Titlebook: Scalable Information Systems; 5th International Co Jason J. Jung,Costin Badica,Attila Kiss Conference proceedings 2015 Institute for Comput

amputation

Link Scheduling for Data Collection in Multichannel Wireless Sensor Networksve and sleep timings to conserve energy and reduce report latency. Recently, some previous works propose to utilize multiple channels to facilitate scheduling. When the network has multiple channels, the report latency can be further reduced since the interferences between transmission pairs can be

harpsichord

inchoate

骂人有污点

Conference proceedings 2015014, held in September 2014 in Seoul, South Korea. The 9 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.

浮雕

1867-8211 n Scalable Information Systems, INFOSCALE 2014, held in September 2014 in Seoul, South Korea. The 9 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.978-3-319-16867

良心

Content-Based Analytics of Diffusion on Social Big Data: A Case Study on Korean Telecommunication Cos (News, Usage, Preview, Notice, Sale, Benefit, Event, Service public relations). These results indicate that the differences are significant for all three types of information content. It shows that firms can spread information more quickly by providing the ‘Information and advertisement’ type rather than the ‘Advertisement’ type.

疲惫的老马

大沟

Real-Time Data Flow Language Processing System for Handling Streams of Datan. Programs written in Pig Latin Stream are translated into distributed stream processing jobs and then the jobs are executed on a highly scalable distributed stream processing system to process large streams of data in real-time.

obligation

Scalable Similarity Search for Big Datas are needed to efficiently execute complex similarity queries possibly in outsourced environments while preserving privacy. Four specific research objectives to tackle the challenges are outlined and discussed. It is believed that a relevant solution of these problems is necessary for a scalable similarity search operating on Big Data.

OCTO

1867-8211 wed and selected from 14 submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.978-3-319-16867-8978-3-319-16868-5Series ISSN 1867-8211 Series E-ISSN 1867-822X