隨著資訊時代的來臨，網際網路用戶數的急速成長，客戶資料大量湧入的結果造成了企業回應客戶的困難；此外，入口網站的日漸普及與市場新利基的建立，使得上網者對專業化網站的需求提高；而配合新行銷時代的來臨，新科技行銷已從以往的大眾行銷走向一對一的個人化行銷。在這樣的背景與動機驅動下，近年來資料倉儲技術的興起，在這個講求競爭及速度的時代，提供了一套真正能創造企業優勢的方法，資料倉儲與客戶關係管理也逐漸成為企業發展與競爭不可或缺之工具。 　本研究乃是利用資料倉儲等相關技術，期望能達到網路市場區隔之目的，進而提供行銷相關之建議。因此，研究中定義了入口網站之會員特性分析模式，從中發掘出會員特性模式之分析結果，再配合入口網站功能階段分類表的服務內容，與研究中所訂之行銷模式，修改並制訂最後行銷策略上之參考建議。 　目前國內在資料挖掘上之相關研究，乃以金融、銀行、保險等領域的應用較多，對於入口網站此領域的應用尚無相關研究出現。另外，在網際網路發達，且入口網站百家爭鳴的背景之下，如何提高會員註冊率，與如何保留住已註冊的會員，是網站經營者所需考量的兩個重要課題。有鑑於此，本研究期望帶給網路業者一個新的思考方向與啟發，也試著將資料挖掘的技術帶入網際網路的應用領域，由網站會員特性的初步分析開始，做一簡單之示範。 / With the approach of informational era, the Internet users grow rapidly and the mass production of customers' data results in the difficulty of the response from industries to customers. Moreover, the widespread use of portal sites and the establishment of new market opportunity let the Internet users raise their demand to specialized websites. Because of the coming of new selling era, the selling of new science and technology has changed from the former mass selling to one-to one individual selling. Under the drive of this kind of background and motive, Data Mining technology rises and develops recently. In the era that emphasizes competition and speed, we provide a method that creates the superiority of industries. Data Warehouse and Customer Relationship Management (CRM) is becoming the essential tool for the development and competition of the industries. 　This research uses some technologies related to Data Warehouse in order to segment the Internet market, and provide the related selling suggestions. Therefore, the research defines the analytic model of characteristics of members of portal sites, discovers the analytic results, and then to cooperate with the services mentioned in the classified table of functions/stages of the portal site and the selling model made in the research, and then modifies and makes the final suggestions on selling tactics. At present, the internal researches about Data Mining are usually applied in the domains of finance, banking, and insurance, not in the domain of the portal sites. Besides, in the situation of prosperous Internet and competition of portal sites, how to raise the register rate of members and how to keep the registered members are the two important topics considered by website managers. Consequently, this research hopes to bring not only a new direction and inspiration to managers, but also a new applied domain, Internet, for Data Mining. This research will begin with a simple example that analyzes the characteristics of a Portal Sit's Members and the Making of Selling Tactics.