By Atsuko K. Yamazaki, Kaoru Eto, Akane Nakabayashi, Hitomi Shimada (auth.), Jeffrey W. Tweedale, Lakhmi C. Jain (eds.)

ISBN-10: 3642420168

ISBN-13: 9783642420160

This ebook constitutes the completely refereed court cases of the sixteenth foreign convention on Knowledge-Based clever details and Engineering structures, KES 2012, held in San Sebastian, Spain, in September 2012. The 21 revised papers have been conscientiously reviewed and chosen from 254 submissions. subject matters of curiosity contain the exploitation of AI thoughts, newest examine in details applied sciences and dynamic ontologies.

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Extra resources for Advanced Techniques for Knowledge Engineering and Innovative Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers

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8 shows the result of this scenario for all the largest ten eigenstates. 6 Conclusion and Discussion In this paper, it has shown the result of applying the RMT-PCA on 30 minutes traded prices of 4 quarters each in three years from 2007 to 2009 of Tokyo Market, and compared the result on daily data in sixteen years from 1994 to 2009 of S&P. By analyzing the size distribution of the N components of the first four eigenvectors, the authors found that only the second eigenvector u2 has a useful feature for the Extracting Market Trends from the Cross Correlation between Stock Time Series 37 sake of extracting the trendy industrial sectors from their collective modes, formed independently in the positive parts and the negative pas of the components.

First, it focuses a related structure about the question and response of the loss aversion utterances, and proposes about the index which shows them by definition. Next, it describes the extraction method of them by using that index. 1 The Trouble Sentence Probability and the Expected Value by Using N-gram Since a loss aversion utterance is accompanied by a decision-making situation in many cases, it basically appears in a reply sentence instead of a questioning one. A certain issue is highlighted in a question statement, and a loss aversion expression tends to appear in the subject of the solution to the problem.

8. Trendy sectors in the positive and the negative sectors extracted as collective modes of u2 , obtained from 30 minutes price time series in 2007-2009. The numbers in each bar are the codes of sectors shown in Table 3. The authors thus focus on the second largest eigenvalue λ2 and its eigenvector u2 , which exhibits a certain trend that changes from time to time. Moreover, as shown in the second row of Fig. 4, the positive components aggregate to form a certain collective mode by their internal attractive force, and the negative components do the same, so that both + and - components individually form their own collective modes, which represent temporary trend of active sectors in the market.

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