Text mining : A method to understand consumer perceived value / Mariam Mohamed Ismail Mohamed ; Supervised Ahmed Elragal
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TextLanguage: English Publication details: Cairo : Mariam Mohamed Ismail Mohamed , 2017Description: 58 Leaves : charts ; 30cmDissertation note: Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Business Informations Summary: Enormous amounts of data - called big data- is being generated in our world, making everyone excited about exploiting the benefits of such data by using data mining techniques. It was estimated that 80% of data is stored in unstructured format for e.g., text, video, & audio and much and much of it is expressed in natural language, such as posts, teweet and comments
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Thesis
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2017.Ma.T (Browse shelf(Opens below)) | Not for loan | 01010110075369000 |
Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Business Informations
Enormous amounts of data - called big data- is being generated in our world, making everyone excited about exploiting the benefits of such data by using data mining techniques. It was estimated that 80% of data is stored in unstructured format for e.g., text, video, & audio and much and much of it is expressed in natural language, such as posts, teweet and comments
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