Data miningEmpirical processGini correlationLIFT measuresAn asymmetric correlation measure commonly used in social economics, called the Gini correlation, is defined between a numerical response and a rank. We generalize the definition of this correlation so that it can be applied to data mining. The...
In this paper, a novel technique was present for mining complete correlation itemset, named as NLCD(non-linear correlation discovery) from hereon. In the first, it employ the vertical representation of a database, and then to find the direction between the correlative itemsets with fast processin...
With the big data of load characteristics statistical indexes and temperature indexes increasing, it is significant to obtain correlative features of electric data effectively for planning and operation in power system. In this paper, a approach which can extract the temperature influence on load charac...
Financial data mining is one of the most challenging research directions in information society. Financial data with random characteristics make it difficult to find out the rule hidden in data. In this paper, it is pointed out that correlation coefficient can not capture nonlinear information, which...
Mining Data Correlation from Multi-faceted Sensor Data in the Internet of Things D Cao,X Qiao,J Gelernter,... - 中国通信 被引量: 0发表: 2011年 Efficient Large-scale Medical Data (eHealth Big Data) Analytics in Internet of Things Recent technologies such as Big Data could be used in ...
Analyzes: (a) the end of the line yields the data, identifies the process tool of one or more associated with a low yield, in response to an output from the (b) analysis of the process tools of one or more analyzes the process tool data, including identifying data mining engine process...
If the total number of fields is small, the Field Correlation Table contains all pairs of input fields. If the number of pairs exceeds approximately 50 to 100, only the most important correlated pairs of input fields and their correlation coefficient are shown in the table....
The phenomenal growth in the healthcare data has inspired us in investigating robust and scalable models for data mining. For classification problems Information Gain(IG) based Decision Tree is one of the popular choices. However, depending upon the nature of the dataset, IG based Decision Tree ...
The rough set which is used in the field of data mining extensively is introduced in the analysis of courses correlation in the college and the analysis mo... 贺超波,陈启买 - 《计算机工程与应用》 被引量: 0发表: 2011年 学生综合素养对语言学习的影响程度研究 upgrade-insecure-requeststext/html;...
(a) a data mining engine that analyzes end-of-line yield data to identify one or more process tools associated with low yield; and (b) in response to output from the analysis, analyzes process tool data from the one or more process tools to identify one or more process tool parameters ...