超大METOC数据集中的时空知识发现

2010 Fourth International Conference on Network and System Security Pub Date : 2010-09-01 DOI:10.1109/NSS.2010.61

D. Marks, Elias Ioup, J. Sample, M. Abdelguerfi, Fady Qaddoura

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引用次数: 1

摘要

使用先进的位图索引，开发了一个系统，允许有效地处理和查看存储在网络通用数据格式(netted)文件中的密集METOC数据集。提出了一种网状数据提取和位图索引创建的方法。实现了高效的地理空间范围和伪knn查询。一种两步过滤算法极大地提高了这些地理空间查询的速度，允许对网状数据进行极其有效的处理。

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Spatio-temporal Knowledge Discovery in Very Large METOC Data Sets

A system allowing for the efficient processing and viewing of dense METOC data sets stored in Network Common Data Format (netted) files is developed using advanced bitmap indexing. A method for netted data extraction and bitmap index creation is presented. Efficient geospatial range and pseudo-KNN queries are implemented. A two step filtering algorithm is shown to greatly enhance the speed of these geospatial queries, allowing for extremely efficient processing of the netted data.

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来源期刊

2010 Fourth International Conference on Network and System Security

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