Design, implementation and evaluation of neural data analysis environment

Application development of computationally intelligent systems is a demanding task. This thesis argues that this task can be facilitated through proper software technology. We propose a software architecture through which a knowledge discovery process can be embedded to final applications without la...

Full description

Bibliographic Details
Main Author: Häkkinen, Erkki
Format: Doctoral dissertation
Language:eng
Published: 2001
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/103668
_version_ 1835400262168084480
author Häkkinen, Erkki
author_facet Häkkinen, Erkki Häkkinen, Erkki
author_sort Häkkinen, Erkki
datasource_str_mv jyx
description Application development of computationally intelligent systems is a demanding task. This thesis argues that this task can be facilitated through proper software technology. We propose a software architecture through which a knowledge discovery process can be embedded to final applications without large rebuilding. The thesis describes Neural Data Analysis (NDA) environment where the architecture has been implemented and tested. It is a development environment for knowledge discovery applications. NDA applies Self-Organizing Maps (SOM) and its tree-structured variant as basic methods. It also provides a number of data modeling methods as well as a large set of generic data processing and visualization methods. The thesis gives a comprehensive guideline to SOM based knowledge discovery process that is demonstrated through NDA. Within the overall framework, three topics are studied in more detail. First, we propose a new methodology for data imputation. This methodology applies Self-organising maps to the problem of poor quality data that is often one bottleneck in application development. Secondly, we introduce a framework for SOM based visualisation. This framework integrates the SOM based visualisation with data and knowledge visualisation. Thirdly, we describe the software architecture of NDA and some detailed solutions in the implementation. Finally, the software solution is evaluated through a number of real world cases. These cases verify that our idea for building embedded intelligent systems works in practice. The NDA software has helped us to apply the neural network technology in very different domains from logistics planning to process monitoring and data analysis in behaviour sciences.
first_indexed 2025-06-17T20:00:40Z
format Väitöskirja
fullrecord [{"key": "dc.contributor.author", "value": "H\u00e4kkinen, Erkki", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2025-06-17T11:58:50Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2025-06-17T11:58:50Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2001", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.isbn", "value": "978-952-86-0809-7", "language": null, "element": "identifier", "qualifier": "isbn", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/103668", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Application development of computationally intelligent systems is a demanding task. This thesis argues that this task can be facilitated through proper software technology. We propose a software architecture through which a knowledge discovery process can be embedded to final applications without large rebuilding. The thesis describes Neural Data Analysis (NDA) environment where the architecture has been implemented and tested. It is a development environment for knowledge discovery applications. NDA applies Self-Organizing Maps (SOM) and its tree-structured variant as basic methods. It also provides a number of data modeling methods as well as a large set of generic data processing and visualization methods. The thesis gives a comprehensive guideline to SOM based knowledge discovery process that is demonstrated through NDA. Within the overall framework, three topics are studied in more detail. First, we propose a new methodology for data imputation. This methodology applies Self-organising maps to the problem of poor quality data that is often one bottleneck in application development. Secondly, we introduce a framework for SOM based visualisation. This framework integrates the SOM based visualisation with data and knowledge visualisation. Thirdly, we describe the software architecture of NDA and some detailed solutions in the implementation. Finally, the software solution is evaluated through a number of real world cases. These cases verify that our idea for building embedded intelligent systems works in practice. The NDA software has helped us to apply the neural network technology in very different domains from logistics planning to process monitoring and data analysis in behaviour sciences.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Harri Hirvi (hirvi@jyu.fi) on 2025-06-17T11:58:50Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2025-06-17T11:58:50Z (GMT). No. of bitstreams: 0\n Previous issue date: 2001", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.relation.ispartofseries", "value": "Jyv\u00e4skyl\u00e4 studies in computing", "language": null, "element": "relation", "qualifier": "ispartofseries", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "sovellukset", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "neuroverkot", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "neurotietokoneet", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "mallintaminen", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "visualisointi", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "self-organizing maps", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Design, implementation and evaluation of neural data analysis environment", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "doctoral thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:ISBN:978-952-86-0809-7", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_db06", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.relation.numberinseries", "value": "12", "language": null, "element": "relation", "qualifier": "numberinseries", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author & University of Jyv\u00e4skyl\u00e4", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "restrictedAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "doctoralThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.rights.accessrights", "value": "Aineistoon p\u00e4\u00e4sy\u00e4 on rajoitettu tekij\u00e4noikeussyist\u00e4. Aineisto on luettavissa Jyv\u00e4skyl\u00e4n yliopiston kirjaston <a href=\"https://www.jyu.fi/fi/osc/kirjasto/tyoskentelytilat/laitteet-ja-tilat#toc-jyx-ty-asema\">arkistoty\u00f6asemalta</a>.", "language": "fi", "element": "rights", "qualifier": "accessrights", "schema": "dc"}, {"key": "dc.rights.accessrights", "value": "<br><br>This material has a restricted access due to copyright reasons. It can be read at the <a href=\"https://www.jyu.fi/fi/osc/kirjasto/tyoskentelytilat/laitteet-ja-tilat#toc-jyx-ty-asema\">workstation</a> at Jyv\u00e4skyl\u00e4 University Library reserved for the use of archival materials.", "language": "en", "element": "rights", "qualifier": "accessrights", "schema": "dc"}, {"key": "dc.date.digitised", "value": "2025", "language": null, "element": "date", "qualifier": "digitised", "schema": "dc"}, {"key": "dc.type.okm", "value": "G4", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
id jyx.123456789_103668
language eng
last_indexed 2025-06-17T20:00:40Z
main_date 2001-01-01T00:00:00Z
main_date_str 2001
publishDate 2001
record_format qdc
source_str_mv jyx
spellingShingle Häkkinen, Erkki Design, implementation and evaluation of neural data analysis environment sovellukset neuroverkot neurotietokoneet tekoäly mallintaminen visualisointi self-organizing maps
title Design, implementation and evaluation of neural data analysis environment
title_full Design, implementation and evaluation of neural data analysis environment
title_fullStr Design, implementation and evaluation of neural data analysis environment Design, implementation and evaluation of neural data analysis environment
title_full_unstemmed Design, implementation and evaluation of neural data analysis environment Design, implementation and evaluation of neural data analysis environment
title_short Design, implementation and evaluation of neural data analysis environment
title_sort design implementation and evaluation of neural data analysis environment
title_txtP Design, implementation and evaluation of neural data analysis environment
topic sovellukset neuroverkot neurotietokoneet tekoäly mallintaminen visualisointi self-organizing maps
topic_facet mallintaminen neurotietokoneet neuroverkot self-organizing maps sovellukset tekoäly visualisointi
url https://jyx.jyu.fi/handle/123456789/103668 http://www.urn.fi/URN:ISBN:978-952-86-0809-7
work_keys_str_mv AT häkkinenerkki designimplementationandevaluationofneuraldataanalysisenvironment