Classification of Data From Icelandic Financial Statements

Heildartexti lokaskýrslu. Prentuð útgafa og öll fylgiskjöl á CD eru varðveitt í bókasafni HR Financial reports tell the financial story of a company, it is valuable information for anyone who might be interested in investing in these companies. In Iceland these reports are only available in PDF form...

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Bibliographic Details
Main Authors: Carsten Petersen 1975-, Róbert Gunnarsson 1963-, Sigurrós Soffía Kristinsdóttir 1979-
Other Authors: Háskólinn í Reykjavík
Format: Thesis
Language:English
Published: 2014
Subjects:
Tölvunarfræði
Tölvufræði
Gagnavinnsla
Computer science
Data mining
Iceland
Online Access:http://hdl.handle.net/1946/21098
id ftskemman:oai:skemman.is:1946/21098
record_format openpolar
spelling ftskemman:oai:skemman.is:1946/21098 2023-05-15T16:48:27+02:00 Classification of Data From Icelandic Financial Statements Carsten Petersen 1975- Róbert Gunnarsson 1963- Sigurrós Soffía Kristinsdóttir 1979- Háskólinn í Reykjavík 2014-05 application/pdf http://hdl.handle.net/1946/21098 en eng http://hdl.handle.net/1946/21098 Tölvunarfræði Tölvufræði Gagnavinnsla Computer science Data mining Thesis Bachelor's 2014 ftskemman 2022-12-11T06:53:19Z Heildartexti lokaskýrslu. Prentuð útgafa og öll fylgiskjöl á CD eru varðveitt í bókasafni HR Financial reports tell the financial story of a company, it is valuable information for anyone who might be interested in investing in these companies. In Iceland these reports are only available in PDF format and they only follow a loosely defined structure. Kóði is a company that would like to be able to extract and work with the data contained in these reports. In this report we look at the feasibility of using machine learning techniques to extract and classify data from Icelandic financial reports. Kóði ehf Thesis Iceland Skemman (Iceland)
institution Open Polar
collection Skemman (Iceland)
op_collection_id ftskemman
language English
topic Tölvunarfræði
Tölvufræði
Gagnavinnsla
Computer science
Data mining
spellingShingle Tölvunarfræði
Tölvufræði
Gagnavinnsla
Computer science
Data mining
Carsten Petersen 1975-
Róbert Gunnarsson 1963-
Sigurrós Soffía Kristinsdóttir 1979-
Classification of Data From Icelandic Financial Statements
topic_facet Tölvunarfræði
Tölvufræði
Gagnavinnsla
Computer science
Data mining
description Heildartexti lokaskýrslu. Prentuð útgafa og öll fylgiskjöl á CD eru varðveitt í bókasafni HR Financial reports tell the financial story of a company, it is valuable information for anyone who might be interested in investing in these companies. In Iceland these reports are only available in PDF format and they only follow a loosely defined structure. Kóði is a company that would like to be able to extract and work with the data contained in these reports. In this report we look at the feasibility of using machine learning techniques to extract and classify data from Icelandic financial reports. Kóði ehf
author2 Háskólinn í Reykjavík
format Thesis
author Carsten Petersen 1975-
Róbert Gunnarsson 1963-
Sigurrós Soffía Kristinsdóttir 1979-
author_facet Carsten Petersen 1975-
Róbert Gunnarsson 1963-
Sigurrós Soffía Kristinsdóttir 1979-
author_sort Carsten Petersen 1975-
title Classification of Data From Icelandic Financial Statements
title_short Classification of Data From Icelandic Financial Statements
title_full Classification of Data From Icelandic Financial Statements
title_fullStr Classification of Data From Icelandic Financial Statements
title_full_unstemmed Classification of Data From Icelandic Financial Statements
title_sort classification of data from icelandic financial statements
publishDate 2014
url http://hdl.handle.net/1946/21098
genre Iceland
genre_facet Iceland
op_relation http://hdl.handle.net/1946/21098
_version_ 1766038530790785024

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