基于关联规则的日语电影资源视觉挖掘方法

IF 0.4 3区 哲学 0 PHILOSOPHY European Journal for Philosophy of Religion Pub Date : 2022-10-26 DOI:10.24204/ejpr.2021.3882
Qin Wang
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引用次数: 0

摘要

其中一个备受关注的关键研究领域是关联规则挖掘。它是数据库知识发现(KDD)的关键。KDD和关联规则挖掘有着非常广泛的用途。在过去的15年里,它发展得很快。关联规则挖掘是一项新兴的技术,目前还处于发现和发展阶段。视频是交互式媒体数据的一个例证,因为它包含文本、图片、元数据、视觉、声音和不同类型的数据。它经常用于各种重要的可能原因,例如安全和侦察、娱乐、医疗保健、教育和体育。视频数据挖掘是当前数据挖掘研究的主要问题之一,其目的是从大量的视频数据中发现和理解有趣的例子。与挖掘其他类型的数据相比,视频数据挖掘仍处于起步阶段。随着计算机图书馆和视频数据库的不断扩展,如何把握和自然地挖掘视频数据库中的信息是至关重要的。在视频数据挖掘领域,区分重要视频库中组件之间的关联规则是关键。通过不断的想象工作,关联规则挖掘正在迅速应用于各种任务,包括感知、社会事务、广播新闻、体育、唱片、电影、临床数据,以及网络和个人媒体分类。本研究试图为视频数据库的关联规则提取提供一种意义深远的方法。
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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 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.
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来源期刊
CiteScore
0.80
自引率
20.00%
发文量
53
期刊介绍: European Journal for Philosophy of Religion (EJPR) is a peer-reviewed international journal devoted to the problems of the philosophy of religion. EJPR has been founded with the aim of fostering the development of philosophy of religion in Europe and elsewhere.
期刊最新文献
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