classification rules 中文意思是什麼
classification rules
解釋
入級規范- classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
- rules : 安全法規
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Classification model is based on typical rough set theory and entropy theory, select the attribute according to entropy theory, determine the equivalence classes according to indiscernible relation, then extract the classification rules
分類模型是以經典的粗糙集合理論和信息熵理論為基礎，依據信息熵理論對屬性進行篩選，依據不可區分關系確定等價類，從而提取決策規則。 -
Mining classification rules is a procedure to construct a classifier through studying the training dataset. it is a very important part of data mining and knowledge discovery
分類規則挖掘則是通過對訓練樣本數據集的學習構造分類規則的過程，是數據挖掘、知識發現的一個重要方面。 -
A double - bagging machine - learning algorithm was used to train classification rules on the basis of a combination of fdt scores and nerve fiber related visual field losses in swap
在聯合fdt評分和swap神經纖維相關的視野缺損基礎上用雙相機器學習系統排列分類法則。 -
Attributes reduct, mining classification rules, and discretizing values of quantitative attributes are three fields in mining classification rules
屬性約簡、分類規則提取、數量屬性離散化是分類規則挖掘的三個方面。 -
( 2 ) the algorithm of mining classification rules based on discernibility function, which can induct simple, general, and understandable rules
（ 2 ）提出了基於可辨識函數的分類規則提取演算法。該演算法能挖掘出簡單、通用、易理解的決策規則。 -
Using the statistic characterization of data, the relevant knowledge reduction algorithm is put forward by combining the probability with classification rules ; using the characterization of fuzzy attributes, the decision system with subjection degree attribute is built by combing the rough set theory and fuzzy set theory, and the idea of distinguish matrix is induced to the concealed decision system to reduce data
利用數據的統計特徵，將概率測度與分類規則結合起來，提出了相應的知識西北工業大學博士學位論文約減演算法;利用模糊屬性集合的特點，把粗糙集合與模糊集合有機結合起來，將粗糙集中分辨矩陣的思想引入到具有隸屬度屬性的隱式決策系統中進行數據約減。 -
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。 -
In inconsistent decision system two improved algorithms namely decision conception conclusion and rough repetition groups are put forward to mine the classification rules with certainty reliability
在不相容決策系統中提出了兩種改進演算法即決策概念包含法和粗糙重復組法對不相容的決策系統挖掘出具有一定可信度的分類規則。 2 -
Similarity - based crossover - mutation operator and its application to mining classification rules
基於相似度的交叉變異運算元及其在分類規則挖掘中的應用 -
In order to unify stored data - mining results in pattern warehouse, the author probes intensively into the storage methods of data - mining results ( association rules, classification rules, sequential patterns ). it proposes the storage methods to use the relational algebra to describe. this realizes consistent storage of data - mining results in relational database
為使數據挖掘結果能統一存儲在模式庫中，作者對關聯規則、分類規則和序列模式挖掘結果的存儲方法進行了深入的研究，提出了數據挖掘結果模式的存儲方法，並用關系代數進行了描述，在關系數據庫中實現了多種數據挖掘結果模式的統一存儲。 -
Mining classification rules based on the distributed concept lattice
基於分散式概念格的分類規則挖掘 -
Researches on discovery of classification rules based on decision tree
利用決策樹發掘分類規則的演算法研究 -
Our research is about the classification problems on data with and without class labels attribute o classification with class label is mainly focus on dealing with noise, reconstruction of concept lattice, simplification of classification rules and a classification algorithm on class labeled data has been implemented
有類別屬性的分類的研究的重點討論數據噪聲的處理、概念格的重構、分類規則的簡化問題，並對其中的有確定類別屬性的相關演算法進行實現。 -
On the base of extend rough set theory, this paper put forward the improved data mining algorithm with priority attributes based on the priority relation. therefore, the classification precision of basic rough set and rough set with priority attributes reached unification and the classification rules by this model in the section are more curtail and rational. 4
論文在粗糙集拓廣理論的基礎上，利用屬性的有序特性即優先二元關系，提出有序屬性的數據挖掘改進演算法，使基本粗糙集和帶有準則的粗糙集在挖掘分類精度上達到統一，且挖掘出的規則簡練、更具合理性和綜合性。 -
On the basis of studying spatial data mining method, a spatial data mining system is designed and realized, which can obtain spatial association rules and spatial classification rules from gis database. the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately
在研究空間數據挖掘方法的基礎上設計並實現了一個用於從gis數據庫中挖掘空間關聯規則和進行空間數據分類的空間數據挖掘系統，該系統可分為兩個模塊，分別進行空間關聯規則挖掘和空間數據分類。 -
One of the important fields in data mining is the mining for classification rules, in which one can get the knowledge to predicate the future or unknown objects according to the analysis of the sample data
分類規則挖掘是數據挖掘的一個重要研究領域。在分類規則挖掘中人們通過對歷史或已知數據的分析，獲得對未來或未知情況判斷和預測的依據。 -
The main research work is to make use of concept lattice structure to solve the problem of mining association rules, classification rules, and functional dependencies from data
研究工作的重點是使用概念格結構模型對關聯規則、分類規則和函數依賴的發現問題進行求解。 -
The inference result is then adopted as partial input of a fuzzy neural network for making final classification. such a scheme can reduce the efforts in deciding classification rules for web documents, which is fully dependent on manual work. an adaptive user profile is used to provide personalized service
在本文提出的結構中，文檔分類系統首先利用自動構造完成的本體論進行模糊推理，然後利用推理結果做為模糊神經網路的輸入，這種方法能夠減輕人工決定web文檔分類規則的工作量（目前都是由人來決定全部分類規則） ；利用自適應用戶配置文件提供個性化服務。 -
Extent and location of x - ray photographs inspection to be in accordance with the classification rules
外部的和特定區域的x光照片檢驗應依照船級社的規則。 -
A model of association based self - adaptive mining classification rules
基於關聯的自適應分類規則發現模型
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