Titlebook: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Kn; 13th International C Stanisław Koziel

Irremediable

前面

John Macbeath,Lejf Moos,Kathryn Rileysupport in Cassandra, our algorithm can span multiple data partitions and provides tunable contention control. We verified correctness and efficiency both theoretically and by executing tests over different workloads. The results presented in this paper prove the usability and robustness of the designed system.

Complement

Multi-partition Distributed Transactions over Cassandra-Like Database with Tunable Contention Controsupport in Cassandra, our algorithm can span multiple data partitions and provides tunable contention control. We verified correctness and efficiency both theoretically and by executing tests over different workloads. The results presented in this paper prove the usability and robustness of the designed system.

不近人情

厌烦

https://doi.org/10.1007/978-1-4020-5281-1ttribute and namespace while predicates are not implemented in our prototype. We present our implemented system, data, measurements, tests, and results. The evaluated results support our belief that our method significantly decreases data transfers in the distributed system that occur during the query evaluation.

蛰伏

疏远天际

Andy Hargreaves,Ann Lieberman,David Hopkinsnces. It received 88 questions from users and provided answers. After improving the formalization method, the second system was tested with the same set of sentences and questions. The paper presents the results of the testing, the comparison of answers received from both systems and the analysis of correctness of the answers received.

atopic

Thomas Kellaghan,Daniel L. Stufflebeam used in the clustering process and future efficiency levels of the knowledge mined from such structures: some parameters guarantee to produce shorter/longer representatives of the created rules clusters as well as smaller/greater clusters’ sizes.

职业拳击手

Parley

John Macbeath,Lejf Moos,Kathryn Rileyal model. Nowadays this idea becomes again up-to-date because of the growing popularity of NoSQL movement and polyglot persistence. This article attempts to show the state-of-the-art in multi-model databases area and possibilities of this reconditioned idea.