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العنوان
Mining Arabic Texts Using Soft- Matching Association Rules =
الناشر
Aya Mohammed Al Saeed AlZoghby,
المؤلف
AlZoghby, Aya Mohammed Al Saeed
هيئة الاعداد
باحث / Aya Mohammed Al Saeed AlZoghby
مشرف / Ahmed Sharaf Eldin Ahmed
مناقش / Ebada Sarhan Ahmed
مناقش / Waiel F. Abd_Elwahed
الموضوع
text mining.
تاريخ النشر
2008 .
عدد الصفحات
147 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم الحاسب الآلي
تاريخ الإجازة
1/1/2008
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - computer science
الفهرس
Only 14 pages are availabe for public view

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Abstract

Text Mining concerns the discovery of knowledge from unstructured textual data . One important task is the discovery of rules that relate specific words and phrases . Textual entries in many data base fields exhibit minor variations that may cause the production of non-reliable patterns . variations can arise from typographical errors misspellings abbreviations as well as other sources like ambiguity Ambiguity may be due to the derivative feature the fact that different words may share the same word stem- which is very common in the Arabic language .