concept discovery 中文意思是什麼
concept discovery
解釋
概念發現-
Concept lattice ( galois lattice ) is a formalized tool for concept discovery from data, and has been widely used in many scientific applications
概念格模型作為一種用於數據分析的形式化的工具，已經在眾多的領域中獲得了廣泛的應用。 -
A new concept of efficient support is proposed and its two liminal theorems are given and proved. the amelioration algorithm of fuzzy association rules discovery is raised based on efficient support. the uncertainty of the sepm process is noticed
提出了模糊模式有效支持度的概念，對其閾值的選取給出了有關的定理；基於有效支持度對模糊關聯規則挖掘演算法進行了改進；研究了sepm中的不確定性，提出了模糊狀態演化模式挖掘（ fsepm ） ，並對實現過程進行了詳細研究，接下來引入有效支持度的概念對fsepm進行了優化。 -
This strategy of " whiggish " " justification afterwards " fell under many animadversions, however it was thomas kuhn who really aroused the crisis of rationality of science. in his epoch - making the structure of scientific r evolutions, kuhn develops his view around " paradigm ", and introduces the relativity of history and concept into the understanding of science, thereby breaks the separated state of " discovery " and " justification "
這種「輝格式」的「事後辯護」的策略受到了眾多批判，但是真正引發科學合理性危機的是哲學家托馬斯?庫恩，他在那本劃時代著作《科學革命的結構》中，以範式為中心展開其觀點，將歷史和概念的相對性引入了對科學的理解，從而打破了「發現」與「辯護」的分離狀態。 -
The paper states the concept and theoretical basis of the data mining and knowledge discovery ( dmkd ) theory. it also deeply studies dmkd model that is appropriate to present chinese enterprise via the analysis of present popular dmkd models
本文闡述了數據挖掘與知識發現（ dmkd ）的定義及所涉及到的基礎理論知識，對當前比較成功的數據挖掘模型進行了分析對比，探討了適合我國企業現狀的數據挖掘模型。 -
This paper mainly focuses on knowledge discovery based on concept lattice, and extended concept lattice model
本文主要對基於概念格模型的知識發現進行研究，並對經典概念格模型進行了擴展。 -
We have done some study in concept lattice and its application, but knowledge discovery is in a booming stage and there are many problems worth studying on the application of concept lattice theory in this field
本文對概念格本身及其應用進行了一些研究，但是，知識發現正處于發展階段，概念格理論在知識發現中的應用還有許多問題值得研究。 -
The process of scientific discovery is to use some scientific concept to give the empirical fact meaning and make it become the scientific fact
摘要科學發現的過程是以一定的概念框架為基礎，賦予經驗事實以存在意義，並將其上升為科學事實的過程。 -
At the aspect of preprocess, some preprocess methods are studied and improved, including rough set, data clustering, concept hierarchies and language field, etc. at the aspect of mining algorithms, classification is an important knowledge discovery method
在數據的預處理方面，主要研究粗集理論、數據聚類、概念樹、語言場等預處理方法。在挖掘模型與演算法的選取中，分類是一種重要的知識發現方法，它能以簡潔的模型預測新到達對象的類別。 -
The design of discovery park is based on a " shopping park " concept
商場以購物公園的概念建成。 -
Research on application of fuzzy concept lattice in knowledge discovery
模糊概念格在知識發現中的應用研究 -
Service discovery is a very broad concept, which means that it is unlikely to have one solution that addresses all of its requirements
服務發現是一個非常廣泛的概念，這意味著它不可能有可解決所有需求的解決方案。 -
There are eight chapters in this paper. chapter 1 : the concept of and development in knowledge discovery and data mining, the process of knowledge discovery, the classification of data. mining, the study background and significance of the task, the main contents of this paper are introduced in this chapter
論文共有八章：第1章：簡略介紹了知識發現和數據挖掘的概念與發展現狀、知識發現的過程與數據挖掘的分類、本課題的研究背景和意義以及論文的主要研究內容。 -
Three primary models of senior mathematic class - inquiring teaching will be represent at the thesis. they are followed as : formation model for mathematical concept, discovery model for mathematical proposition and solution model for mathematical problems
論文著力討論了「數學概念形成模式」 、 「數學命題發現模式」和「數學問題解決模式」三種類型的數學課堂探究教學的基本模式。 -
2 ) in this paper, we present a novel qrrecl model. because it denotes the extension and intension of concept in the compact form and shows the relations among the concepts more clearly, it is a more efficient tool for knowledge discovery especially in large databases
2 ）提出了量化相對約簡格模型，它以最簡形式表示概念的內涵和外延，更清晰地反映了概念之間的依賴關系，有利於更有效地從大規模數據庫中進行知識的發現。
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