attribute accuracy 中文意思是什麼
attribute accuracy
解釋
屬性精度-
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 -
By adding weight define with nominal and string attributes and adding range restriction of attribute ' s value, wmdc extended applicability of mdc ( minimum distance classifier ) using normalized euclidian distance and improved its classification accuracy
該分類器通過對標稱型和字元串型屬性的距離的加權定義，以及增加屬性值的范圍約束，擴大了最小標準化歐式距離分類器的適用范圍，同時提高了其分類準確率。 -
Besides, relativity analyses is introduced in the process of data pretreatment in this thesis, thereby canceled the disrelated attribute of data mining assignment, reduced lots of data sets and improves the accuracy and efficiency of rules mined
將相關性分析引入數據預處理過程，從而去除與挖掘任務不相關的屬性，減少了數據集，提高了挖掘規則精度。 -
Furthermore, in order to assure that the acquired classification rules to be accuracy as well as comprehensible, we put forward a method to compute the comprehensibility of the classification rule using attribute information gain, different to the other methods which evaluate the comprehensibility of the rule only by its simplicity. thus the output of the mining is more understandable and informational. we also do it using a niche - based ga
在此基礎上，為了從現有數據中挖掘易於理解的分類規則，本文提出了一種應用屬性信息增益計算分類規則可理解性程度的方法，改進了以往方法中僅依靠規則的簡單度來評價分類規則易於理解性的缺點，從而使得到的分類規則包含有更多的分類信息，更加有助於用戶的理解。 -
And in order to improve accuracy, proposed novel sketch - partitioned techniques that intelligently partitioned the domain of the underlying attribute ( s )
利用隨機技術，在數據流過時實時計算數據的草圖概要；同時採用了新穎的草圖分割技術，有效地提高近似應答的精度。 -
In this paper, the theories and techniques of data quality control are thoroughly studied by taking pudong construction and management geographic information system ( js - gis ), including error analysis and accuracy evaluation of digitized data, sample tests of housing surveying product, the principle and method of disfigurement measurement of attribute data based on sampling theories, and total quality control techniques of gis data. these methods are implemented in the construction of js - gis. the main contents are as follow : 1
本論文以浦東建設管理地理信息系統（ js _ gis ）為例對gis數據質量控制的一些具體內容進行了研究，包括數字化數據誤差分析以及精度評定、房產測量成果的抽樣檢驗、屬性數據缺陷率度量的抽樣原理和方法、 gis數據的全面質量控制方法，並將這些方法應用於js _ gis中，主要內容有： 1 、介紹js _ gis的系統組成，對js _ gis中數據的主要構成以及數據採集進行分析。 -
Then one against one classification is performed with svms. so the muti - class problem can be solved, the accuracy of classification guaranteed, and the reduction of the data carried out. in particular, the approach to classification based on the equivalence classes of the main attribute is explicit conceptually, easy to understand and implement. furthermore, the reduction of the sample size is distinct
這樣，既解決了多值分類問題，提高了分類精度，又實現了數據壓縮。其中利用主屬性中不可分辨關系（或相近關系）預分類的方法，概念清晰，易於理解、操作，數據壓縮量大。
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