attribute association 中文意思是什麼

attribute association 解釋
屬性關聯
  • attribute : vt. 1. 把（某事）歸因於…。2. 認為…系某人所為。n. 1. 屬性，特質。2. （人物、官職等的）標志，表徵。3. 【語法】屬性形容詞。
  • 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 【...
  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. 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。
  3. Compared with msjpda, amsjpda demands less time and has similar correct association rate. all suggest that amsjpda is suitable for the real - time fusion system in complex environment in clutter. attribute - track correlation is also an important part in data fusion system

    近似聯合概率法解決了在實際工程中目標批次增加時關聯正確率和時間消耗間的矛盾，適用於大容量且實時性要求高的融合系統。
  4. The main content of this paper includes the following aspects : on the basis of discussing the necessity of implementing crm in china ' s air cargo industry, this paper firstly designs and builds the air cargo analytical crm data warehouse and realizes olap analysis on it. then, this paper segments the air cargo customers and derives the formulas of calculating customer life cycle value ( clv ). finally, this paper analyzes air cargo customer group characteristics and customers " service demand by using data mining algorithms of attribute - oriented induction and association rule

    本文主要做了以下幾方面的研究工作：一是討論了航空貨運未來的發展與客戶關系管理的關系；二是設計並構建了航空貨運分析型crm數據倉庫，並在其上實現了多維分析；三是進行了航空貨運客戶細分並推導了計算航空貨運客戶生命周期價值的公式；四是應用了面向屬性的歸納和關聯規則等數據挖掘演算法進行了航空貨運客戶群特徵分析和貨主服務需求分析。
  5. All the parameters are synthesized into a synthetic function, which is the core of the mfsda. if the value of the synthetic function is under the validation gate, the correlation comes into existence. use mfsda the correct association rate is high and mfsda also provides a new idea in colligation of azimuth and attribute parameters

    它利用無源傳感器探測的高精度的屬性信息，將其與方位角一起作為關聯的依據，並充分利用歷史推理結果，將識別推理與屬性關聯有效的結合，提高了屬性關聯的正確率，也為屬性信息與方位信息的結合應用提出了一條好的思路。
  6. In this paper, we firstly present the whole framework of the system, including the introduction of the main functional module. next, in the part of data preprocessing, we design a method of collecting click - stream data in the application server layer and preprocessing them with real time ; in the part of data mining that is data analyzing, we research and implement an extended attribute - oriented induction algorithm which applies to data generalization analysis, and that, we also design and implement an hybrid - dimensional association rule mining algorithm for associative analysis. in the end, on the e - business web site system of jiangsu changjiang electronic group corp, we design and implement an intelligent dss ( idss ) with the help of the above algorithms

    論文首先給出了系統的整體框架體系結構設計，以及主要的功能模塊介紹；接著，在數據預處理部分，設計了在應用層收集點擊流數據並且對其進行實時預處理的方法；在數據挖掘即數據分析部分，研究與實現了用於數據概化分析的面向屬性規約的擴展演算法，以及設計並實現了用於關連分析的混合維關聯規則挖掘演算法；最後，在江蘇長江電氣集團的電子商務網站系統上，利用已分析的演算法設計並實現了一個智能決策支持系統。
  7. 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。
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