模糊邏輯與資料探勘技術為基礎在顧客關係管理上之研究與應用

NHUIR > College of Science and Technology > Department of Information Management > Disserations and Theses > Item 987654321/21690

Please use this identifier to cite or link to this item: http://nhuir.nhu.edu.tw/handle/987654321/21690

Title:	模糊邏輯與資料探勘技術為基礎在顧客關係管理上之研究與應用
Other Titles:	Using Fuzzy Logic and Data Mining for Customer Relationship Management
Authors:	蘇建源 Su, Chien-Yuan
Contributors:	資訊管理學研究所邱宏彬 Hung-Pin Chiu
Keywords:	資料方塊;單層次關聯法則;顧客關係管理;關聯法則;漸進式挖掘;多階層關聯法則;資料探勘;模糊切割;線上挖掘 Data Cube;Association Rules;Incremental Mining;Data Mining;Fuzzy Partition;On-Line Mining
Date:	2004
Issue Date:	2015-06-17 15:50:16 (UTC+8)
Abstract:	在現今競爭激烈與變化快速的環境下，瞭解與滿足顧客的需求是企業獲利的關鍵因素。因此，顧客關係管理就成為當今企業非常重視的議題。利用資料探勘技術可以幫助企業從龐大且複雜的顧客資料庫中找出隱含的資訊，其中又以關聯法則挖掘法最為著名。如何有效地推導出關聯法則，在過去已經有許多方法相繼被提出，但大部分的演算法對於(a)數值型資料的處理、(b)漸進式挖掘以及(c)線上挖掘等問題無法有效地同時加以處理。因此本研究提出以模糊切割與資料方塊為基礎之關聯法則演算法來建構單層次以及多階層等關聯法則演算法。並應用於顧客關係管理上的探討，來幫助企業在制定客製化行銷策略的決策上的一個有力的參考依據。　　In the era of great competition, understanding and satisfying customers’ requirements are the critical tasks for a company to make a profit such that customer relationship management becomes the important business issue at present. With the help of the data mining techniques, the manager can explore and analyze from a great quantity of data to discover meaningful patterns and rules. Mining association rules from transaction databases is most commonly seen in data mining. However, most conventional algorithms can not simultaneously and effectively satisfy the following requirements: (a) the relationships among transactions with numeric values, (b) incremental mining, and (c) on-line mining. In this thesis, we integrate the data cube and fuzzy partition techniques to propose a single-level association rule miner and a multi-level association rule miner. This mined knowledge can be applied in customer relationship management to help decision marker make correct business decisions for marketing strategies.
Appears in Collections:	[Department of Information Management] Disserations and Theses

Files in This Item:

File	Description	Size	Format
092NHU05396010-001.pdf		1710Kb	Adobe PDF	369	View/Open
index.html		0Kb	HTML	211	View/Open

Loading...