Description: - XCS for Dynamic Environments
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence
H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.-- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous - Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005. Platform: |
Size: 23001 |
Author:李恆寬 |
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Description: 经典的数据挖掘分类算法，由ID3算法演变而来。本算法主要用于处理连续属性值，基本过程如下：
1.根据属性的值对数据集排序
2.用不同的阈值将数据集动态的分类
3.迭代根据阈值进行划分
4.得到所有可能的阈值、增益以及增益比-classical classification of data mining algorithms, evolved from the ID3 algorithm. This is mainly used to deal with continuous attribute values, the basic process is as follows : 1. According to the values of attributes of sorting two data sets. different thresholds of data sets dynamic classification 3. According iteration threshold Progressive - draw 4. all possible threshold, and gains than Gain Platform: |
Size: 148610 |
Author:kpeng |
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Description: 次算法为数据挖掘中动态聚类算法的实现，对数据挖掘有一定的帮助-time data mining algorithms for dynamic clustering algorithm to the realization of data mining is certainly helpful Platform: |
Size: 38015 |
Author:水蓝 |
Hits:
Description: - XCS for Dynamic Environments
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence
H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.-- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005. Platform: |
Size: 22528 |
Author:李恆寬 |
Hits:
Description: 经典的数据挖掘分类算法，由ID3算法演变而来。本算法主要用于处理连续属性值，基本过程如下：
1.根据属性的值对数据集排序
2.用不同的阈值将数据集动态的分类
3.迭代根据阈值进行划分
4.得到所有可能的阈值、增益以及增益比-classical classification of data mining algorithms, evolved from the ID3 algorithm. This is mainly used to deal with continuous attribute values, the basic process is as follows : 1. According to the values of attributes of sorting two data sets. different thresholds of data sets dynamic classification 3. According iteration threshold Progressive- draw 4. all possible threshold, and gains than Gain Platform: |
Size: 148480 |
Author:kpeng |
Hits:
Description: 次算法为数据挖掘中动态聚类算法的实现，对数据挖掘有一定的帮助-time data mining algorithms for dynamic clustering algorithm to the realization of data mining is certainly helpful Platform: |
Size: 243712 |
Author:水蓝 |
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Description: 数据挖掘中动态聚类的K-means算法，适合研究聚类人员。-Data Mining in the dynamic clustering of K-means algorithm for clustering research staff. Platform: |
Size: 3072 |
Author:知风 |
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Description: 应用策略设计模式，模拟动态数据挖掘算法调度，可以实现对数据挖掘算法根据名称调用具体算法的实现，达到算法独立于挖掘逻辑的目的-Application strategy design pattern to simulate dynamic data mining algorithms scheduling, data mining algorithms can be achieved right call by name the specific algorithm implementation, independent of the mining algorithms to achieve the purpose of the logic Platform: |
Size: 47104 |
Author:高雅田 |
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Description: 此压缩包中包含使用AD603和AD8318实现大动态范围IF接收机，AD603在信号采采集系统中的应用 和AD603及其在AGC电路中的应用的中文资料。及AD603芯片资料。
-This compressed package contains the AD603 and AD8318 to achieve a large dynamic range IF receiver, the Chinese data of AD603 signal mining acquisition system and the AD603 and its application in the AGC circuit. And AD603 chip data. Platform: |
Size: 155648 |
Author:xlli |
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Description: This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of inter- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing fields of information visualization and data mining, especially visual data mining.-Interactive and Dynamic Graphics for Data Analysis Platform: |
Size: 7549952 |
Author:杨婷婷 |
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Description: 仿百度搜索引擎软件蜘蛛组件包括三大功能模块：链接采集、网页分析、无效网页扫描；
自动识别GB2312、BIG5、UTF-8、Unicode等网页编码；
文件类型证察防止非文本类型文件采集；
蜘蛛可以采集ASP、PHP、JSP等动态数据网页和HTML、SHTML、XHTML等静态网页；
支持续采功能，如果因系统、网络等故障问题终止采集，系统将在下次启动采集时提示您是否“继续采集”或“结束任务”；
采集任务管理功能可以设置多个采集任务安排计划工作，每一个采集任务将会顺次运行；
本程序完全高仿百度，有自主开发的蜘蛛智能抓取网页功能，非网络上仅仅只是界面模仿的免费程序！
程序包含15大功能！
1.网页搜索
2.搜索风云榜
3.网址导航
4.竞价排名
5.蜘蛛智能抓取网页
6.网站qp值智能排名
7.后台违法关键字过滤
8.网站智能分类
9.违法作弊网站一键删除
10.网站登录入口
11.信息反馈留言板
12.搜索右侧自定义广告
13.已收录网站和网页统计
14.网站一键收录
15.客户端蜘蛛系统和web蜘蛛系统-Imitation Baidu search engine spiders software component consists of three functional modules: link collection, web analytics, invalid page scanning
Automatic identification GB2312, BIG5, UTF-8, Unicode and other web coding
File Type Certificate police to prevent non-text type file collection
Spider can collect ASP, PHP, JSP and other dynamic data pages and HTML, SHTML, XHTML and other static pages
Support the continued mining function, if the problem due to the fault systems, networks, and other termination of the acquisition, the system will prompt the next time you start collecting continue to collect or End Task
Acquisition task management function can set up multiple acquisition plan for the organization of work tasks, each task will be collected sequentially run
The program is completely high imitation Baidu, has developed intelligent spiders crawl the web function on a non-network interface merely imitate free program!
Program includes 15 major func Platform: |
Size: 2680832 |
Author:阿亮 |
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Description: 数据挖掘Aprior的简易c++实现，通过string来表示数据集，没有采用STL set集合操作，因此实现起来简单一些，判断是否包含用到了动态规划算法中的最长公共子序列，思想是暴力求解，没有用到很高端的思想和算法。(Simple c++ data mining Aprior, said data set by the string, without the use of STL set collection operation, thus the realization is simple, determine whether to include use of the longest common subsequence dynamic programming algorithm, thought is a brute force solution, no thought and algorithm used in high-end.) Platform: |
Size: 1024 |
Author:MAR阿尔维斯
|
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Description: Dynamic Time Warping（DTW）诞生有一定的历史了（日本学者Itakura提出），它出现的目的也比较单纯，是一种衡量两个长度不同的时间序列的相似度的方法。应用也比较广，主要是在模板匹配中，比如说用在孤立词语音识别（识别两段语音是否表示同一个单词），手势识别，数据挖掘和信息检索等中。(The birth of Dynamic Time Warping (DTW) has a certain history (Itakura, a Japanese scholar), and its purpose is relatively simple. It is a method of measuring the similarity of two different time series of different lengths. It is widely used, mainly in template matching, for example, in isolated word speech recognition (whether two segments of speech represent the same word), hand gesture recognition, data mining and information retrieval.) Platform: |
Size: 1024 |
Author:cxj01
|
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Search - dynamic data mining