The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-852
Full Name: Zakaria zubi
Position: Associate Professor
Age: ON
Sex: Male
Address: Sirt University, Faculty of Science, Computer Science Department Sirte, P.O Box 727, Libya,
Country: LIBYA
Tel: +218913752962
Tel prefix:
Fax:
E-mail address: zszubi@yahoo.com
Other E-mails:
Title of the Paper: Using Text Mining Techniques in Electronic Data Interchange Environment
Authors as they appear in the Paper: Zakaria Suliman Zubi
Email addresses of all the authors: zszubi@yahoo.com
Number of paper pages: 15
Abstract: Abstract: - The internet is a huge source of documents, containing a massive number of texts 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 utilize the standard K-means algorithm on EDI text documents dataset that most commonly used in electronic interchange and we 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.
Keywords: Key-Words: - Electronic Data Interchange (EDI), Web Mining, Text Mining, Clustering, K-mean algorithm, Similarity Measures, Partitioned Cluster Analysis.
EXTENSION of the file: .doc
Special (Invited) Session: Text Mining Documents in Electronic Data Interchange Environment
Organizer of the Session: 632-133
How Did you learn about congress:
IP ADDRESS: 41.254.2.94
