categorical data 中文意思是什麼

categorical data 解釋
非數值數據
  • categorical : adj. 1. 【哲學】范疇的。2. 絕對的，無條件的。3. 明確的；直言的，斷言的。adv. -ly
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  1. Basic to any analysis of categorical data is a consideration of how the data was collected.

    任何范疇數據分析的基礎在於考慮數據是怎樣收集的。
  2. Categorical data in its broadest sense is simply a collection of values of discrete variable obtained from a sample of individuals of objects.

    范疇數據在廣義上就是一批得自於個體或對像樣本的離散變量值。
  3. Rule - based outlier mining approach in categorical data

    基於規則的分類數據離群挖掘方法研究
  4. The discussion of main parallel technologies on construction of parallel sliq algorithm is presented in this paper. the computing result of algorithm complexity of sequential and parallel algorithm indicates : when the data set is large enough, as to continuous attributes, the parallel algorithm almost get speedup value equal to the number of processors ， while as to categorical attribute the improvement of parallel algorithm is limited

    通過對串列和并行演算法時間復雜度的計算表明，當數據集充分大時，由於連續屬性的排序計算操作分散到各個處理機單元上進行，顯著降低了計算時間，從而可以得到近似於處理機個數的加速比，對于離散屬性，本并行演算法對串列演算法的性能提高有限
  5. Subsequently, clustering analysis in data mining is disserted, involving the methods and characteristics of clustering used in data mining and the methods for evaluating the clustering results, with emphasis on clustering the data with categorical attributes. k - modes clustering algorithm and its variations are introduced with their advantages and disadvantages

    在此基礎上對數挖掘中的聚類分析作以詳細地論述，總結了數挖掘中聚類分析的方法和特點，並對聚類結果的評價方法進行了討論，重點討論了分類屬性數據聚類，具體研究了k - modes演算法及其變形，並指出了它們的優缺點。
  6. According to the processing subject and processing mode, this method classifies data processing in three different levels : quantitative ( numerical ) summarization, qualitative ( categorical ) summarization, and quantifier summarization

    該方法按照數據加工對象和加工方法的不同，將數據加工分為三個層次:概括層、品質層和程度層。
  7. Analysis of categorical data and its application in clinical trial

    分類數據的重復測量及其在臨床試驗中的應用
  8. This paper propose a refined self - organizing map that can directly handle categorical data or hybrid data, map the data to lower dimensions, and also uncover the similarity among data

    本研究針對此問題，提出改良式自組映射圖，能直接處理種類型態或混合型態的資料，同時在投射后的低維度空間，反映高維度資料之間的相似度。
  9. However, conventional soms handle only numerical data, categorical data has to be converted to boolean data resulting in unable to disclosure the similarity among the high - dimensional data

    然而，傳統自組映射圖只能處理數值型資料，種類型資料必須透過編碼轉換成一群二元數值型態資料，因而無法反映種類型資料值之間的相似程度。
  10. Give the data structure of spatial data and categorical data, on which introduced object organizing and managing theory in oodb and template technology including data template and method template, mode oo data access model and spatial query and spatial analysis model

    摘要給出了空間數據和屬性數據的數據結構，在此基礎上採用面向對象數據庫（ oodb ）技術中的對象組織和管理思想，採用數據模板和方法模板技術建立面向對象的數據訪問模型，並在此基礎上建立了一種面向對象的空間查詢和空間分析模型。
  11. Followed by the rapid extension of data size, the usage of parallel technology is a very important method to improve the efficiency of data ming. sliq uses novel pre - sorting and breadth - first techniques to build a decision tree fast and accurately on a large data set, and can deal both categorical and numeric attributes. but the primary algorithm contains the abundant computing on attribute and record

    本文首先分析了串列sliq演算法的原理和特點，針對其不足提出了一些改進方法，然後在基於pvm的環境下實現了演算法的并行化，分析了演算法的時間復雜度和加速比，提高了sliq演算法的效率，具有一定的理論意義和實用價值。
  12. We make a brief summary about the clustering algorithms of data mining, and make an detail study about the clustering algorithms for high - dimension and complex data. secondly, a new algorithm based on the idea of coverage density is proposed for clustering categorical data

    本文首先介紹了數據挖掘研究的相關背景，對數據挖掘中的聚類分析的相關工作作了一個簡要的概述，並對處理高維數據的聚類演算法進行了較為深入的分析研究。
  13. Forestry department obtain basic data and form map in counties mostly through the second class investigation of forest resource, but the updating and utilizing of the data is still rest on the phase of conventional handcraft, especially on the drawing of the forest mapping ; moreover, the categorical data and the spacial data is detached each other

    我國大部分縣級林業部門在利用森林資源二類調查成果獲取基礎數據和形成圖面資料后，對數據的更新和利用很大程度上仍然停留在傳統的手工處理的階段，尤其是在林業專題圖的繪制方而。
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