Titlebook: Big Data; 7th CCF Conference, Hai Jin,Xuemin Lin,Yihua Huang Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artificia

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laceration

A Distributed Scheduling Framework of Service Based ETL Processis, the amount of data involved and the distance of the node network which service involved, which can reduce the network overhead and improve execution efficiency. Finally, the effectiveness of the proposed method is verified by experimental comparison.

Feature

oncologist

Predicting Friendship Using a Unified Probability Modelty respectively. The experimental results on four data sets including spatial data sets (Gowalla and Weeplaces) and temporal data sets (Higgs Twitter Data set, High school Call Data set) show that our model works as expected.

dysphagia

儲備

THE

A Novel Distributed Duration-Aware LSTM for Large Scale Sequential Data Analysiserform the easier and concurrent linear calculations in parallel. Different from the physical division in model parallelism, the logical split based on hidden neurons can greatly reduce the communication overhead which is a major bottleneck in distributed training. We evaluate the effectiveness of t

fastness

Antioxidant

Distributed Subgraph Matching Privacy Preserving Method for Dynamic Social Network. The experiments show that the above methods are effective in dealing with large scale social network graph problem and these methods can effectively solve the problem of privacy leakage of subgraph matching.

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