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Displaying 1-12 out of 12 total
Classification for Orange Varieties Using Near Infrared Spectroscopy
Found in: Data Mining Workshops, International Conference on
By Warawut Suphamitmongkol,Guangli Nie,Rong Liu,Yong Shi
Issue Date:December 2011
pp. 280-285
A reduced classification model is developed in order to discriminate the three orange varieties (i.e., Kaew Wan, Number One, and Sai Nam Pung). A diversity of classification methods, including kNN, Linear Discriminant Analysis (LDA), Logistic Regression (L...
 
Multiple Criteria Quadratic Programming for Fund Customer Churn Analysis
Found in: Computational Sciences and Optimization, International Joint Conference on
By Rui Wang, GuangLi Nie, Yong Shi
Issue Date:April 2011
pp. 314-317
Customer churn analysis and prediction play an important role in customer relationship management and improve benefit of enterprises. In recent years, classification models based on mathematical programming have been widely applied to customer churn analys...
 
Find Intelligent Knowledge by Second-Order Mining: Three Cases from China
Found in: Data Mining Workshops, International Conference on
By Guangli Nie, Lingling Zhang, Yuejin Zhang, Wei Deng, Yong Shi
Issue Date:December 2010
pp. 1189-1195
This paper discusses the second-order mining of the results of data mining. There is still gap between the knowledge which can direct the operation of company and the knowledge got from data mining. We take the knowledge from data mining as primary knowled...
 
Predicting Credit Card Holder Churn in Banks of China Using Data Mining and MCDM
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Guoxun Wang, Liang Liu, Yi Peng, Guangli Nie, Gang Kou, Yong Shi
Issue Date:September 2010
pp. 215-218
Nowadays, with increasingly intense competition in the market, major banks pay more attention on customer relationship management. A real-time and effective credit card holders’ churn analysis is important and helpful for bankers to maintain credit card ho...
 
A New Kernel-Based Classification Algorithm
Found in: Data Mining, IEEE International Conference on
By Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi
Issue Date:December 2009
pp. 1094-1099
A new kernel-based learning algorithm called kernel affine subspace nearest point (KASNP) approach is proposed in this paper. Inspired by the geometrical explanation of Support Vector Machines (SVMs) and its nearest point problem in convex hulls, we extend...
 
A New Classification Method for PCA-Based Face Recognition
Found in: Business Intelligence and Financial Engineering, International Conference on
By Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang
Issue Date:July 2009
pp. 445-449
This paper introduces a novel pattern classification approach called l1 norm nearest neighbor convex hull (l1 NNCH) approach and applies it for PCA-based face classification. In l1 NNCH, l1 norm distance from a query to a convex hull of a class is defined ...
 
A New Research Field: Intelligent Knowledge Management
Found in: Business Intelligence and Financial Engineering, International Conference on
By Lingling Zhang, Jun Li, Aihua Li, Peng Zhang, Guangli Nie, Yong Shi
Issue Date:July 2009
pp. 450-454
Knowledge or hidden patterns discovered by data mining from large-scale databases has great novelty, which is often unable to be gained from the experts. Given large-scale databases, this paper proposes foundations of intelligent knowledge management. It e...
 
A Survey of Interestingness Measures for Association Rules
Found in: Business Intelligence and Financial Engineering, International Conference on
By Yuejin Zhang, Lingling Zhang, Guangli Nie, Yong Shi
Issue Date:July 2009
pp. 460-463
Association mining can generate large quantity of rules, most of which are not interesting to the user. Interestingness measures are used to find the truly interesting rules. This paper presents a review of the available literature on the various interesti...
 
Transfer Knowledge via Relational K-Means Method
Found in: Business Intelligence and Financial Engineering, International Conference on
By Peng Zhang, Lingling Zhang, Guangli Nie, Yuejin Zhang, Yong Shi
Issue Date:July 2009
pp. 656-659
Recent years have witnessed a large body of research works on mining knowledge from large volume of data to support decision making, where a primary assumption is that the training and test examples come from a same domain (i.e., the target domain). Howeve...
 
A Way to Implement Intelligent Knowledge Push in Knowledge Management System
Found in: Computational Sciences and Optimization, International Joint Conference on
By Lingling Zhang, Guangli Nie, Yuejin Zhang, Ying Wang, Yong Shi
Issue Date:April 2009
pp. 746-749
In this paper, we design a mechanism which can measure the affinity between knowledge and knowledge to execuate intelligent management of knowledge in an organization. Based on the affinity we get from the previous calculation, we can implement knowledge p...
 
The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example
Found in: Data Mining Workshops, International Conference on
By Guangli Nie, Lingling Zhang, Xingsen Li, Yong Shi
Issue Date:December 2006
pp. 843-847
The email has profoundly affected our ways of life. In the year 2001, many websites begin operating the charge emails in china. Recently the foreign internet company serves free email with large storage capability, which threats the existence of charge ema...
 
Personal Financial Market Segmentation Based on Clustering Ensembles
Found in: Computer Science and Information Engineering, World Congress on
By Guoxun Wang, Guangli Nie, Peng Zhang, Yong Shi
Issue Date:April 2009
pp. 694-698
Market segmentation is one of the most important areas of knowledge-based marketing. When it comes to personal financial services in retail banks, it is really a challenging task as data bases are large and multidimensional. The conventional ways in custom...
 
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