Retrieving Electronic Data Interchange (EDI) Dataset using Text Mining Methods
Electronic Archive of Sumy State University
Переглянути архів Інформація| Поле | Співвідношення | |
| Title |
Retrieving Electronic Data Interchange (EDI) Dataset using Text Mining Methods
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| Creator |
Zakaria, Suliman Zubi
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| Description |
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.
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| Publisher |
Сумський державний університет
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| Date |
2012-09-18T11:03:56Z
2012-09-18T11:03:56Z 2012 |
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| Type |
Article
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| Identifier |
Zakaria, Suliman Zubi. Retrieving Electronic Data Interchange (EDI) Dataset using Text Mining Methods [Текст] / S.Z. Zakaria // Сучасні інформаційні системи і технології : матеріали Першої міжнародної науково-практичної конференції, м. Суми, 15-18 травня 2012 р. / Ред.кол.: А.С. Довбиш, О.А. Борисенко, І.В. Баранова. — Суми : СумДУ, 2012. — С. 84-98.
http://essuir.sumdu.edu.ua/handle/123456789/28658 |
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| Language |
en
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