Get Cultural Computing: Second IFIP TC 14 Entertainment PDF

By Andrew Chiou (auth.), Ryohei Nakatsu, Naoko Tosa, Fazel Naghdy, Kok Wai Wong, Philippe Codognet (eds.)

ISBN-10: 3642152139

ISBN-13: 9783642152139

ISBN-10: 3642152147

ISBN-13: 9783642152146

Welcome to the second one foreign IFIP leisure Computing Symposium on st Cultural Computing (ECS 2010), which was once a part of the 21 IFIP international laptop Congress, held in Brisbane, Australia in the course of September 21–23, 2010. On behalf of the folks who made this convention ensue, we want to welcome you to this inter- tional occasion. The IFIP global machine Congress has provided a chance for researchers and practitioners to give their findings and study leads to a number of trendy parts of desktop technology and engineering. within the final international desktop Congress, WCC 2008, held in Milan, Italy in September 2008, IFIP introduced a brand new initiative fascinated by all of the appropriate matters pertaining to computing and leisure. As a - sult, the two-day technical application of the 1st leisure Computing Symposium (ECS 2008) supplied a discussion board to deal with, discover and trade details at the cutting-edge of computer-based leisure and allied applied sciences, their layout and use, and their influence on society. according to the good fortune of ECS 2008, at this moment IFIP leisure Computing Symposium (ECS 2010), our problem used to be to target a brand new zone in leisure computing: cultural computing.

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Read Online or Download Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings PDF

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Additional info for Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings

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Cluster Analysis for Personalised Mobile Entertainment Content 39 Zoning-Centroid. The evaluation method called ‘Zoning-Centroid’ is proposed in this paper. The distance from the centre of each cluster should be used to determine the cluster’s members in each cluster, and to ensure that they are appropriately distributed. ‘Zoning-Centroid’ will use the distance between centre of cluster and data to calculate the zone that this data is sought. It measures how far from the centre of this data. The zone will be divided into 5 zones.

This technique is also appropriate with known class or labeled data. Another cluster number determination technique is ‘L 38 W. W. C. Fung method’ [20]. However, this method did not work well with global evaluation metrics and it is unable to work with less number of clusters like 1 or 2 clusters. Labelled clustering data. F-Score has been used in [15] to measure the quality of cluster. However, to measure the cluster analysis, prior information of the cluster is necessary. This problem is similar to Random Index (RI).

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Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings by Andrew Chiou (auth.), Ryohei Nakatsu, Naoko Tosa, Fazel Naghdy, Kok Wai Wong, Philippe Codognet (eds.)


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