面向對象概念格的壓縮[原創(chuàng)論文].doc
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面向對象概念格的壓縮[原創(chuàng)論文],面向對象概念格的壓縮14600字自己原創(chuàng)的畢業(yè)論文，已經通過校內系統檢測，重復率低，僅在本站獨家出售，大家放心下載使用摘要：概念格理論是知識處理與分析的一種有力工具，在知識發(fā)現和數據挖掘等眾多領域有著重要的應用。引入了概念相似度新的計算方法，由對象和屬性共同確定概念之間的相似程度，進而產生概念鄰域，并根據概念間相似程度...
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面向對象概念格的壓縮
14600字
自己原創(chuàng)的畢業(yè)論文，已經通過校內系統檢測，重復率低，僅在本站獨家出售，大家放心下載使用
摘 要 ：概念格理論是知識處理與分析的一種有力工具，在知識發(fā)現和數據挖掘等眾多領域有著重要的應用。引入了概念相似度新的計算方法，由對象和屬性共同確定概念之間的相似程度，進而產生概念鄰域，并根據概念間相似程度來控制概念鄰域的大小，刪除不必要的節(jié)點，從而控制面向對象概念格中節(jié)點的個數，實現面向對象概念格的壓縮和知識庫簡化。示例表明，當參數的值較小時，壓縮效果明顯。
關鍵詞：形式背景；概念格；面向對象概念格；相似度；鄰居域
Abstract：Concept lattice theory is a powerful tool for processing and analysis of knowledge, knowledge discovery and datamining, and other important applications. A new method of similarity calculation of concepts is introduced. Objects and properties are both used to determine the similarity of concepts, generate the concept neighborhood and control its size according to the similarity degree of concepts. And then, it removes unnecessary nodes, to control the number of nodes in the object-oriented concepts, realization of object-oriented concepts simplify the compression and the knowledge base. The examples show that the compressing of object-oriented concept lattice is more effect when parameter values are smaller.
Key words：formal context; concept lattice; object-oriented concept lattice; similarity degree; neighborhood
目錄
引言.........................................................................2
第一章 緒論...............................................................4
1.1課題研究背景......................................................4
1.2國內外發(fā)展現狀...................................................4
1.3研究必要和總體思想..............................................5
第二章 預備知識..........................................................6
2.1概念格的建造.....................................................6
2.2概念格的規(guī)則提取................................................11
2.3定義.............................................................22
2.4開發(fā)環(huán)境.........................................................27
第三章 實例應用........................................................28
第四章 實現過程........................................................33
4.1面向對象概念格的構造..........................................34
4.2計算相似度......................................................36
4.3壓縮概念格......................................................39
小結.......................................................................44
致謝.......................................................................45
參考文獻..................................................................45
14600字
自己原創(chuàng)的畢業(yè)論文，已經通過校內系統檢測，重復率低，僅在本站獨家出售，大家放心下載使用
摘 要 ：概念格理論是知識處理與分析的一種有力工具，在知識發(fā)現和數據挖掘等眾多領域有著重要的應用。引入了概念相似度新的計算方法，由對象和屬性共同確定概念之間的相似程度，進而產生概念鄰域，并根據概念間相似程度來控制概念鄰域的大小，刪除不必要的節(jié)點，從而控制面向對象概念格中節(jié)點的個數，實現面向對象概念格的壓縮和知識庫簡化。示例表明，當參數的值較小時，壓縮效果明顯。
關鍵詞：形式背景；概念格；面向對象概念格；相似度；鄰居域
Abstract：Concept lattice theory is a powerful tool for processing and analysis of knowledge, knowledge discovery and datamining, and other important applications. A new method of similarity calculation of concepts is introduced. Objects and properties are both used to determine the similarity of concepts, generate the concept neighborhood and control its size according to the similarity degree of concepts. And then, it removes unnecessary nodes, to control the number of nodes in the object-oriented concepts, realization of object-oriented concepts simplify the compression and the knowledge base. The examples show that the compressing of object-oriented concept lattice is more effect when parameter values are smaller.
Key words：formal context; concept lattice; object-oriented concept lattice; similarity degree; neighborhood
目錄
引言.........................................................................2
第一章 緒論...............................................................4
1.1課題研究背景......................................................4
1.2國內外發(fā)展現狀...................................................4
1.3研究必要和總體思想..............................................5
第二章 預備知識..........................................................6
2.1概念格的建造.....................................................6
2.2概念格的規(guī)則提取................................................11
2.3定義.............................................................22
2.4開發(fā)環(huán)境.........................................................27
第三章 實例應用........................................................28
第四章 實現過程........................................................33
4.1面向對象概念格的構造..........................................34
4.2計算相似度......................................................36
4.3壓縮概念格......................................................39
小結.......................................................................44
致謝.......................................................................45
參考文獻..................................................................45
