查詢結果分析
相關文獻
- Incremental Maintenance of Object-Oriented Views
- Three Incremental Maintenance Algorithms on Object-Oriented Data Warehousing
- 物件導向資料倉儲中SPJ視域與聚合視域之漸進式維護
- 在物件導向資料倉儲中延遲維護視域之方法
- 架構資料倉儲的注意事項
- 將資料變聰明--建構商業智慧環境
- 資料處理技術應用新風雲--資料倉儲(Data Warehousing)與資料採擷(Data Mining)
- 物件導向式地籍圖形資料庫系統的分析與設計
- 資料倉儲挖掘商業契機
- OODBMS與RDBMS在資料模式與查詢語言差異性之研究
頁籤選單縮合
題名 | Incremental Maintenance of Object-Oriented Views=物件導向視界之漸進式維護 |
---|---|
作 者 | 趙景明; | 書刊名 | 東吳經濟商學學報 |
卷期 | 41 2003.06[民92.06] |
頁次 | 頁75-104 |
分類號 | 312.49 |
關鍵詞 | 資料倉儲; 實體視界; 漸進式維護; 物件導向資料庫; Data warehousing; Materialized views; Incremental maintenance; Object-oriented database; |
語文 | 英文(English) |
中文摘要 | 由於資料倉儲技術之興起,實體視界之漸進式維護問題再度獲得相當多的重視。到目前為止,絕大多數關於這個問題的研究都侷限於關聯式資料庫的環境。這篇論文提出一個方法來解決在物件導向資料庫中實體視界之漸進式維護問題,其中特別要解決兩個主要的問題。第一個問題是判定視界之潛在異動,本文區別六種潛在異動,並且提出一個演算法來依據視界的定義找出其潛在異動。第二個問題是針對視界之潛在異動來維護視界,本文提出漸進式維護演算法來維護視界。作者已程建置一個物件導向視界漸進式維護雛型系統,並且已經做了初步的績效評估,評估結果顯示本文所提出的方法是正確且有效率的。 |
英文摘要 | The problem of incremental maintenance of materialized views has regained much attention due to the advent of data warehousing technology. So far, most of the work on this problem has been confined to relational settings. This paper proposes an approach to incremental maintenance of materialized views in object-oriented databases. In particular, two primary issues are addressed. The first issue is to determine the potential updates to a view. This paper distinguishes six categories of potential updates and proposes an algorithm to find the potential updates of a view from the definition of the view. The second issue is to maintain a view in response to the potential updates to the view. This paper proposes incremental maintenance algorithms to compute and apply the change to a view in response to the potential updates to the view. A prototype system for incremental maintenance of object-oriented views has been implemented and a preliminary performance evaluation has been conducted. The result shows that the approach proposed in this paper is correct and efficient. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。