Olam ( on - line analytical mining ) integrates olap with data minig , which mines knowledge in multi - dimensional databases or data cube Olam是數(shù)據(jù)挖掘( dm )與olap技術(shù)的有機(jī)結(jié)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(guān)注的關(guān)聯(lián)規(guī)則挖掘方法,即基于olap技術(shù)的關(guān)聯(lián)規(guī)則挖掘算法( on ? lineanalyticalminingofassociationrules ) ,這種算法把當(dāng)前已普遍應(yīng)用的olap ( on - lineanalyticalprocessing ,聯(lián)機(jī)分析處理)技術(shù)和一些有效的關(guān)聯(lián)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(shù)據(jù)倉庫的邏輯設(shè)計(jì)和物理設(shè)計(jì),包括數(shù)據(jù)模型分析、多維數(shù)據(jù)庫設(shè)計(jì)、數(shù)據(jù)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(wù)系統(tǒng)從數(shù)據(jù)集市到數(shù)據(jù)倉庫實(shí)現(xiàn)方法。