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作者： Nie, Guangli Chen, Yibing Zhang, Lingling Guo, Yuhong Research Center on Fictitious Economy and Data Science CAS Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China Department of Information Technology University of International Relations Beijing 100091 China

In this paper, we propose a new distance measurement which can be used in panel data clustering. The distance as we designed can be calculated with weight and without weight. If users put more attention on recent data, a heavier weight can be assigned to the recent data. We use real panel data of a commercial bank's credit card to examine the performance of our new distance measurement. The results show that our distance measurement can reflect the information of different periods and panel data can be used to cluster to find new knowledge. This study discovers different knowledge structure from the traditional econometrics analysis with the help of data mining algorithms.

关键词： data mining

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Web intelligence meets extenics: New frontiers of innovation for small & middle business

Web intelligence meets extenics: New frontiers of innovation...

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2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent technology - Workshops, WI-IAT 2010

作者： Li, Xingsen Zhang, Aiguo Duan, Jianling Zhu, Zhengxiang Management School Ningbo Institute of Technology Zhejiang University China Management School Hebei University of Technology Tianjin China Lanzhou Stereotypes Future Intelligence Technology Co. Ltd. Lanzhou China Research Center on Fictitious Economy and Data Science CAS Beijing China

ISBN: (纸本)9780769541914

Innovation is important but many of them rely on skilled persons which are scarce in most small& middle business (SMB). Obtaining enough information and knowledge then processing them effectively is two key factors for innovation. Web Intelligence (WI) can provide enough knowledge;meanwhile Extenics provides a novel methodology to process knowledge to support innovation process. So we present a WI and Extenics combined knowledge management model to aid innovation process and obtained satisfactory results. By briefly demonstrating the potentials of WI-Extenics-based Innovation research, we believe that integrating WI with Extenics will be a novel research issues for innovation in SMB. © 2010 IEEE.

关键词： knowledge management

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A new training method for sequence data

A new training method for sequence data

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作者： Niu, Lingfeng Shi, Yong Research Center on Fictitious Economy and Data Science CAS Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 United States

Under the framework of max margin method, this work proposes a model for training sequence data, which can be solved as a binary classification. However, there are too many samples in the auxiliary classification problem to make the model efficient enough for median to large scale data sets in practice. Therefore, under the additive assumption for the feature mapping and loss function, a simplified model is introduced in order to speed up training. The major advantage of our method is that the new model does not share slack variable for a sequence. This provides the ability to utilize the discriminate information within the sequence and select the discriminative patterns more precisely. Experiment on the task of named entity recognition validates the effectiveness of the new method. © 2010 Published by Elsevier Ltd.

关键词： Classification (of information)

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FMCDM: A Fuzzy multi-criteria decision-making hybrid approach to evaluate the damage level of Typhoon-Integration of Fuzzy AHP and Fuzzy TOPSIS

FMCDM: A Fuzzy multi-criteria decision-making hybrid approac...

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3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010

作者： Shi, Yu Kou, Gang Li, Youyuan Wang, Guoxun Peng, Yi Shi, Yong School of Management and Economics University of Electronic Science and Technology of China Chengdu 610054 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 United States CAS Research Center on Fictitious Economy and Data Sciences Beijing 100080 China

ISBN: (纸本)9781424473854

In this study, we proposed a Fuzzy multi-criteria decision-making hybrid approach (FMCDM) which integrates the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) to evaluate the severity of the damage of Typhoon in various provinces in China. In order to match the AHP method in the 1-9 criteria, the statistics data of typhoon disaster losses in 2008 is normalized by fuzzy number and then processed by the proposed hybrid method of AHP and TOPSIS. The experiment results show that the proposed method is effective and can provide a comprehensive assessment to the damage level of Typhoon.

关键词： Disasters

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The strategic asset allocation optimization model of sovereign wealth funds based on maximum CRRA utility & minimum VAR

The strategic asset allocation optimization model of soverei...

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作者： Yu, Jing Xu, Bin Yang, Haizhen Shi, Yong Research Center of Fictitious Economy and Data Science CAS 100190 China School of Accountancy Central University of Finance and Economic 100081 China University of Graduate China Academy of Science 100190 China College of Information Science and Technology University of Nebraska Omaha 681820572 United States

This paper presents a new optimum model to reflect the strategic assets allocation of SWFs. According to the risk value of assets of SWFs, it can be classified into four kinds of assets listed as high risk asset, middle risk asset, low risk asset and risk free asset. Thus the optimization model will be developed to decide the corresponding weight number of above four classified assets including maximum CRRA utility and minimum VAR objectives subject to some subjective and objective conditions. In the last, a numerical simulation will be drawn to achieve the Pareto solutions to illustrate the application of developed model by using NSGA-II.

关键词： Investments

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The domain knowledge driven intelligent data auditing model

The domain knowledge driven intelligent data auditing model

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2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent technology - Workshops, WI-IAT 2010

作者： Yu, Jing Xu, Bin Shi, Yong Research Center on Fictitious Economy and Data Science CAS Beijing 100190 China University of Graduate China Academy of Science Beijing 100190 China School of Accountancy Central University of Finance and Economic Beijing 100081 China College of Information Science and Technology University of Nebraska Omaha 681820572 United States

ISBN: (纸本)9780769541914

With the fast development of information technology,1 both traditional audit theory and practice encounter the unprecedented challenge, hereafter the data audit conception emerges with respondence to these changes. Unfortunately the data audit model and its corresponding implementation route are scarcely studied. By integrating data mining technology with audit domain knowledge, this paper will proposed a kind of new domain knowledge driven intelligent data auditing model which taking advantages of data warehouse, data mining and intelligent knowledge management with application of audit domain, and the paper demonstrates how to apply some normal data mining technologies in audit data mining, which is benefit to further study to reduce audit risk and assure the audit quantity. © 2010 IEEE.

关键词： data mining

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A new training method for sequence data

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Procedia Computer Science 2010年第1期1卷 2391-2396页

作者： Lingfeng Niua Yong Shi Research Center on Fictitious Economy and Data Science CAS Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 USA

关键词： Max margin method Sequence data Structure learning

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FMCDM: A fuzzy multi-criteria decision-making hybrid approach to evaluate the damage level of typhoon: Integration of fuzzy AHP and fuzzy TOPSIS

FMCDM: A fuzzy multi-criteria decision-making hybrid approac...

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International Conference on Information Sciences and Interaction Sciences (ICIS)

作者： Yu Shi Gang Kou Youyuan Li Guoxun Wang Yi Peng Yong Shi School of Management and Economics University of Electronic Science and Technology Chengdu China College of Information Science & Technology University of Nebraska Omaha Omaha NE USA Research Center on Fictitious Economy and Data Sciences CAS Beijing China

关键词： Decision making Typhoons technology management Fuzzy set theory Decision support systems Information science Content addressable storage Information analysis Statistics Meteorology

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Credit card customer analysis based on panel data clustering

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Procedia Computer Science 2010年第1期1卷 2489-2497页

作者： Guangli Nie Yibing Chen Lingling Zhang Yuhong Guo Research Center on Fictitious Economy and Data Science CAS Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China Department of Information Technology University of International Relations Beijing 100091 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 USA

In this paper, we propose a new distance measurement which can be used in panel data clustering. The distance as we designed can be calculated with weight and without weight. If users put more attention on recent data, a heavier weight can be assigned to the recent data. We use real panel data of a commercial bank’s credit card to examine the performance of our new distance measurement. The results show that our distance measurement can reflect the information of different periods and panel data can be used to cluster to find new knowledge. This study discovers different knowledge structure from the traditional econometrics analysis with the help of data mining algorithms.

关键词： Panel data data mining Clustering Credit card churn analysis

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The strategic asset allocation optimization model of sovereign wealth funds based on maximum CRRA utility & minimum VAR

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Procedia Computer Science 2010年第1期1卷 2433-2440页

作者： Jing Yu Bin Xu Haizhen Yang Yong Shi Research Center of Fictitious Economy & Data Science CAS 100190 PR China University of Graduate China Academy of Science 100190 PR China School of Accountancy Central University of Finance and Economic 100081 PR China College of Information Science and Technology University of Nebraska at Omaha 681820572 USA

关键词： Sovereign wealth funds Strategic assets allocation CRRA utility function VAR risk control

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