Get Advanced Web and Network Technologies, and Applications: PDF

By Zhiming Ding (auth.), Yoshiharu Ishikawa, Jing He, Guandong Xu, Yong Shi, Guangyan Huang, Chaoyi Pang, Qing Zhang, Guoren Wang (eds.)

ISBN-10: 354089375X

ISBN-13: 9783540893752

ISBN-10: 3540893768

ISBN-13: 9783540893769

This booklet constitutes the completely refereed joint post-workshop lawsuits of 3 foreign workshops held along side the tenth Asia-Pacific net convention, APWeb 2008, in Shenyang, China, in April 2008 (see LNCS 4976).

The 15 revised complete papers awarded including four invited papers and four keynote lectures have been rigorously reviewed and chosen from a variety of submissions. subject matters addressed by means of the workshops are company intelligence and information mining (BIDM 2008), overall healthiness facts administration (IWHDM 2008), and knowledge engineering and internet know-how learn (DeWeb 2008). The papers specialize in matters resembling net looking out, internet companies, database, facts mining, bioinformatics, and company intelligence.

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Read or Download Advanced Web and Network Technologies, and Applications: APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers PDF

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Additional info for Advanced Web and Network Technologies, and Applications: APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers

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Peng ⎧1 − (1 + ξ x / β ) −1/ ξ ξ ≠ 0 Gξ , β ( x ) = ⎨ ⎩ 1 − exp( − x / β ) ξ = 0 Where β (4) is the scale parameter, ξ is the shape parameter which determines the shape of the distribution, and τ= 1 ξ is the defined tail index of the distribution. (1998)[12]. VaR − X Estimation assumes that the financial returns series are t-distribution. Based on the degrees of freedom(DF)of the t-distribution which is estimated according to the returns of the sample data, we can accurately estimate the tail distribution of the financial returns(See details in [12]).

246% 0 0% 0 4 Concluding Remarks An appropriate approach for margin setting in an emerging market (like that of China) remains highly concentrated and has been kept under academic discussion for years. In the search for clearer answers, the main theoretical methods that are currently popular ought to be tested. The main contribution of this paper is to select the data of Hang Seng index futures, which is highly similar to the features of domestic capital market among the abundant data storage, and isolate the spread yield of quarterly contracts for consideration, and then examine how EWMA method, ARMA-EGARCH model and EVT applied on the margin setting estimation of calendar spread trading.

It is reported that the method can obtain coverage as 97% and at least 77% precision in noun multi-word identification, and 67% noun multi-words are conformed to the regulation given by them. Similar work can also be found in [3, 4]. Statistical methods mostly employed a series of statistical variables on words’ frequency and words’ position are proposed to measure the possibility of a word pair to be a multi-word1. For instance, Smadja used the relative offset of two words’ positions occurring in a corpus to determine whether or not they constitute a multi-word [5].

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Advanced Web and Network Technologies, and Applications: APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers by Zhiming Ding (auth.), Yoshiharu Ishikawa, Jing He, Guandong Xu, Yong Shi, Guangyan Huang, Chaoyi Pang, Qing Zhang, Guoren Wang (eds.)


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