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<rdsm_thesis>
<thesis_code>‭1000،/70،ا ف م پ</thesis_code>
<thesis_org_id>KHU</thesis_org_id>
<thesis_org_title>دانشگاه خوارزمی</thesis_org_title>
<thesis_title>Identifying and prioritizing successful e- business models in Iranian dot-coms by using machine learning techniques</thesis_title>
<thesis_title_fa>ش‍ن‍اس‍ای‍ی‌ و اول‍وی‍ت‌ ب‍ن‍دی‌ م‍دل‌ ه‍ای‌ ک‍س‍ب‌ و ک‍ار ال‍ک‍ت‍رون‍ی‍ک‍ی‌ م‍وف‍ق‌ در ای‍ران‌ ب‍ا اس‍ت‍ف‍اده‌ از ت‍ک‍ن‍ی‍ک‌ ه‍ای‌ ی‍ادگ‍ی‍ری‌ م‍اش‍ی‍ن</thesis_title_fa>
<thesis_edu_date>1396</thesis_edu_date>
<thesis_s_date></thesis_s_date>
<thesis_e_date></thesis_e_date>
<thesis_call_no></thesis_call_no>
<thesis_irandoc_call_no></thesis_irandoc_call_no>
<thesis_language>فارسی</thesis_language>
<thesis_field>م‍دی‍ری‍ت‌ ف‍ن‍اوری‌ اطلاع‍ات‌ گ‍رای‍ش‌ ک‍س‍ب‌ و ک‍ار ال‍ک‍ت‍رون‍ی‍ک‌</thesis_field>
<thesis_degree>3</thesis_degree>
<thesis_pages>119ص‌</thesis_pages>
<thesis_description></thesis_description>
<thesis_content></thesis_content>
<thesis_web_url></thesis_web_url>
<thesis_budget></thesis_budget>
<thesis_subject></thesis_subject>
<thesis_mesh>بله</thesis_mesh>
<thesis_abstract></thesis_abstract>
<thesis_abstract_fa></thesis_abstract_fa>
<thesis_keyword></thesis_keyword>
<thesis_keyword_fa></thesis_keyword_fa>
<thesis_author></thesis_author>
<thesis_ds></thesis_ds>
<thesis_da></thesis_da>
<thesis_update>1591170462</thesis_update>
</rdsm_thesis>
