VISUAL MINING METHOD OF JAPANESE MOVIE RESOURCES BASED ON ASSOCIATION RULES
One of the crucial fields of study that is getting more attention is association rule mining. It is crucial to databases' knowledge discovery (KDD). KDD and association rule mining have a very broad use. It has evolved at a rapid rate over the past fifteen years. Association Rule Mining is a no...
| Main Author: | |
|---|---|
| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Published: |
2023
|
| In: |
European journal for philosophy of religion
Year: 2023, Volume: 15, Issue: 4, Pages: 419-435 |
| Further subjects: | B
Visual mining method
B video classification B Association rules B Data mining |
| Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
MARC
| LEADER | 00000naa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1897943989 | ||
| 003 | DE-627 | ||
| 005 | 20240806180340.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240806s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.24204/ejpr.2021.3882 |2 doi | |
| 035 | |a (DE-627)1897943989 | ||
| 035 | |a (DE-599)KXP1897943989 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 0 |2 ssgn | ||
| 100 | 1 | |a Wang, Qin |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a VISUAL MINING METHOD OF JAPANESE MOVIE RESOURCES BASED ON ASSOCIATION RULES |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a One of the crucial fields of study that is getting more attention is association rule mining. It is crucial to databases' knowledge discovery (KDD). KDD and association rule mining have a very broad use. It has evolved at a rapid rate over the past fifteen years. Association Rule Mining is a novel technology, although it is still in the discovery and development stages. Video is an illustration of interactive media data since it contains text, pictures, meta-data, visual, sound, and different kinds of data. It is frequently used for a variety of important likely reasons, such as security and reconnaissance, amusement, healthcare, educational endeavours, and sports. One of the main issues for the local data-mining research community is video data mining, which aims to find and comprehend fascinating examples from the large volume of video data. Video data mining is still in its infancy when compared to mining other sorts of data. It is pivotal to grasp and naturally mine the information from video databases considering the continually extending computerized libraries and video databases. Differentiating association rules between components in a significant video library is critical in the field of video data mining. As per continuous imaginative work, association rule mining is being utilized rapidly in various tasks, including perception, social affairs, broadcast news, sports, records, films, clinical data, as well as on the web and individual media assortments. This exploration tries to give a far-reaching method to association rule extraction from video databases. | ||
| 650 | 4 | |a Association rules | |
| 650 | 4 | |a Data Mining | |
| 650 | 4 | |a Visual mining method | |
| 650 | 4 | |a video classification | |
| 773 | 0 | 8 | |i Enthalten in |t European journal for philosophy of religion |d Innsbruck : University of Innsbruck in cooperation with the John Hick Centre for Philosophy of Religion at the University of Birmingham, 2009 |g 15(2023), 4, Seite 419-435 |h Online-Ressource |w (DE-627)718600770 |w (DE-600)2659606-4 |w (DE-576)477533728 |7 nnas |
| 773 | 1 | 8 | |g volume:15 |g year:2023 |g number:4 |g pages:419-435 |
| 856 | 4 | 0 | |u https://doi.org/10.24204/ejpr.2021.3882 |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u https://www.philosophy-of-religion.eu/index.php/ejpr/article/view/3882 |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 4563332178 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1897943989 | ||
| LOK | |0 005 20240806171241 | ||
| LOK | |0 008 240806||||||||||||||||ger||||||| | ||
| LOK | |0 040 |a DE-Tue135 |c DE-627 |d DE-Tue135 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-Tue135 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a ixzs |a ixzo | ||
| ORI | |a SA-MARC-ixtheoa001.raw | ||
| REL | |a 1 | ||
| STA | 0 | 0 | |a Data mining |
| STB | 0 | 0 | |a Exploration de données |
| STC | 0 | 0 | |a Minería de dados |
| STD | 0 | 0 | |a Data mining |
| STF | 0 | 0 | |a 数据挖掘 |
| STG | 0 | 0 | |a Mineração de dados |
| STH | 0 | 0 | |a Data mining,Глубинный анализ данных |
| STI | 0 | 0 | |a Εξόρυξη δεδομένων,Data mining |
| SUB | |a REL | ||
| SYE | 0 | 0 | |a Datamining,Datenmustererkennung,Data-Mining |
