کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10366471 | 872522 | 2005 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Implementation of fuzzy classification in relational databases using conventional SQL querying
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
تعامل انسان و کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
In this paper, a framework for implementing fuzzy classifications in information systems using conventional SQL querying is presented. The fuzzy classification and use of conventional SQL queries provide easy-to-use functionality for data extraction similar to the conventional non-fuzzy classification and SQL querying. The developed framework can be used as data mining tool in large information systems and easily integrated with conventional relational databases. The benefits of using the presented approach include more flexible data analysis and improvement of information presentation at the report generation phase. To confirm the theory, a prototype was developed based on the stored procedures and database extensions of Microsoft SQL Server 2000.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information and Software Technology - Volume 47, Issue 5, 31 March 2005, Pages 357-364
Journal: Information and Software Technology - Volume 47, Issue 5, 31 March 2005, Pages 357-364
نویسندگان
Yauheni Veryha,