By Tetsuya Mizutani, Yuki Shinagawa, Naoki Murakami, Shigeru Igarashi (auth.), Jingsheng Lei, Fu Lee Wang, Hepu Deng, Duoqian Miao (eds.)
This quantity complaints includes revised chosen papers from the 4th foreign convention on man made Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. the complete of 163 top of the range papers offered have been conscientiously reviewed and chosen from 724 submissions. The papers are geared up into topical sections on functions of synthetic intelligence, functions of computational intelligence, facts mining and data discovery, evolution approach, professional and choice help platforms, fuzzy computation, info defense, clever keep an eye on, clever snapshot processing, clever details fusion, clever sign processing, laptop studying, neural computation, neural networks, particle swarm optimization, and trend recognition.
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Extra info for Artificial Intelligence and Computational Intelligence: 4th International Conference, AICI 2012, Chengdu, China, October 26-28, 2012. Proceedings
A quantum particle swarm optimizer with chaotic mutation operator. Chaos, Solitons and Fractals 37, 1409–1418 (2008) 4. : Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28(4), 459–471 (2007) 5. : Decision fusion system for fault diagnosis of elevator traction machine. Journal of Mechanical Science and Technology 22(1), 85–95 (2008) 6. : Multi-agent Decision fusion for motor fault diagnosis. Mechanical Systems and Signal Processing (21), 1285–1299 (2007) 7.
Hawtin is reported to achieve a gain of more than 7 percent in the first quarter of the year of 2012. Large banks and funds in Wall Street also have been using this technique to make profit according the report of . Analyzing hundreds of millions of posts is a big data problem. (2) Another challenge is that how we can process the huge volume of data timely which may span a long time period. It is likely that we will get new insights that we don’t know before from the big data, which would be exciting.
Secondly, within-subjects experimental design was applied to test kansei image, usability, and user’s satisfaction. Finally, association rule and decision tree were utilized to mine the experimental data so as to discover the rules hidden in the data. A case study of mobile phones was conducted based on the proposed method. The results suggest that there is a significant relationship between kansei and usability which together influence user’s satisfaction with product. This approach can provide designers with useful suggestions and solutions for product design.