灾害大数据与智慧城市应急处理
上QQ阅读APP看本书,新人免费读10天
设备和账号都新为新人

本章参考文献

[1] 佚名.大数据时代的挑战与思考[EB/OL].[2018-04-28]. https://wenku.baidu.com/view/81726b86a8956bec0875e355.html.

[2] Comparative Review of Social Media Analysis Tools for Preparedness [EB/OL].[2019-4-5]. https://preparecenter.org/activity/gdpc-research-activities/comparative-review-social-media-analysis-tools-preparedness/.

[3]Dufty N. Using social media to build community disaster resilience[J]. Australian Journal of Emergency Management, 2012, 27(1): 40.

[4] 江苏盐城响水一化工企业发生爆炸[Z/OL].[2019-07-19]. https://tv.cctv.com/2019/03/21/VIDEkbB0eZrDAp12Iye5BGzU190321.shtml.

[5] 地震科学数据 数据分类与编码[EB/OL].[2019-07-19]. https://data.earthquake.cn/sjgxbz/index.html.

[6] Tohalino J V, Amancio D R. Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks[C]//The 2017 Brazilian Conference on Intelligent Systems, Uberlandia: IEEE, 2017: 366-371.

[7] Agre G H, Mahajan N V.Keyword focused web crawler[C]//The 2015 International Conference on Electronics and Communication Systems.Coimbatore: IEEE, 2015.

[8] Li M, Li C, Wu C, et al.A Focused Crawler URL Analysis Algorithm based on Semantic Content and Link Clustering in Cloud Environment[J]. International Journal of Grid & Distributed Computing, 2015, 8(2): 49-60.

[9] Singh B, Gupta D K, Singh R M.Improved Architecture of Focused Crawler on the basis of Content and Link Analysis[J]. International Journal of Modern Education & Computer Science, 2017, 9(11): 33-40.

[10] 刘家益,邹益民.近70年文本自动摘要研究综述[J].情报科学,2017,35(7):154-161.

[11] Nallapati R, Zhou B, Santos C N D, et al. Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond[C]//Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, 2016.

[12] Salton G, Wong A;Yang C S.A vector space model for automatic indexing[J].Communications of the ACM, 1975, 18(11): 613-620.

[13] Liu X.Automatic summarization method based on compound word recognition[J].Journal of Computational Information Systems, 2015, 11(6): 2257-2268.

[14] Xu G X, Yao H S, Wang C.Research on multi-feature fusion algorithm for subject words extraction and summary generation of text[J].Cluster Computing, 2017, 12(1): 1-13.

[15] 佚名.云存储[EB/OL].[2019-3-12]. https://baike.baidu.com/view/2044736.html.

[16] 邓见光,潘晓衡,袁华强.云存储及其分布式文件系统的研究[J].东莞理工学院学报,2012,19(5):41-46.

[17] 刘鹏.云计算[M].3版.北京:电子工业出版社,2015.

[18] 余秦勇,陈林,童斌.一种无中心的云存储架构分析[J].通信技术,2012,45(8):123-126,130.

[19] 张华.Openstack Swift原理、架构与API介绍[EB/OL].(2013-10-24)[2018-12-20]. https://www.ibm.com/developerworks/cn/cloud/library/1310_zhanghua_openstackswift/.

[20] 吴吉义,傅建庆,平玲娣,等.一种对等结构的云存储系统研究[J].电子学报,2011(5):1100-1107.

[21] Maymounkov P, Mazières D. Kademlia: A Peer-to-Peer Information System Based on the XOR Metric[C]//Proceedings of the 1st International Workshop on Peer-to-Peer Systems (IPTPS). Cambridge, USA: Springer, 2002: 53-65.

[22] 常倩.基于云存储和P2P的资料同步存储技术的研究[D].合肥:安徽大学,2015.

[23] Stoica I, Morris R, Karger D, et al.Chord: A Scalable Peer-To-Peer Lookup Service for Internet Applications[C]//Proceedings of the ACM SIGCOMM'01 Conference. New York, 2001: 149-160.

[24] 王挺,吴晓军,张玉梅.基于遗传算法的双向搜索Chord算法[J].计算机应用研究,2016(1):46-49.

[25] Tan P N, Steinback M, Kumar V.Introduction to Data Mining[J].Intelligent Systems Reference Library, 2006, 22(6): 753-754.

[26] 杨东华,李宁宁,王宏志,等.基于任务合并的并行大数据清洗过程优化[J].计算机学报,2016(1):97-108.

[27] 崇卫之.数据预处理机制的研究与系统构建[D].南京:南京邮电大学,2018.

[28] Han J,Kamber M,Pei J.数据挖掘概念与技术[M].范明,孟小峰,译.3版.北京:机械工业出版社,2012.

[29] Knorr E M, Ng R T, Tucakov V.Distance Based Outliers: Algorithms and Applications[J].VLDB Journal, 2000, 8(3): 237-253.

[30] 薛安荣,鞠时光,何伟华,等.局部离群点挖掘算法研究[J].计算机学报,2007,30(8):1455-1463.

[31] 王惠中,彭安群.数据挖掘研究现状及发展趋势[J].工矿自动化,2011(2):33-36.

[32] Google Flu Trends[EB/OL].[2018-12-21]. https://www.google.org/flutrends.

[33] Han J,Kamber M.数据挖掘概念与技术[M].范明,孟小峰,译.北京:机械工业出版社,2001.

[34] 陕粉丽.数据挖掘技术的研究现状及应用[J].现代企业教育,2008(6):101-102.

[35] Quinlan J R.Induction of Decision Trees[J].Machine Learning, 1986, 1(1): 8.

[36] Quinlan J R. C4.5: Programs for Machine Learning[M]. San Mateo, CA: Morgan Kaufmann, 1993.

[37] 李华,刘帅,李茂,等.数据挖掘理论及应用研究[J].断块油气田,2010,17(1):88-91.

[38] 任磊,杜一,马帅,等.大数据可视分析综述[J].软件学报,2014(9):1909-1936.

[39] Feng D, Zhu L, Zhang L, et al. Review of hadoop performance optimization[C]//2016 2nd IEEE International Conference on Computer and Communications (ICCC), 2017: 65-68.

[40] Michael M, Moreira J E, Shiloach D, et al. Scale-up x Scale-out: A Case Study using Nutch/Lucene[C]//Parallel and Distributed Processing Symposium, 2007: 1-8.

[41] 孙大为,张广艳,郑纬民.大数据流式计算:关键技术及系统实例[J].软件学报,2014(4):839-862.

[42] 朱群.基于Storm的实时推荐系统的设计与实现[D].西安:西安电子科技大学,2017.

[43] 鲁亮,于炯,卞琛,等.大数据流式计算框架Storm的任务迁移策略[J].计算机研究与发展,2018,55(1):71-92.

[44] 林子雨.大数据技术原理与应用[M].2版.北京:人民邮电出版社,2017.

[45] Zaharia M. An Architecture for Fast and General Data Processing on Large Clusters[M]. San Rafael, CA: Morgan & Claypool, 2016.

[46] 胡楠.面向复杂网络的时序链路预测与局部社团挖掘[D].南京:南京邮电大学,2018.

[47] 崔勇,宋健,缪葱葱,等.移动云计算研究进展与趋势[J].计算机学报,2017,40(2):273-295.

[48] Wang C, Wang Q, Ren K, et al. Toward Secure and Dependable Storage Services in Cloud Computing[J].IEEE Transactions on Services Computing, 2012, 5(2): 220-232.

[49] 张玉清,王晓菲,刘雪峰,等.云计算环境安全综述[J].软件学报,2016,27(6):1328-1348.

[50] Chang V, Kuo Y H, Ramachandran M, et al. Cloud computing adoption framework: A security framework for business clouds[J]. Future Generation Computer Systems, 2016, 57: 24-41.

[51] 杨春春.面向网络数据的定向采集与自动摘要技术的研究[D].南京:南京邮电大学,2018.

[52] 费宁,张浩然.TensorFlow架构与实现机制的研究[J].计算机技术与发展,2019(9):1-5.