應用資料採礦於智慧型統計資料庫系統

在資訊產業的進步之下，企業逐漸意識到建置資料庫的重要性，但是企業資料庫依然存在資料量訊息短少與品質欠佳的問題，資料採礦的發展即可協助企業所面臨的窘境。面對資料訊息短缺須藉由執行調查獲得資料，但是考量成本與效率之後，執行調查僅能以部份取樣進行。本研究設計「智慧型統計資料庫系統」即為解決企業所面臨問題，此系統基礎為函數映射理念，並藉由資料採礦技術推估預測資料短缺問題。本研究以情境分析法說明「智慧型統計資料庫系統」的可行性，首先將企業資料庫視為統計資料庫且具有資料短缺問題，故企業須藉由調查獲得資料。調查得執行以全國意向顧問公司的行動調查系統為調查工具，其突破傳統調查上的限制與具有機動性的優勢，在調查品質上有一定水準。「智慧型統計資料庫系統」正是將企業統計資料庫與行動調查系統透過資料採礦技術整合，企業資訊缺失問題透過行動調查系統不斷將所得訊息傳回資料庫，藉由不斷地循環方式豐富企業統計資料庫，其附加價值不斷擴增，統計資料庫逐漸形成智慧型系統，即稱為「智慧型統計資料庫系統」。

關鍵字

統計資料庫；情境分析；行動調查系統；資料採礦；智慧型統計資料庫系統

並列摘要

With the development of information industry, the enterprises are realizing the importance of constructing database. However, the enterprises still face questions that are lack of messages and bad quality in database, with the development of Data Mining technology can assist the enterprises. The problems must to execute surveys can settled. After duing to expense considerations, the surveys are imposed upon sub-samples of existing customers. Intelligent Statistiacal Information Database System is settling the enterprises' questions, it based on functional mapping theory, and with Data Mining technology settling the problems. The purpose of this research is explained the feasibility study of Intelligent Statistiacal Information Database System. To begin with, the enterprises take their database into statistical database, that with lack of messages problems. Therefore, the enterprises must to execute surveys obtain information. The survey tool is belonged to Trendgo, it named Mobile Survey System. It bettered the disadvantages than past, and matained surveyed qualities. Intelligent Statistiacal Information Database System is through Data Mining technology integrating statistical database and Mobile Survey System. The result of surveys used unceasing way to enrich statistical database, then statistical database grown into intelligent system gradually. It named Intelligent Statistiacal Information Database System.