New Approach of Data Mining from the Complex Impedance Plane: Parameters You Have Always Wanted to Have

2014 ◽  
Vol 61 (1) ◽  
pp. 217-221
Author(s):  
J. M. Macak ◽  
D. Patil ◽  
M. Fraenkl ◽  
V. Zima ◽  
K. Shimakawa ◽  
...  
Web Mining ◽  
2011 ◽  
pp. 253-275
Author(s):  
Xiaodi Huang ◽  
Wei Lai

This chapter presents a new approach to clustering graphs, and applies it to Web graph display and navigation. The proposed approach takes advantage of the linkage patterns of graphs, and utilizes an affinity function in conjunction with the k-nearest neighbor. This chapter uses Web graph clustering as an illustrative example, and offers a potentially more applicable method to mine structural information from data sets, with the hope of informing readers of another aspect of data mining and its applications.


Author(s):  
Xiongtao Zhang ◽  
Xiaomin Zhu ◽  
Weidong Bao ◽  
Laurence T. Yang ◽  
Ji Wang ◽  
...  

2016 ◽  
Vol 64 (7) ◽  
Author(s):  
Christian Bauer ◽  
Zaigham-Faraz Siddiqui ◽  
Manuel Beuttler ◽  
Klaus Bauer

AbstractWith the increasing connectivity of devices, the amount of data that is recorded and ready for analysis is growing correspondingly. This is also the case for shop floors in flexible sheet metal handling and production. With the growing need for flexibility in production, the availability of machine tools is imminent. This paper shows different approaches that a classical manufacturing systems company such as TRUMPF takes in applying data mining techniques to address the new challenges which come with the Internet of things. In addition to classical methods, a new approach is introduced that does not need any alteration of the machine or its interfaces.


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