检查 发表于 2025-3-26 21:51:35

SparkSCAN: A Structure Similarity Clustering Algorithm on Spark,d based on Spark framework, which improves the processing performance on the premise of the accuracy of clustering results. The experimental results show that the SparkSCAN have a good performance, and can effectively deal with the problem of clustering algorithm for large-scale directed graph.

Flinch 发表于 2025-3-27 05:05:57

Visual Analysis for Civil Aviation Passenger Reservation Data Characteristics Based on Uncertaintythe visual analysis and uncertainty measure theory combined with parallel coordinates, radar chart, histogram, pixel chart and good interaction. At the same time, the data source expression clearly shows the uncertainty and hidden information as an information base for passengers’ service recommendations.

巧办法 发表于 2025-3-27 05:52:04

Personalized Recommendation System on Hadoop and HBase, database can effectively solve the problem of mass data storage, using the MapReduce programming model of Hadoop platform parallel processing recommendation problem, can significantly improve the efficiency of the algorithm, so as to further improve the performance of personalized recommendation system.

平项山 发表于 2025-3-27 11:27:32

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Recessive 发表于 2025-3-27 16:41:54

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新鲜 发表于 2025-3-27 21:38:27

1865-0929 allelcomputing framework under Big Data; the architecture and basic theory of BigData; collection and preprocessing of Big Data; innovative applications in someareas, such as internet of things and cloud computing..978-981-10-0456-8978-981-10-0457-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

Diluge 发表于 2025-3-28 00:00:11

Space Groups II: International Tables,ying behavior, which to some extent solve a long-span composite purchasing behavior prediction. It shows that this method improves the purchasing behavior prediction accuracy effectively through experiments.

JUST 发表于 2025-3-28 05:00:01

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广大 发表于 2025-3-28 07:20:19

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责难 发表于 2025-3-28 12:58:29

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查看完整版本: Titlebook: Big Data Technology and Applications; First National Confe Wenguang Chen,Guisheng Yin,Zeguang Lu Conference proceedings 2016 Springer Scien