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دسته بندی:
داده کاوی - data mining
سال انتشار:
2018
عنوان انگلیسی مقاله:
Using big data database to construct new GFuzzy text mining and decision algorithm for targeting and classifying customers
ترجمه فارسی عنوان مقاله:
استفاده از پایگاه داده داده های بزرگ برای ساختن متن کاوی و الگوریتم تصمیم گیری GFuzzy جدید برای هدف گیری و طبقه بندی مشتریان
منبع:
Sciencedirect - Elsevier - Computers & Industrial Engineering,Corrected proof,doi:10:1016/j:cie:2018:04:003
نویسنده:
Jing-Wei Liu
چکیده انگلیسی:
After an enterprise builds a data warehouse, it can record information related to customer interactions using
structured and unstructured data. The intention is to convert these data into useful information for decision
making to ensure business continuity. Hence, this study proposes a new Chinese text classification model for the
project management office (PMO) using fuzzy semantics and text mining techniques. First, content analysis is
performed on the unstructured data to convert important textual information and compile it into a keyword
index. Next, a classification and decision algorithm for grey situations and fuzzy (GFuzzy) is used to categorize
textual data by three characteristics: maximum impact, moderate impact, and minimum impact. The purpose is
to analyze consumer behaviors for the accurate classification of customers. Lastly, a more effective marketing
strategy is formulated to target the various customer combinations, growth models, and the best mode of service.
A company database of interactions with customers is used to construct a text mining model and to analyze the
decision process of its PMO. The purpose is to test the feasibility and validity of the proposed model so that
enterprises are provided with better marketing strategies and PMO processes aimed at their customers.
Keywords: Big data warehouse ، Content analysis ، Data mining ، Fuzzy grey situation, decision-making algorithm ، Project management office ، Customer relations management
قیمت: رایگان
توضیحات اضافی:
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