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Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on

Date 17-18 Oct. 2011

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Displaying Results 1 - 25 of 173
  • [Front cover]

    Publication Year: 2011 , Page(s): C1
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  • [Title page i]

    Publication Year: 2011 , Page(s): i
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  • [Title page iii]

    Publication Year: 2011 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2011 , Page(s): iv
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  • Table of contents

    Publication Year: 2011 , Page(s): v - xvii
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  • Preface

    Publication Year: 2011 , Page(s): xviii - xix
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  • Organizing Committee

    Publication Year: 2011 , Page(s): xx
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  • Program Committee

    Publication Year: 2011 , Page(s): xxi - xxv
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  • Reviewers

    Publication Year: 2011 , Page(s): xxvi
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  • Co-sponsors

    Publication Year: 2011 , Page(s): xxvii
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  • Technical Co-sponsors

    Publication Year: 2011 , Page(s): xxviii
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  • Workshops

    Publication Year: 2011 , Page(s): xxix
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  • The Optimization of Network Text Filtering Model Based on the Hownet and Concept Expansion

    Publication Year: 2011 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (351 KB) |  | HTML iconHTML  

    Network text filtering model can be based on the user's own needs , and can effectively solve the problem of information lost through the filtering mechanism to actively select the needed information. This paper does an analysis on network information filtering model structure. It is mainly to design a text information filtering model based on Hownet's semantic dictionary to solve the common probl... View full abstract»

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  • Business Competitors Analysis Based on Rough Set Theory: A Case of Business Partner Dynamic Selection

    Publication Year: 2011 , Page(s): 5 - 8
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (460 KB) |  | HTML iconHTML  

    Selecting ideal partners is the first step of constructing a business alliance, which influences the efficiency of alliance operation and coordination directly. The study proposed a dynamic partner selection model which included information collection module, rough set processing module, partner selection module, and result assessment module. Several methodologies were applied in the model: meta s... View full abstract»

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  • The Study on Early Warning of Online Public Crisis Based on Intelligent Meta Search Engine

    Publication Year: 2011 , Page(s): 9 - 13
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (385 KB) |  | HTML iconHTML  

    The development and application of Internet provides public organizations and individuals the access to express their opinions, thereby the focus of governmental management shift to the internet domain from the traditional field in dealing with the public crisis. By combining Agent Technique and Meta-search Engine Technique, the paper analyzes and designs its framework and functional modules of th... View full abstract»

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  • Research of Intelligent Intrusion Detection System Based on Web Data Mining Technology

    Publication Year: 2011 , Page(s): 14 - 17
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (350 KB) |  | HTML iconHTML  

    The network information security problem has been an essential factor that restricts internet application. Intrusion detection technology, though one of the important technologies of network information security protection, has some shortcomings. By applying web data mining technology and intelligent agent technology to intrusion detection system, we can solve the conventional problem in intrusion... View full abstract»

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  • A Combination Forecasting Method Based on GEP

    Publication Year: 2011 , Page(s): 18 - 21
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (380 KB) |  | HTML iconHTML  

    A combination forecasting method based on gene expression programming (GEP) is introduced in this paper. The main idea of this method is that the nonlinear combination forecasting function can be simulated by gene expression programming. Not only the difficulty of constructing the nonlinear combination forecasting function is decreased, but also the prediction precision is improved by the combinat... View full abstract»

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  • Forecasting Exchange Rate Volatility with Linear MA Model and Nonlinear GABP Neural Network

    Publication Year: 2011 , Page(s): 22 - 26
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (410 KB) |  | HTML iconHTML  

    In order to research RMB exchange rate volatility under exchange rate elastification, this article selects the structure variables about RMB exchange rate volatility to forecast exchange rate volatility by linear moving average model (MA), general back propagation (BP) network and genetic algorithm back propagation (GABP) neural network model respectively. By comparison, we find that, in the lack ... View full abstract»

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  • The Use of Grey Verhulst Model in the Prediction of Operating Activity Cash Flow

    Publication Year: 2011 , Page(s): 27 - 31
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (427 KB) |  | HTML iconHTML  

    In order to make a correct decision on avoiding financial crisis for the enterprise, it is necessary to investigate the trends of net cash flow in the enterprise business activities. In this paper, operating cash flow forecasting model is built on the use of the Gray Verhulst Model as well as the BP Neural Network approach. Empirical analyses prove that the average relative error rate is much less... View full abstract»

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  • The Forecast of Price Index Based on Wavelet Neural Network

    Publication Year: 2011 , Page(s): 32 - 36
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (380 KB) |  | HTML iconHTML  

    Financial time series are non-stationary, nonlinear, and stochastic, which makes prediction for them rather difficult. This article uses one method based on the wavelet analysis and the artificial intelligence to predict the A300 index in China and NASDAQ index in the USA. Comparing with wavelet-ARIMA model and simple BP neural network, our model(wavelet combined neural network) demonstrates super... View full abstract»

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  • Micro-foundation of Industrial Clusters' Evolution: Implications from a Simulation Approach

    Publication Year: 2011 , Page(s): 37 - 40
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (410 KB) |  | HTML iconHTML  

    Industrial clusters are widely considered as the most remarkably successful developing mode of regional economy. Though, the present literature and conclusions on its evolution are rather confusing. This paper reviews the current literature on industrial clusters from perspectives of bottom-up approaches, in an attempt to revealing the micro-foundations that underpin their evolution. By swarm-simu... View full abstract»

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  • Business Cycle Index Forecasting of Grey Model Optimized by Genetic Algorithm

    Publication Year: 2011 , Page(s): 41 - 44
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (383 KB) |  | HTML iconHTML  

    Business cycle forecasting is the premise and foundation of strategy-making, plan-making and decision-making. According to business cycle index forecasting method, due to small sample data of leading indicator, it is difficult to determine changes in trends of business cycle fluctuation. Leading index is forecasted to extend its sample by the gray model. In order to overcome using least squares me... View full abstract»

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  • Least Square Support Vector Machine Based on Improved Particle Swarm Optimization to Short-term Forecasting

    Publication Year: 2011 , Page(s): 45 - 48
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (405 KB) |  | HTML iconHTML  

    Forecasting based on least squares support vector machine (LS-SVM) method can be a very good track historical data, and there have a good predictive ability of extrapolation. However, parameter selection is an import work in the application of LS-SVM as it is related to the performance of the constructed predicting. Therefore, an improved particle swarm optimization (IPSO) algorithm was proposed t... View full abstract»

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  • Support Vector Machine Based Forecasting of the Contract Prices of Stock Index Futures

    Publication Year: 2011 , Page(s): 49 - 53
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (429 KB) |  | HTML iconHTML  

    Finance is the core of modern economy. Financial derivatives first appeared in the 80s of the 20th century. As one of the important financial derivatives, the stock index futures have developed only recently but have become one of the most successful derivatives. Its impact can be seen in many corners of the financial markets. With the continuous development of financial markets, it is necessary t... View full abstract»

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  • Price Prediction of Stock Index Futures Based on SVM

    Publication Year: 2011 , Page(s): 54 - 57
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (584 KB) |  | HTML iconHTML  

    Though accurately forecasting the price of stock index futures is impossible, it is of great significance if the price's variation trend can be estimated to a certain extent. In this paper, we adopted a Support Vector Machines method to predict the prices of Stock index futures in the next 5 trading days. First, with an information granulation method, the original data of 3 stock index futures wer... View full abstract»

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