association attributes 中文意思是什麼

association attributes 解釋
相關屬性
  • association : n 1 聯合；聯系；聯盟；合夥；交際，交往。2 社團，協會；學會。3 【生物學】群落，社會。4 聯想。5 【...
  • attributes : 屬性特徵
  1. Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm

    優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度
  2. Virtual reality technology can provide " participants " with a feeling of being personally on the scene. as a main actor in the virtual environment, userscan control any objects in the virtual environment arbitrarily and can get reaction in time. in the hyperspace of the information, he can get acknowledge with their own percipience and cognition, and, seek the solutin, and form the new conception. the association of the virtual reality technology and java technology intensify the interaction between the users and viryual reality technology. with the interface provided by java, the user can control any objecs and change the attributes ( such as position, angle, color and etc. ). this paper formulizes application of the virtual reality technology in the system of the building seilling which uses the real three dimensions models to replace of static picture ' s and word ' s description. in the process of the practice, the paper analyses the difference between javascript, java claa and java applet, and formulize the their applications in this system

    用戶在多維信息空間中，依靠自己的感知和認知能力全方位地獲取知識，發揮主觀能動性，尋求解答，形成新的概念。虛擬現實技術與java技術的結合增加了虛擬現實技術與用戶的交互功能，用戶可以通過java提供的界面，操縱場景中的任何物體，並改變相應的屬性（如：位置，角度，顏色等等） 。本篇論文闡述了虛擬現實技術應用在售樓系統中，用真實的三維模型來代替原有的靜態圖片及文字描述，在實踐過程中，分析了javascript ， java類，及javaapplet實現功能中的利弊，分別闡述了它們在本系統中的應用，從理論上講，本課題所研究的虛擬現實技術不只適用於售樓系統的電子商務中，同樣可用於軍事和演習、醫學、教育、娛樂和工程設計等領域。
  3. On the other hand, a set of if - then conditional rules is induced to examine the relationships among attributes values. the non - stationary model also applies to the association analysis, which means the anomaly value of an attribute a ssumes a novel value under certain conditions depends on the last occurrence of novel value of the same attribute under same conditions

    本文還採用if - then形式的規則對所考察的多個屬性進行關聯分析，並對規則運用上述動態模型，即某一條件下某屬性取得新值的異常值與相同條件下該屬性上次取得新值以來的時間長度有關。
  4. The algorithm improves the efficiency greatly by complex spatial computing and analyzing to gain the association between spatial attributes, accordingly, it avoids the complex process of gaining frequent itemsets

    這種演算法有效地利用了gis中的空間分析技術，較好地處理了空間數據間的空間關系，通過復雜的空間計算和分析求得空間屬性之間的關聯規則，大大提高了挖掘效率。
  5. In the process of data mining, there exists a sharp boundary problem if using intervals to deal with quantitative attributes, so we introduce fuzzy sets to solve this problem, and experiment results approve the feasibility of using fuzzy association rules and fuzzy frequency episodes to detect anomalies

    在數據挖掘過程中，由於利用間隔來處理數值屬性容易產生尖銳的邊界問題，我們引入模糊集的概念到數據挖掘演算法來解決這個問題，給出了具體的演算法，並通過實驗證實了利用模糊關聯規則和模糊頻繁序列檢測異常的可行性。
  6. 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。
  7. The names of the association ends are important theyre used as attributes in their own right

    關聯端的名字是很重要的，因為在它們自己的權限內，名字就作為屬性來使用。
  8. This part put forward the system conception of kdd and the apriori algorithm. then evolved the create - frequent - set algorithm which was fit for the freight agent management system. because of the shortage of efficiency, 1 improved the algorithm. because some of the items were not boolean variables, 1 need the quantitaitve attributes association rules discovering algorithm. in general, there had the levels among the items, so multilevel association rules existed. after perfecting the algorithmic need interpret and evaluate the knowledge. in the end, 1 discussed the privacy and security of kdd. the fifth part described the future problems and prospect

    第四章是論文的主體，著重介紹知識發現的全過程，按照semma方法論首先進行數據準備，然後進入數據挖掘階段，提出知識發現的概念體系和公認的apriori演算法，從該演算法演變出適合於貨代管理系統的生成頻繁項目集的演算法；因為在實際應用中存在效率上的不足，因此進一步地提出了改進方案；在事務處理中各個項目並不都是布爾型變量，因此需要特定的針對多值屬性的關聯規則發現演算法；通常情況下，項目之間存在有層次關系，因此多層次關聯規則的發現普遍存在；演算法完善並運行后需要對發現的知識進行解釋和評估；本章的最後討論了知識發現的私有性和安全性問題；第五章講述有待解決的問題和發展前景。
  9. At present, positive association rules have been widely concerned, but association rules with negative attributes or negative items are not given sufficient attentiones

    當前，正關聯規則的挖掘受到了廣泛的關注，而對于包含負屬性或負項目的關聯規則並未給予足夠的重視。
  10. However, in practical applications, considering cost in constructing the networks or management in networks, users prefer staring networks to net networks which do not meet their requirements. the dissertation proposes the c - dma algorithm to solve this problem, based on fdm and cd. experimental results show that the performance of the c - dma is available and extendable. ( 2 ) in the process of mining association rules, the quantitative attributes exit in databases

    但是，在實際的網路應用環境中，用戶基於成本和管理等方面的需要，使用的網路結構往往是星型結構的，所以cd演算法和fdm演算法在網路結構和實際的網路結構不相適應，本文在cd演算法及fdm演算法的基礎上提出以中心結點結構的分散式關聯規則挖掘演算法，並且從演算法分析和模擬試驗兩個方面證明了演算法的有效性和可擴展性。
  11. This paper presents an in - depth study of building normal behavior models. problems such as attributes selecting, event modeling and association analyzing are discussed

    本文從所考察的對象、事件的建模、關聯分析等方面對如何構建正常行為模型進行了較為深入的探討。
  12. Association rule mining is an important sub - branch of data mining, which describes the potential relationships between attributes and variables in databases

    關聯規則挖掘是數據挖掘的一個重要分支，是描述數據庫中數據項（屬性、變量）間存在的潛在關系。
分享友人
分享到 Line

分享到臉書