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Titlebook: Big Data Technologies and Applications; 7th International Co Jason J. Jung,Pankoo Kim Conference proceedings 2017 ICST Institute for Comput

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21#
發(fā)表于 2025-3-25 03:51:37 | 只看該作者
978-3-319-58966-4ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
22#
發(fā)表于 2025-3-25 11:04:05 | 只看該作者
Big Data Technologies and Applications978-3-319-58967-1Series ISSN 1867-8211 Series E-ISSN 1867-822X
23#
發(fā)表于 2025-3-25 13:06:27 | 只看該作者
Handling Uncertainty in Clustering Art-Exhibition Visiting Styles from the interaction of visitors of a museum with a complex Internet of Things (IoT) framework. We model this data as a set of uncertain objects, and cluster them by employing the well-established UK-medoids algorithm. Results show that clustering accuracy is positively impacted when data uncertainty is taken into account.
24#
發(fā)表于 2025-3-25 18:34:03 | 只看該作者
Multi-level Steganography Based on Fuzzy Vault Systems and Secret Sharing Techniques, the secret can be decoded correctly in a number of ways. Therefore the main objective of this paper is to propose a system in which some users may hide additional shared secret in an inconspicuous manner.
25#
發(fā)表于 2025-3-25 22:20:23 | 只看該作者
26#
發(fā)表于 2025-3-26 01:27:27 | 只看該作者
27#
發(fā)表于 2025-3-26 07:29:31 | 只看該作者
1867-8211 ata, DiHuBiDa 2016.. The 17 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering..978-3-319-58966-4978-3-319-58967-1Series ISSN 1867-8211 Series E-ISSN 1867-822X
28#
發(fā)表于 2025-3-26 12:13:13 | 只看該作者
29#
發(fā)表于 2025-3-26 14:38:54 | 只看該作者
1867-8211 data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016.? BDTA 2016 was collocated with the First International Workshop on Internet of Things, Social Network, and Security in Big Data, ISSB 2016 and the First International Workshop on Digital Humanity with Big D
30#
發(fā)表于 2025-3-26 18:43:20 | 只看該作者
Classes of Convolutional Codes and Encodersods have shown some unsatisfactorily in dynamic changing of multimedia contents such as the character’s relationships over time. For overcoming this issue, we proposed a novel method for extracting dynamic character network from a movie.
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