multidimensional process 中文意思是什麼

multidimensional process 解釋
多維過程
  • multidimensional : adj. 多面的；【數學】多維的。
  • process : n 1 進行，經過；過程，歷程；作用。 2 處置，方法，步驟；加工處理，工藝程序，工序；製作法。3 【攝影...
  1. So the concepts of multidimensional database and multidimensional analysis are put forward, viz. on - line analytical process, it gives analyst, manager, or executor the ability of information access which is rapid, accordant and interactive from multi point of view. the information comes from original data, and can be catch on by consumer and really reflects the character of enterprise dimension

    因此提出了多維數據庫和多維分析的概念，即聯機分析處理（ on - lineanalyticaiprocess ） ，它是使分析人員、管理人員或執行人員能夠從多種角度，對從原始數據中轉化出來的、能夠真正為用戶所理解的並真實反映企業維特性的信息進行快速、一致、交互地存取，從而獲得對數據的更深入了解的一類軟體技術。
  2. In the process of building the multidimensional data model, we made some mends on the time dimension, adapted the time model based on competition, and this model provided enough information for the later analysis based on time. and contempary, this paper used a new schema called star cluster schema as the basic structure of the multidimensional data model. the cluster schema is the joint of star schema and snowflake schema, it inherits their merits, and mends their disadvantages

    在具體的建模過程中，對時間維作了一定的修正，提出了一種基於競爭機制的時間維模型，為基於時間的分析提供了更加充分的信息；同時本文也對常用的多維數據模型的結構作了改進，採用了一種稱作為星族模式的結構，這種結構結合了星型模式和雪片模式的優點，同時又對各自的缺點進行了修正，並在實際中得到了很好的應用。
  3. Firstly, this paper improves single dimensional association rule mining algorithm aprioritidlist based on deep research on association rule mining algorithms, and advances an efficient multidimensional association rule mining algorithm aprioritidlist + that is suitable for vulnerability database of rdbms. furthermore, the algorithm is applied on vulnerability database including data preparation, implement of the algorithm and analysis of experiment results, where data preparation is mainly to select some from numerous vulnerabilities and vulnerability attributes that are suitable for association rule mining to do experiments, meanwhile do the discrete process on quantified attribute values

    本文首先在深入研究關聯規則挖掘演算法的基礎上，對其中的單維關聯規則挖掘演算法aprioritidlist進行改進，提出了一種適合關系型弱點數據庫的高效的多維關聯規則挖掘演算法aprioritidlist + ;並且將該演算法應用到弱點數據庫中，包括數據準備、演算法實現和實驗結果的分析，其中數據準備主要是對數量龐大的弱點信息和弱點屬性進行挑選，取出一部分適合於關聯規則挖掘的弱點信息來進行實驗，同時也對量化屬性值進行了離散化處理。
  4. The study on the key factors of entrepreneurial success summed up three key factors : the core technology, team structure and the strategic positioning ; based on the analysis of critical incident, the paper put forward four aspects of performance appraisal criteria : the financial, customer, internal business operations and employees, and further analyzed the intrinsic logic of multidimensional performance indicators " employees ' satisfaction internal process improving - customer satisfaction financial performance "

    摘要對五家典型創業型企業的創業者（或總經理）訪談案例的分析表明：關于創業成功，可有核心技術、團隊結構和戰略定位三大關鍵因素；通過對關鍵事件的分析，可有財務、顧客、內部經營和員工四個層面的創業績效評價指標。
  5. We know that political change is a complex and multidimensional process

    我們深知政治變革是復雜的、多方位過程。
  6. During the process of setting up the data warehouse, it merges the thoughts of two kinds of design methods ‘ from bottom to top ’ and ‘ from top to bottom ’, develops and analyzes the topics with the multidimensional model, guarantees to implement quickly and obtains investment repayment rapidly. then, on the basis of making actual effect, it increases the application topics gradually, advances step by step, accumulates experience, therefore it will build up an enterprise layer data warehouse progressively

    在建立數據倉庫的過程中，融合了自下而上和自上而下兩種設計方法的思想，以多維模型開發分析主題，確保快速實施，迅速獲得投資回報，在取得實際效果的基礎上，再逐漸增加應用主題，循序漸進，積累經驗，由此逐步建成企業級數據倉庫。
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