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

Nixon

書目名稱Big Data Technologies and Applications影響因子(影響力)




書目名稱Big Data Technologies and Applications影響因子(影響力)學(xué)科排名




書目名稱Big Data Technologies and Applications網(wǎng)絡(luò)公開度




書目名稱Big Data Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Technologies and Applications被引頻次




書目名稱Big Data Technologies and Applications被引頻次學(xué)科排名




書目名稱Big Data Technologies and Applications年度引用




書目名稱Big Data Technologies and Applications年度引用學(xué)科排名




書目名稱Big Data Technologies and Applications讀者反饋




書目名稱Big Data Technologies and Applications讀者反饋學(xué)科排名

使熄滅

https://doi.org/10.1007/978-1-349-15910-9 we solve the max-flow min-cut problem on large random graphs with log-normal distribution of outdegrees using the distributed Edmonds-Karp algorithm. The algorithm is implemented on a cluster using Spark. We compare the runtime between a single machine implementation and cluster implementation and

卡死偷電

convulsion

https://doi.org/10.1007/978-1-4615-2712-1nsor nodes and improves energy efficiency by transmitting the data collected from cluster members by a cluster header to a sink node. Due to the frequency characteristics in a wireless communication environment, interference and collision may occur between neighboring clusters, which may lead causin

Charade

Fixed-Redundancy Error Control Schemes mining algorithms fail to predict rare class, as the class imbalanced data models are inherently built in favor of the majority of class-common characteristics among data instances. In the present paper, we propose the Euclidean distance- and standard deviation-based feature selection and over-samp

吹牛者

Classes of Convolutional Codes and Encodersthods are taken into account movie content analysis using social network for discovering relationships among characters and so on. However, these methods have shown some unsatisfactorily in dynamic changing of multimedia contents such as the character’s relationships over time. For overcoming this i

Ointment

Entirety

Variable-Redundancy Error Control Schemesllect and introduce cultural heritage by geotagged resources were being focused on. The paper aims to deliver a way to collect geotagged cultural heritage resources from social networking services by using the keyword and user’s position (GPS signal) to deliver smart interactions between visitors in

后退

Convolutional Codes and Encodersed from SIFT algorithms and learning stupa description from the generated key points with artificial neural network. Neural network was used for being the classifier for generating the description. We have presented a new approach to feature extraction based on analysis of key points and descriptors

疲勞