Olam ( on - line analytical mining ) integrates olap with data minig , which mines knowledge in multi - dimensional databases or data cube Olam是數據挖掘( dm )與olap技術的有機結合,充分利用了二者的優(yōu)勢,克服二者的不足。
In this thesis , we propose and develop an interesting association rule mining approach , called on - line analytical mining of association rules , which integrates the recently developed olap ( on - ltne analytical processing ) technology with some efficient association mining methods it leads to lexible , multi - dimensional , multi - level association rule mining with high performance several algorithms are developed based on this approach for mining various kinds of associations in multi - dimensional databases , including mtra - dimensional association , inter - dimensional association , hybnd association , and meta - rule - guided of association 在這篇論文中,我們提出和開發(fā)了一種令人關注的關聯規(guī)則挖掘方法,即基于olap技術的關聯規(guī)則挖掘算法( on ? lineanalyticalminingofassociationrules ) ,這種算法把當前已普遍應用的olap ( on - lineanalyticalprocessing ,聯機分析處理)技術和一些有效的關聯規(guī)則挖掘算法綜合起來。
Studying the logic & the physics of the data warehouse designs , including the data model analysis , multi - dimensional database design , the data warehouse parallel processing , partition etc . on the basis of overall situation , we put forward a kind of realize method , which from the data mart to the data warehouse in tax administration system 研究了數據倉庫的邏輯設計和物理設計,包括數據模型分析、多維數據庫設計、數據倉庫的并行處理、分區(qū)等。在全局觀念的前提下,提出了一種稅務系統(tǒng)從數據集市到數據倉庫實現方法。