Download Advanced Techniques for Knowledge Engineering and Innovative by Atsuko K. Yamazaki, Kaoru Eto, Akane Nakabayashi, Hitomi PDF

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

This booklet constitutes the completely refereed lawsuits of the sixteenth overseas convention on Knowledge-Based clever details 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 comprise the exploitation of AI innovations, most modern study in info 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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Morphological analysis is mainly applied in these areas to survey trends by analyzing the frequency of terms in selected texts. A keyword is extracted as the topic of a sentence in terms of the features of the network structure [8–12]. Clustering and co-occurrence related methods have been proposed to classify keywords and relate them to synonymous terms, different words having the same meaning, and synonyms, which have similar meanings [13, 14]. Clustering methods based on supervised learning have also been proposed [15–18].

028 ... Note: ‘/’ is a separator of morphemes and ‘+’ means connecting with some words. Utterance, and it serves as an accuracy rate. Recall shows the rate judged correctly with this method in the utterances manually judged to Loss Aversion Utterance. F-measure is a harmonic average of precision and recall, and if F value is high, it means good performance [14]. 80 (2) (3) (4) Figure 2 also shows the accuracy by changing the threshold value C, recall, and F-measure. 6 is an appropriate condition, because it is the best balance between the accuracy, the recall, and the F-measure according to this graph.

Trends of 4 years each are shown. Both in 1994-1997 and 1998-2001, J (Utility) and H (Information Technology) dominance, while A (Energy) and H (Information Technology)dominance in 2002-2005 and A (Energy) and G (Financial) dominance in 2006-2009. 32 M. Tanaka-Yamawaki et al. Fig. 6. The trend change can be observed from J(Utility) and H (Information Technology) dominance towards A (Energy) and G (Financial) dominance. 1994-2001, and the right figure shows the dominance of A (Energy) and G (Financials) during the term 2002-2009.

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