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Mayer-Schnberger V, Cukier K. Big data: A Revolution That Will Transform How We Live, Work, and Think[M]. Houghton Mifflin Harcourt, 2013.
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孟小峰, 慈祥. 大数据管理: 概念、技术与挑战[J]. 计算机研究已发展, 2013, 50(1): 146-169.Meng X F, Ci X. Big data management: Concepts, techniques and challenges[J]. Journal of Computer Research and Development, 2013, 50(1): 146-169.
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石绥祥, 雷波. 中国数字海洋: 理论与实践[M]. 北京: 海洋出版社, 2011.
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Liu Xiansan, Zhang Xin, Chi Tianhe, et al. Study on China digital ocean prototype system[C]// Proceedings of the 2009 WRI World Congress. Piscataway, USA: IEEE Press, 2009: 466-469.
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周项敏, 王国仁. 基于关键位的高维空间划分策略[J]. 软件学报, 2004, 15(9): 1361-1374.Zhou Xi M, Wang G R. Key dimension based high-dimensional data partition strategy[J]. Journal of Software, 2004, 15(9): 1361-1374.
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黄冬梅, 杜艳玲, 贺琪. 混合云存储中海洋大数据迁移算法的研究[J]. 计算机研究与发展, 2014, 51(1): 199-205.Huang D M, Du Y L, He Q. Migration algorithm for big marine data in hybrid cloud storage[J]. Journal of Integrative Plant Biology, 2014, 50(1): 199-205.
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Ren P, Liu W, Sun D, et al. Partition-based data cube storage and parallel queries for cloud computing[C]// Proceedings of the 9th International Conference on Natural Computation. Shengyang, China: IEEE Press, 2013: 1183-1187.
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Selvakumar C, Rathanam G J, Sumalatha M R. PDDS-Improving cloud data storage security using data partitioning technique[C]// Proceedings of the 3rd IEEE International Advance Computing Conference. Ghaziabad, India: IEEE Press, 2013: 7-11.
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赵丹枫, 金顺福, 刘国华, 等. DAS模型下基于查询概率的密文索引技术[J]. 燕山大学学报, 2008, 32(6): 477-482.Zhao D F, Jin S F, Liu G H, et al. A cryptograph index technology based on query probability in DAS model[J]. Journal of Yanshan University, 2008, 32(6): 477-482.
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韩蕾, 孙徐湛, 吴志川, 等. MapReduce上基于抽样的数据划分最优化研究[J]. 计算机研究与发展, 2013, 50(S): 77-84.Han L, Sun X Z, Wu Z C, et al. Optimization Study on sample based partition on MapReduce[J]. Journal of Computer Research and Development, 2013, 50(S): 77-84.
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Fox A, Eichelberger C, Hughes J, et al. Spatio-temporal indexing in non-relational distributed databases[C]// Proceeding of IEEE Conference on Big Data. Silicon Valley, IEEE Press, 2013: 291-299.
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Stantic B, Terry J, Topor R, et al. Indexing temporal data with virtual structure[C]// Proceedings of the 14th east European Conference on Advances in Databases and Information Systems. Springer, 2010: 591-594.
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Zhong Y Q, Fang J Y, Zhao X F. VegaIndexer: A Distributed composite index scheme for big spatio-temporal sensor data on cloud[C]// Proceedings of the IEEE Conference on Geoscience and Remote Sensing Symposium. Melbourne, Australia: IEEE Press, 2013: 1713-1716.
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Chen S, Ooi B C, Tan K L, et al. ST2B-tree: A self-tunable spatio-temporal b+-tree index for moving objects[C]// Proceeding of Conference on ACM Special Interest Group Conference on Management Of Data. Vancouver, Canada: IEEE Press, 2008: 29-42.
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Goil S, Nagesh H, Choudhary A. MAFIA: Efficient and scalable subspace clustering for very large data sets[C]// Proceedings of SIGKDD on Data Mining. San Diego: IEEE Press, 1999: 443-452.
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Kaufmann M, Amiri A, Vagenas P, et al., Timeline index: A unified data structure for processing queries on temporal data[C]// Proceedings of the ACM SIGMODInternational Conference on Management of Data. New York, USA: ACM Press, 2013:1173-1184.
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Chen S, Mario A, et al: ST2B-tree: a self-tunable spatio-temporal b+-tree index for moving objects. SIGMOD 2008:29-42.)
|
[1] |
Mayer-Schnberger V, Cukier K. Big data: A Revolution That Will Transform How We Live, Work, and Think[M]. Houghton Mifflin Harcourt, 2013.
|
[2] |
孟小峰, 慈祥. 大数据管理: 概念、技术与挑战[J]. 计算机研究已发展, 2013, 50(1): 146-169.Meng X F, Ci X. Big data management: Concepts, techniques and challenges[J]. Journal of Computer Research and Development, 2013, 50(1): 146-169.
|
[3] |
石绥祥, 雷波. 中国数字海洋: 理论与实践[M]. 北京: 海洋出版社, 2011.
|
[4] |
Liu Xiansan, Zhang Xin, Chi Tianhe, et al. Study on China digital ocean prototype system[C]// Proceedings of the 2009 WRI World Congress. Piscataway, USA: IEEE Press, 2009: 466-469.
|
[5] |
周项敏, 王国仁. 基于关键位的高维空间划分策略[J]. 软件学报, 2004, 15(9): 1361-1374.Zhou Xi M, Wang G R. Key dimension based high-dimensional data partition strategy[J]. Journal of Software, 2004, 15(9): 1361-1374.
|
[6] |
黄冬梅, 杜艳玲, 贺琪. 混合云存储中海洋大数据迁移算法的研究[J]. 计算机研究与发展, 2014, 51(1): 199-205.Huang D M, Du Y L, He Q. Migration algorithm for big marine data in hybrid cloud storage[J]. Journal of Integrative Plant Biology, 2014, 50(1): 199-205.
|
[7] |
Ren P, Liu W, Sun D, et al. Partition-based data cube storage and parallel queries for cloud computing[C]// Proceedings of the 9th International Conference on Natural Computation. Shengyang, China: IEEE Press, 2013: 1183-1187.
|
[8] |
Selvakumar C, Rathanam G J, Sumalatha M R. PDDS-Improving cloud data storage security using data partitioning technique[C]// Proceedings of the 3rd IEEE International Advance Computing Conference. Ghaziabad, India: IEEE Press, 2013: 7-11.
|
[9] |
赵丹枫, 金顺福, 刘国华, 等. DAS模型下基于查询概率的密文索引技术[J]. 燕山大学学报, 2008, 32(6): 477-482.Zhao D F, Jin S F, Liu G H, et al. A cryptograph index technology based on query probability in DAS model[J]. Journal of Yanshan University, 2008, 32(6): 477-482.
|
[10] |
韩蕾, 孙徐湛, 吴志川, 等. MapReduce上基于抽样的数据划分最优化研究[J]. 计算机研究与发展, 2013, 50(S): 77-84.Han L, Sun X Z, Wu Z C, et al. Optimization Study on sample based partition on MapReduce[J]. Journal of Computer Research and Development, 2013, 50(S): 77-84.
|
[11] |
Fox A, Eichelberger C, Hughes J, et al. Spatio-temporal indexing in non-relational distributed databases[C]// Proceeding of IEEE Conference on Big Data. Silicon Valley, IEEE Press, 2013: 291-299.
|
[12] |
Stantic B, Terry J, Topor R, et al. Indexing temporal data with virtual structure[C]// Proceedings of the 14th east European Conference on Advances in Databases and Information Systems. Springer, 2010: 591-594.
|
[13] |
Zhong Y Q, Fang J Y, Zhao X F. VegaIndexer: A Distributed composite index scheme for big spatio-temporal sensor data on cloud[C]// Proceedings of the IEEE Conference on Geoscience and Remote Sensing Symposium. Melbourne, Australia: IEEE Press, 2013: 1713-1716.
|
[14] |
Chen S, Ooi B C, Tan K L, et al. ST2B-tree: A self-tunable spatio-temporal b+-tree index for moving objects[C]// Proceeding of Conference on ACM Special Interest Group Conference on Management Of Data. Vancouver, Canada: IEEE Press, 2008: 29-42.
|
[15] |
Goil S, Nagesh H, Choudhary A. MAFIA: Efficient and scalable subspace clustering for very large data sets[C]// Proceedings of SIGKDD on Data Mining. San Diego: IEEE Press, 1999: 443-452.
|
[16] |
Kaufmann M, Amiri A, Vagenas P, et al., Timeline index: A unified data structure for processing queries on temporal data[C]// Proceedings of the ACM SIGMODInternational Conference on Management of Data. New York, USA: ACM Press, 2013:1173-1184.
|
[17] |
Chen S, Mario A, et al: ST2B-tree: a self-tunable spatio-temporal b+-tree index for moving objects. SIGMOD 2008:29-42.)
|