Titlebook: Big-Data Analytics and Cloud Computing; Theory, Algorithms a Marcello Trovati,Richard Hill,Lu Liu Book 2015 Springer International Publishi

新字

AGOG

https://doi.org/10.1007/978-1-4612-5671-7ion extracted is subsequently combined with expert knowledge, as well as experimental data, to provide a robust, scalable and accurate system. The evaluation clearly shows a high accuracy rate, namely, 92.6?%, as well as transparency of the system, which is a remarkable improvement with respect to the current research in the field.

揉雜

craving

Multimedia Big Data: Content Analysis and Retrievalmine recent developments on deep learning which has produced promising results in large-scale multimedia processing and retrieval. Overall the focus has been on empirical studies rather than the theoretical so as to highlight the most practically successful recent developments and highlight the associated caveats or lessons learned.

Airtight

dragon

GLADE

Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle of the retrieved twitter data. Data in Twitter, which have been processed, can be considered as a new input for route calculations and updates. This data will be fed into KF models for further processing to produce a new arrival time estimation.

乳汁

Data Science and Big Data Analytics at Career Buildersed job title taxonomy discovery component that facilitates discovering more fine-grained job titles than the ones in the industry standard occupation taxonomy. We then describe CARBi, a system for developing and deploying Big Data applications for understanding and improving job-resume dynamics. CA

biopsy

Two Case Studies Based on Large Unstructured Setsking of network structures from data sets. In: Proceedings of CISIS, Birmingham, pp?331–337, 2014) and Trovati (Int J Distrib Syst Technol, 2015, in press), whose results clearly indicate the reliability and efficiency of this type of approach when addressing large unstructured datasets. This is par

榨取

An Overview of Some Theoretical Topological Aspects of Big Data