005)

Botnets are compromised hosts under a common command and control infrastructure. These nets have become very popular because of their potential for various malicious activity. They are frequently used for distributed ...

FinanceDoc2JSON: Parsing and structuring invoices and other financial documents with deep learning

Arnkværn, Brage; Schoeler, Sigurd (Bachelor thesis, 2021)

Denne oppgaven dokumenterer prosessen vår med å få en maskinlæringsmodell til å forstå finansielle dokumenter og tolke dem til JSON. Vi opprettet et datasett og evaluerte flere modeller, men endte opp med YoloV3 modellen ...

Financial Information Extraction and Visualization

Rybak, Jan (Master thesis, 2013)

In the scope of this thesis we are addressing two challenges, automated information extraction and its comprehensible visualization. The first part is concerned with identification of possibly interesting financial data ...

Financial News Mining: - Extracting useful Information from Continuous Streams of Text

Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)

Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...

Financial News Mining:: Extracting useful Information from Continuous Streams of Text

Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)

Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...

Finding an Optimal Approach for Indexing DNA Sequences

Brujordet, Anders (Master thesis, 2010)

In this thesis you should find an optimal approach to index and retriev DNA sequences. As part of the task you should develop an algorithm that is fast, and accurate enough to find relevant sequences. The result will be ...

Finding and Mapping Expertise Automatically Using Corporate Data

Vennesland, Audun (Master thesis, 2007)

In an organization, both management as well as new and experienced employees often have a need to get in touch with experts in a variety of situations. The new staff members need to learn how to perform their job, the ...

Finding Data Should be Easier than Finding Oil

Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Horrocks, Ian; Waaler, Arild (Chapter, 2018)

The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ...

Finding Data Should be Easier than Finding Oil

Kharlamov, Evgeny; Skjæveland, Martin G; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lie, Hallstein; Waaler, Arild (Journal article; Peer reviewed, 2018)

The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ...

Finding kings in tournaments

Biswas, Arindam; Jayapaul, Varunkumar; Raman, Venkatesh; Satti, Srinivasa Rao (Peer reviewed; Journal article, 2022)

Finding Security Patterns to Countermeasure Software Vulnerabilities

Borstad, Ole Gunnar (Master thesis, 2008)

Software security is an increasingly important part of software development as the risk from attackers is constantly evolving through increased exposure, threats and economic impact of security breaches. Emerging security ...

Finding the Nearest Wheelchair: the Application of AI Search Methods to Logistical Problems in the Hospital

Rognhaugen, Aleksander (Master thesis, 2014)

Ever since the invention of the Global Positioning System (GPS) and its slow entry into the public domain in the 80s and 90s, location tracking has become an increasingly important tool for scientific research, surveillance, ...

Fine-grained Twitter geolocation prediction based on metadata

Johannes Zelalem Vollan (Master thesis, 2019)

Knowledge about exact tweet location is valuable for several reasons. The proportion of geotagged tweets are reported to be low, ranging from 0.42% to 3% [8; 5; 17]. Estimation of tweet location based on tweet text has ...

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

Umuroglu, Yaman; Fraser, Nicholas J.; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Jahre, Magnus; Vissers, Kees (Chapter, 2017)

Research has shown that convolutional neural networks contain significant redundancy, and high classification accuracy can be obtained even when weights and activations are reduced from floating point to binary values. In ...

Finnes forløp i helsedata?: En undersøkelse av innhold, samsvar og datakvalitet for et pasientadministrativt system og Norsk pasientregister, med fokus på forløpsrelaterte hendelser.

Woll, Rannveig (Master thesis, 2012)

BAKGRUNN: Pågående nasjonale prosjekter har mål om økt kunnskapsgrunnlag for å oppnå bedre kvalitet på behandlingstjenester i helsevesenet og for mer helhetlige pasientforløp. Dette skal oppnås gjennom forbedring av ...