By Atsuko K. Yamazaki, Kaoru Eto, Akane Nakabayashi, Hitomi Shimada (auth.), Jeffrey W. Tweedale, Lakhmi C. Jain (eds.)
This ebook constitutes the completely refereed court cases of the sixteenth foreign convention on Knowledge-Based clever info and Engineering platforms, KES 2012, held in San Sebastian, Spain, in September 2012. The 21 revised papers have been rigorously reviewed and chosen from 254 submissions. issues of curiosity contain the exploitation of AI options, most up-to-date examine in info applied sciences and dynamic ontologies.
Read or Download Advanced Techniques for Knowledge Engineering and Innovative Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers PDF
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Additional info for Advanced Techniques for Knowledge Engineering and Innovative Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers
The Morgan Kaufmann Series in Data Management Systems (2011) Extracting Market Trends from the Cross Correlation between Stock Time Series Mieko Tanaka-Yamawaki1, X. Yang, T. Kido, and A. jp Abstract. In this paper, the RMT-PCA is applied on daily-close stock prices of American Stocks in NYSE for 16 years from 1994 to 2009 to show the effectiveness and consistency of this method by analyzing the whole data of 16 years at once, as well as analyzing the cut data in various lengths between 2-8 years.
They are also shown graphically in Figs. 7 and 8. Procedure 1: Term extraction by morphological analysis and co-occurrence (Fig. 7) 1. First, textual data are classified by morphological analysis. 2. 5. 3. Terms are selected that have a high co-occurrence rate for “WiMAX”. Since blogs contain several long sentences, terms that have a high co-occurrence rate for WiMAX are selected to check whether the sentences descriptions are concerned with WiMAX or not. 5. Here, the Tvalue means whether the term has a relation to a specific topic/keyword, and is calculated in Eq.
This paper is organized as follows. After introduction, the methodology of RMTPCA is summarized in Section 2. The result of daily-close prices of American stocks in the database of S&P500 for 16 years from 1994 to 2009 is shown in Section 3. The result of tickwise price data of Tokyo Stock Market from 2007 to 2009 is given in Section 4, in order to study quarterly trends of the market and attempt to clarify the remaining two technical problems of this algorithm. Then Section 5 is devoted to discuss remaining problems of this methodology.
Advanced Techniques for Knowledge Engineering and Innovative Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers by Atsuko K. Yamazaki, Kaoru Eto, Akane Nakabayashi, Hitomi Shimada (auth.), Jeffrey W. Tweedale, Lakhmi C. Jain (eds.)