Conducive 发表于 2025-3-25 05:01:31
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 发表于 2025-3-25 08:05:39
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 1611-3349intricacy 发表于 2025-3-25 13:57:54
http://reply.papertrans.cn/27/2635/263432/263432_23.pngRestenosis 发表于 2025-3-25 17:39:22
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 发表于 2025-3-25 20:30:50
http://reply.papertrans.cn/27/2635/263432/263432_25.png漂白 发表于 2025-3-26 03:41:59
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 发表于 2025-3-26 05:41:22
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茁壮成长 发表于 2025-3-26 09:37:40
http://reply.papertrans.cn/27/2635/263432/263432_28.pngAstigmatism 发表于 2025-3-26 12:50:10
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诱导 发表于 2025-3-26 17:03:21
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.