Read e-book online 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 e-book constitutes the completely refereed joint post-workshop court cases 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 offered including four invited papers and four keynote lectures have been rigorously reviewed and chosen from a number of submissions. themes addressed by means of the workshops are company intelligence and knowledge mining (BIDM 2008), overall healthiness information administration (IWHDM 2008), and information engineering and net know-how study (DeWeb 2008). The papers specialise in concerns reminiscent of net looking out, net providers, database, information 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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Extra 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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If keyword ki and keyword k j simultaneously belong to the keyword set of one text, then an edge exists between two vertices eij = (ki , k j ), i ≠ j , eij ∈ E ( E is the edge set). Then each keyword set of one text constructs a complete keyword graph, a somewhat structure of the text which reflect personal opinions. A keyword network denotes the aggregation of all keyword graphs based on all texts relevant to the concerned topic. If Gl = ( K l , El ) indicates the keyword graph of the lth text where K l = { k1l , k 2l ,L, k nl } is the keyword set, E l is the edge set, then G = ( K , E ) where K = ∪ K l = ∪ {k1l , k 2l ,L, k nl } , E = ∪ El = ∪{eij } , i, j = 1, 2,K , m, i ≠ j .

The augmented information 20 X. Tang technologies are mainly developed to facilitate those four basic activities to acquire basic threads or constructs from those on-line community opinions, such as customers’ preferences. 1 AIS – Augmented Information Support The AIS technology actually refers to a large category of those widely studied Web and text mining technologies. Web text mining technology focuses the Web pages which contain not only pure texts but also the hyperlinks between Web pages and more preprocess should be counducted on Web texts than pure texts.

YU Fangping , SUN Shaohong and WANG Yu-gang (2006) more precisely estimated the decay factor using lag coefficient in GARCH model [6]. 2 GARCH Family Models In order to obtain a more precise estimation of volatility, GARCH family models have been applied to the prediction of volatility, with which the maintenance margin can be better estimated. Bollerslev (1989) developed GARCH model [7], overcoming to some extent the shortcomings of redundant parameters and difficulties of estimation found in the former ARCH model by Engle (1982) [8].

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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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