Mining airline data for CRM strategies. (c2006)
Includes bibliographical references (leaves 114-115).
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | masterThesis |
| منشور في: |
2006
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/794 https://doi.org/10.26756/th.2006.37 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513454916763648 |
|---|---|
| author | Maalouf, Lena |
| author_facet | Maalouf, Lena |
| author_role | author |
| dc.creator.none.fl_str_mv | Maalouf, Lena |
| dc.date.none.fl_str_mv | 2006 2006-06-27 2011-10-17T09:18:27Z 2011-10-17T09:18:27Z 2011-10-17 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/794 https://doi.org/10.26756/th.2006.37 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Lebanese American University |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Data mining Airlines Consumer behavior Customer relations -- Management -- Data processing |
| dc.title.none.fl_str_mv | Mining airline data for CRM strategies. (c2006) |
| dc.type.none.fl_str_mv | Thesis info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| description | Includes bibliographical references (leaves 114-115). |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | LAURepo_3b04df852785bd5e8e718bc8d6525248 |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/794 |
| publishDate | 2006 |
| publisher.none.fl_str_mv | Lebanese American University |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Mining airline data for CRM strategies. (c2006)Maalouf, LenaData miningAirlinesConsumer behaviorCustomer relations -- Management -- Data processingIncludes bibliographical references (leaves 114-115).In today's competitive climate, Customer Relationship Management (CRM) has become an essential component in the airline business strategies. Building CRM in the airline industry requires a comprehensive view of customer behavior. This view has to be based on analyzing customer data in order to understand customer preferences and learn from his/her behavior. In this thesis, we apply data mining techniques to real airline frequent flyer data in order to derive CRM recommendations, and strategies. Clustering techniques group customers by services, mileage, and membership. Association rules techniques locate associations between the services that were purchased. Our results show the different categories of customer members in the frequent flyer program. For each group of these customers, we can analyze customer behavior and detennine relevant business strategies. Knowing the preferences and buying behaviors of our customers allow our marketing specialist to improve campaign strategy, increase response and manage campaign costs by using targeting procedures, and facilitate cross-selling, and up-selling. Furthermore, we explore the characteristics of data mining algorithms for this application and uncover relative merits of the algorithm employed.1 bound copy: xvi, 119 leaves; ill.; 30 cm. available at RNL.Lebanese American University2011-10-17T09:18:27Z2011-10-17T09:18:27Z20062011-10-172006-06-27Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/794https://doi.org/10.26756/th.2006.37eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/7942020-05-18T14:53:46Z |
| spellingShingle | Mining airline data for CRM strategies. (c2006) Maalouf, Lena Data mining Airlines Consumer behavior Customer relations -- Management -- Data processing |
| status_str | publishedVersion |
| title | Mining airline data for CRM strategies. (c2006) |
| title_full | Mining airline data for CRM strategies. (c2006) |
| title_fullStr | Mining airline data for CRM strategies. (c2006) |
| title_full_unstemmed | Mining airline data for CRM strategies. (c2006) |
| title_short | Mining airline data for CRM strategies. (c2006) |
| title_sort | Mining airline data for CRM strategies. (c2006) |
| topic | Data mining Airlines Consumer behavior Customer relations -- Management -- Data processing |
| url | http://hdl.handle.net/10725/794 https://doi.org/10.26756/th.2006.37 |