Titlebook: Database Systems for Advanced Applications; DASFAA 2017 Internat Zhifeng Bao,Goce Trajcevski,Wen Hua Conference proceedings 2017 Springer I

Conducive

Conference proceedings 2017ty Management, BDQM 2017; the 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017; and the First International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017..

加花粗鄙人

0302-9743 nd International Workshop on Big Data Quality Management, BDQM 2017; the 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017; and the First International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017..978-3-319-55704-5978-3-319-55705-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

intricacy

Restenosis

A Partitioning Scheme for Big Dynamic Treesr, after our tree encoding scheme designed for the partitioning is described, some problems caused in the encoding are addressed and their countermeasure is presented. Finally, an implemented prototype system is described and evaluated.

Arresting

漂白

LFLogging: A Latch-Free Logging Scheme for PCM-Based Big Data Management Systems logging. We conduct trace-driven experiments on the TPC-C benchmark to measure the performance of our proposal. The results show that LFLogging achieves up to 4~5X improvement in system throughput than existing approaches including WAL and PCMLogging.

CORD

Adaptive Bayesian Network Structure Learning from Big Datasetsfast structure learning. Then, ABNL feeds the data partition to different learning algorithms to obtain a collection of BN Structures. Lastly, ABNL adaptively chooses the structures and merge them into a final network structure using an ensemble method. Experimental results on four big datasets show

茁壯成長(zhǎng)

Astigmatism

https://doi.org/10.1007/978-981-99-4965-6 represented as vector space model (VSM) using TF-IDF after words segmentation. To improve performance, we construct a set of judicial stop words. Besides, as TF-IDF generates a high dimensional feature vector, which leads to an extremely high time complexity, we utilize three dimensional reduction

誘導(dǎo)

William S. Peters,Vadim Belenkyr, after our tree encoding scheme designed for the partitioning is described, some problems caused in the encoding are addressed and their countermeasure is presented. Finally, an implemented prototype system is described and evaluated.