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Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on

Date 18-21 Aug. 2012

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Displaying Results 1 - 25 of 151
  • [Back cover]

    Publication Year: 2012, Page(s): C4
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - xv
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  • Preface

    Publication Year: 2012, Page(s):xvi - xvii
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  • Organizing Committee

    Publication Year: 2012, Page(s): xviii
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  • Program Committee

    Publication Year: 2012, Page(s):xix - xxi
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  • Reviewers

    Publication Year: 2012, Page(s): xxii
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  • A Fuzzy Group Forecasting Model Based on BPNN for Wind Power Output

    Publication Year: 2012, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (257 KB) | HTML iconHTML

    Many forecasting models have been developed for forecasting wind farm electricity output. In most situations, performance of models is problem-dependent. Thus, it is difficult for forecasters to choose the right technique for each unique situation. In order to overcome this problem, this paper integrates multiple models into an aggregated model to obtain further performance improvement. Firstly, t... View full abstract»

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  • Reliability Analysis of Multi-Stress Accelerated Life Test Based on BP Neural Network

    Publication Year: 2012, Page(s):6 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB) | HTML iconHTML

    To construct multi-stress accelerated life model, the traditional method utilizes the observed value acquired in the process of accelerated life test to build likelihood equations of accelerated model, however, the excessive parameters of multi-stress accelerated model will lead to the difficulty in solving pluralism likelihood equations. Based on the predictability and convergence of genetic algo... View full abstract»

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  • A Triple Artificial Neural Network Model Based on Case Based Reasoning for Credit Risk Assessment

    Publication Year: 2012, Page(s):10 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (154 KB) | HTML iconHTML

    For most credit risk assessment models, decision attributes and history data are of great importance in terms of accuracy of prediction. Decision attributes can be classified into two types: numerical and categorical. As these two types have different characteristics, there will be interference if they are used simultaneously in the same model. By applying the case based reasoning (CBR) and artifi... View full abstract»

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  • Improving Financial Returns Using Neural Networks and Adaptive Particle Swarm Optimization

    Publication Year: 2012, Page(s):15 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB) | HTML iconHTML

    For financial investment, the problem that we often encounter is how to extract information hidden in the volatile and noise data and forecast it into future. This study proposes a novel three-stage neural-network-based nonlinear weighted ensemble model. In proposed model, three different types neural-network base models, i.e., Elman network, generalized regression neural network (GRNN) and wavele... View full abstract»

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  • An Ensemble of Fuzzy Sets and Least Squares Support Vector Machines Approach to Consumer Credit Risk Assessment

    Publication Year: 2012, Page(s):20 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (165 KB) | HTML iconHTML

    Least squares support vector machines (LS-SVM), with excellent generalization performance and low computational cost, has been proven to be a useful tool in consumer credit risk assessment. It is a common assumption that the labels of the consumers are unchanged, which is contradictory with population drift. In this paper, we use a fuzzy membership of each input data to represent the impact of pop... View full abstract»

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  • Personal Credit Assessment Based on KPCA and SVM

    Publication Year: 2012, Page(s):25 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (154 KB) | HTML iconHTML

    Personal credit assessment is carried out by setting up a mathematical model to count, calculate and analyze the personal credit data. At present personal credit assessment has already became a kind of worldwide industry. In this paper we combine kernel principal component analysis and support vector machine to propose a new mathematical model based on KPCA and SVM. We extract personal credit data... View full abstract»

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  • Crude Oil Price Forecasting: A Transfer Learning Based Analog Complexing Model

    Publication Year: 2012, Page(s):29 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (159 KB) | HTML iconHTML

    Most of the existing models for oil price forecasting only use the data in the forecasted time series itself. This study proposes a transfer learning based analog complexing model (TLAC). It first transfers some related time series in source domain to assist in modeling the target time series by transfer learning technique, and then constructs the forecasting model by analog complexing method. Fin... View full abstract»

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  • A Three-stage Data Mining Model for Reject Inference

    Publication Year: 2012, Page(s):34 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (185 KB) | HTML iconHTML

    Reject inference is a term that distinguishes attempts to correct models in view of the characteristics of rejected applicants. The main difficulty in establishing reject inference model is that the 'through-the-door' applicant population is unavailable. In this paper, we propose a hybrid data mining technique for reject inference. It is a three-stage approach: k-means cluster, support vector mach... View full abstract»

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  • Case Study of Performance Management for PPP Projects

    Publication Year: 2012, Page(s):39 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (139 KB) | HTML iconHTML

    As the widely usage of PPP model in the delivery of infrastructures all around the world, the performance of this procurement method is highly concerned. There have been many performance management techniques proposed in decades of practice, so this paper intended to study some of the successful cases and analyze their performance management practice, and also comparative study was conducted. Base... View full abstract»

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  • A New Method of Computing Chinese Word Similarity Based on Statistics

    Publication Year: 2012, Page(s):43 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    Word semantic similarity is a very subjective concept and it is very difficult to get a similarity value close to human judgment. Chinese word semantic similarity research is relatively scarce due to its inherent complexity. This paper presents an approach to compute Chinese word semantic similarity based on statistical methods with word frequency contrast introduced (WFC-WS). Word semantic vector... View full abstract»

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  • Regional Logistics Information Resources Integrate and Share

    Publication Year: 2012, Page(s):47 - 50
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    Integration and Sharing of information are becoming increasingly important in logistics industry, but due to the limitations of logistics enterprises in integrated technology and capabilities of regional expansion, regional logistics information could not be shared and exchanged across enterprises. When we design the model of integration and sharing of regional logistics information resources, we ... View full abstract»

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  • Envelopment-competition Pattern of E-Business Platform -- Insights from the Competition among Taobao, Baidu and Tencent

    Publication Year: 2012, Page(s):51 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (195 KB) | HTML iconHTML

    Under reconstructing the operation pattern of traditional economy with information technology, new business rules and competition logic emerge from internet industry, especially the envelopment-competition pattern in e-commerce field. This paper took the envelopment-competition behaviors of Taobao, Baidu, and Tencent as examples, deeply studied the envelopment-competition pattern of E-business pla... View full abstract»

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  • An Empirical Study of the Influence Factor of Tourism E-Commerce Purchase

    Publication Year: 2012, Page(s):56 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (181 KB) | HTML iconHTML

    In order to enhance the industrialization of the tourism e-commerce in china, the author of this paper, adopts SPSS17.0 statistical software to process the hands-on data based on the questionnaires and analyzes the influence factor of the tourism e-commerce systematically. The conclusion is that comprehensive information, secure transaction, convenient communication as well as good after service i... View full abstract»

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  • Evolution Model and Critical Mass of E-business Platform Based on Complex Networks

    Publication Year: 2012, Page(s):60 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    E-business platform is of typical characteristics of networked market, in which the positive feedback mechanism leads to platform success provided that the number of platform users surpasses its critical mass. Otherwise, the platform would diminish and disappear in the market under the effect of the negative feedback mechanism. This paper, based on the complex network method, developed a dynamical... View full abstract»

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  • Maximization of Online Display Advertising Slots

    Publication Year: 2012, Page(s):65 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Online advertising has become one of the hottest topic in the internet industry because of its great success in creating value to advertisers, web publishers, search engines and consumers. Based on the perishable property of online display advertising spaces, in this paper, it proposes an optimal model about the slot capacity allocation of a certain space and presents some numerical results to sup... View full abstract»

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  • Collaborative Filtering Recommendation Algorithm Based on Item Clustering and Global Similarity

    Publication Year: 2012, Page(s):69 - 72
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (170 KB) | HTML iconHTML

    Collaborative filtering is one of the most important algorithms applied in e-commerce recommendation systems. The conventional calculations of similarities are inefficient, which suffers from data sparsity and poor prediction quality problems. In order to overcome the limitations, a new collaborative filtering recommendation algorithm based on item clustering and global similarity is proposed. Fir... View full abstract»

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