The Issues On Multimedia Mining - 2951 Words

ISSUES ON MULTIMEDIA MINING ABSTRACT Data mining has popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. This paper analyzes aboutthe use of essential characteristics of multimedia data mining, retrieving information is one of the goals of data mining and different issues have been discussed. The current approaches and techniques are explained for mining multimedia data. KEYWORDS: Data Mining, Multimedia Mining, Clustering, Classification. 1. INTRODUCTION 1.1 Multimedia data mining has been shown in fig.1 is a subfield of data mining that used to find interesting information of implicit knowledge. Multimedia data are classified into five types, there are (i) text data(ii) image data (iii) audio data (iv)video data and (v) electronic and digital ink [2]. Text data can be used in web browsers, messages like MMS and SMS. Image data can be used in art work and pictures with text still images taken by a digital camera. Audio data contains sound,MP3 songs, speech and music. Video data include time aligned sequence of frames, MPEG videos from desktops, cell phones, video cameras. Electronic and digital inkShow MoreRelatedAnnotated Bibliography On Data Mining3115 Words   |  13 PagesABSTRACT Data mining has popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. The current approaches and techniques are explainedRead MoreNotes On The s On Multimedia Mining2618 Words   |  11 Pages.ISSUES ON MULTIMEDIA MINING ABSTRACT Data mining has proved to popular for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining find information from large multimedia database system, using multimedia techniques and powerful tools. KEYWORDS: Data Mining, MultimediaRead MoreData Mining And Multimedia Data2897 Words   |  12 PagesABSTRACT Data mining is a popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. This paper analyzes about the use of essentialRead MoreMultimedia Data And Its Essential Characteristics3302 Words   |  14 PagesAbstract Multimedia data mining is a popular research domain which helps to extract interesting knowledge from multimedia data sets such as audio, video, images, graphics, speech, text and combination of several types of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. 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Supervised Classiï ¬ cation Supervised classification is based uponRead MoreAnnotated Bibliography On Multimedia Data3142 Words   |  13 PagesABSTRACT Multimedia data mining is a popular research domain which helps to extractinteresting knowledge from multimedia data sets such as audio, video, images, graphics, speech, text and combination of several types of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques andRead MoreImpact Of Big Data On Business Decisions1138 Words   |  5 Pageswho know how to use the technology, execute the big data process, and perform the mining tasks which require significant mathematical calculations. This article offers a view of the technical and non-technical requirements of making big data a successful endeavor for an organization. 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This paper presents a visualization tool for large-scale people flow dataset featuring compression and data mining techniques. (Gong, Wang, and Peng 2016) [3] The data mining process is enhanced by the use of bijective soft set tool. This tool helps in mining the soft sets. The recognition ability is lost by bijective data set if faulty data is presented. So it is utmost important to handle faulty data. For this purpose ÃŽ ² misclassification