Retrieving Electronic Data Interchange (EDI) Dataset using Text Mining Methods

Abstract: - The internet is a huge source of documents, containing a massive number of texts presented in multilingual languages on a wide range of topics. These texts are demonstrating in an electronic documents format hosted on the web. The documents exchanged using special forms in an Electronic Data Interchange (EDI) environment. Using web text mining approaches to mine documents in EDI environment could be new challenging guidelines in web text mining. Applying text-mining approaches to discover knowledge previously unknown patters retrieved from the web documents by using partitioned cluster analysis methods such as k- means methods using Euclidean distance measure algorithm for EDI text document datasets is unique area of research these days. Our experiments employ the standard K-means algorithm on EDI text documents dataset that most commonly used in electronic interchange. We also report some results using text mining clustering application solution called WEKA. This study will provide high quality services to any organization that is willing to use the system. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/2865

Recent methods and techniques in video watermarking and their applicability to the next generation video codec

High efficiency video coding (HEVC) is the newest video coding generation of the ITU-T and ISO/IEC, which first appeared in January 2013. It has the advantage of reducing the bit rate by as much as 50 % when compared to H.264 while maintaining the same visual quality. In the last decade, authentication and copyright protection methodologies have become one of the essential items in order to protect video contents by embedding within an efficient video codec. Thus, the objective of this paper is to revise recent developments in the area of watermarking techniques for video coding schemes and their applicability to the new Standard HEVC. The results of this study provide motivation to achieve a higher embedding capacity and higher compression performance for HEVC compared to H.264/AVC especially, for low bitrate coding