| dc.contributor.author | Griazev, Kiril | |
| dc.contributor.author | Ramanauskaitė, Simona | |
| dc.date.accessioned | 2023-09-18T17:18:51Z | |
| dc.date.available | 2023-09-18T17:18:51Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/121849 | |
| dc.description.abstract | The information publication on the Internet increases the information accessibility. However, the amount of data on the Internet increases rapidly and it becomes difficult to find the needed information among multiple possible sources. Therefore, automated tools for web mining gain their popularity and seek to simplify the gathering of the information, published on the internet. The purpose of information gathering as well as web page development technologies, format of published data and other properties might be different therefore different web mining methods exist. However, there is no clear classification or a complete list of web mining techniques therefore it is difficult to fully understand the web mining area. In this paper we present a new web mining taxonomy, designed to clarify the web mining area. The taxonomy will serve as classification methodology and will allow classification of existing web mining technologies or methods according to clearly defined criteria and categories. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-4 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
| dc.source.uri | https://ieeexplore.ieee.org/document/8394124/ | |
| dc.title | Web mining taxonomy | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.references | 15 | |
| dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | IK0101 - Informacijos ir informacinių technologijų sauga / Information and Information Technologies Security | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | web mining | |
| dc.subject.en | taxonomy | |
| dc.subject.en | classificator | |
| dcterms.sourcetitle | 2018 Open Conference of Electrical, Electronic and Information Sciences (eStream), 26 April 2018, Vilnius, Lithuania | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | New York | |
| dc.identifier.doi | 000437153000009 | |
| dc.identifier.doi | 2-s2.0-85050628594 | |
| dc.identifier.doi | 10.1109/eStream.2018.8394124 | |
| dc.identifier.elaba | 30254747 | |