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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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發(fā)表于 2025-3-23 13:46:49 | 只看該作者
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發(fā)表于 2025-3-23 16:29:26 | 只看該作者
Considering User Distribution and Cost Awareness to Optimize Server Deploymentsults show that the proposed method can find better solution to place the edge micro datacenter (MDC) compared with the state-of-art server deployment strategies in terms of latency for applications and utilization of resources.
13#
發(fā)表于 2025-3-23 22:07:06 | 只看該作者
Minimum Spanning Tree Clustering Based on Density Filteringe results of which show that the algorithm is able to detect clusters with arbitrary shape and it is insensitive to the imbalance of density between clusters. It has achieved great results on multiple data sets.
14#
發(fā)表于 2025-3-24 01:25:13 | 只看該作者
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發(fā)表于 2025-3-24 04:51:12 | 只看該作者
16#
發(fā)表于 2025-3-24 08:06:19 | 只看該作者
A Constrained Self-adaptive Sparse Combination Representation Method for Abnormal Event Detectionsed a constrained self-adaptive sparse combination representation (CSCR). The spatio-temporal video volumes low-level features, which be stacked with multi-scale pyramid, can extract features effectively. The CSCR strategy is robust to learn dictionary and detect abnormal behaviors. Experiments on t
17#
發(fā)表于 2025-3-24 10:54:37 | 只看該作者
A Distributed Scheduling Framework of Service Based ETL Processwarehouse construction and data integration. Aiming at improving scheduling and execution efficiency of service based ETL process, this paper proposes a distributed scheduling and execution framework for ETL process and a corresponding method. Firstly, add different weights to the ETL process to ens
18#
發(fā)表于 2025-3-24 15:34:35 | 只看該作者
19#
發(fā)表于 2025-3-24 19:17:18 | 只看該作者
Inferring How Novice Students Learn to Code: Integrating Automated Program Repair with Cognitive Modprogramming on MOOCs is a challenging task. To solve this challenge, we build a novel Intelligent Programming Tutor (IPT) which integrates the Automated Program Repair (APR) and student cognitive model. We improve an efficient APR engine, which can not only obtain repair results but also identify th
20#
發(fā)表于 2025-3-25 02:51:29 | 只看該作者
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