JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (3): 1-12.doi: 10.13190/j.jbupt.2015.03.001
• Review • Next Articles
Analytics Towards Big Data
GAO Zhi-peng1, NIU Kun2, LIU Jie3
- 1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
3. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
-
Received:
2015-03-27Online:
2015-06-28Published:
2015-06-28
CLC Number:
Cite this article
GAO Zhi-peng, NIU Kun, LIU Jie. Analytics Towards Big Data[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(3): 1-12.
share this article
Add to citation manager EndNote|Ris|BibTeX
URL: https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.03.001
[1] 任磊, 杜一, 马帅, 等. 大数据可视分析综述[J]. 软件学报, 2014, 25(9): 1909-1936. Ren Lei, Du Yi, Ma Shuai, et al. Visual analytics towards big data[J]. Journal of Software, 2014, 25(9): 1909-1936.[2] 维克托·迈尔·舍恩伯格, 肯尼斯·库克耶. 大数据时代[M]. 杭州: 浙江人民出版社, 2012. Viktor M S, Kenneth C. Big data: a revolution that will transform how we live, work and think[M]. Hangzhou: Zhejiang People's Publishing House, 2012.[3] Gantz J, Reinsel D. 2011 digital universe study: extracting vaLue from chaos[M]. IDC Go-to-Market Services, 2011: 1-12.[4] 李学龙, 龚海刚. 大数据系统综述[J]. 中国科学: 信息科学, 2015, 45(1): 1-44. Li Xuelong, Gong Haigang. A survey on big data systems[J]. Science China Information Sciences, 2015, 45(1): 1-44.[5] 陶雪娇, 胡晓峰, 刘洋. 大数据研究综述[J]. 系统仿真学报, 2013, 8(25): 144-145. Tao Xuejiao, Hu Xiaofeng, Liu Yang. Overview of big data research[J]. Journal of System Simulation, 2013, 8(25): 144-145.[6] 孟小峰, 慈祥. 大数据管理: 概念、技术与挑战[J]. 计算机研究与发展, 2013, 50(1): 146-169. Meng Xiaofeng, Ci Xiang. Big data management: concepts, techniques and challenges[J]. Journal of Computer Research and Development, 2013, 50(1): 146-169.[7] 宫夏屹, 李伯虎, 柴旭东, 等. 大数据平台技术综述[J]. 系统仿真学报, 2014, 26(3): 489-496. Gong Xiayi, Li Bohu, Chai Xudong, et al. Survey on big data platform technology[J]. Journal of System Simulation, 2014, 26(3): 489-496.[8] 程学旗, 靳小龙, 王元卓, 等. 大数据系统和分析技术综述[J]. 软件学报, 2014, 25(9): 1889-1908. Cheng Xueqi, Jin Xiaolong, Wang Yuanzhuo, et al. Survey on big data system and analytic technology[J]. Journal of Software, 2014, 25(9): 1889-1908.[9] 覃雄派, 王会举, 杜小勇, 等. 大数据分析——RDBMS与MapReduce的竞争与共生[J]. 软件学报, 2012, 23(1): 32-45. Qin Xiongpai, Wang Huiju, Du Xiaoyong, et al. Big data analysis—competition and symbiosis of RDBMS and MapReduce[J]. Journal of Software, 2012, 23(1): 32-45.[10] 顾君忠. 大数据与大数据分析[J]. 软件产业与工程, 2013(4): 17-21. Gu Junzhong. Big data and big data analysis[J]. Software Industry and Engineering, 2013(4): 17-21.[11] Pirolli P, Card S K. The sensemaking process and leverage points for analyst technology as identified though cognitive task analysis[C]//Maybury M. Proc. of the Int'l Conf. on Intelligence Analysis. MacLean: MITRE, 2005: 1-6.[12] Pirolli P, Card S K. Information foraging in information access environments[C]//Katz I R. Proc. of the CHI. New York: ACM Press, 1995: 51-58.[13] Pirolli P. Information foraging theory: adaptive interaction with information[M]. New York: Oxford University Press, 2007: 31-35.[14] Card S K, Mackinlay J D, Shneiderman B. Readings in information visualization: vsing vision to think[M]. San Francisco: Morgan-Kaufmann Publishers, 1999: 1-712.[15] Green T M, William R, Brian F. Visual analytics for complex concepts using a human cognition model[C]//Grinsten G. Proc. of the VAST. Columbus: IEEE Press, 2008: 91-98.[16] Wunsche B. A survey, classification and analysis of perceptual concepts and their application for the effective visualisation of complex information[C]//Chrucher N, Churcher C. Proc. of the APVIS. Darlinghurst: Australian Computer Society, 2004: 17-24.[17] North C, Chang R, Endert A, et al. Analytic provenance: process+interaction+insight[C]//Tan D. Proc. of the CHI. New York: ACM Press, 2011: 33-36.[18] Shneiderman B. The eyes have it: a task by data type taxonomy for information visualizations[C]//Gershon N. Proc. of the INFOVIS. San Francisco: IEEE Press, 1996: 336-343.[19] Eades P, Huang Maolin. Navigating clustered graphs using force-directed methods[J]. Journal of Graph Algorithms and Applications, 2000, 4(3): 157-181.[20] Brehmer M, Munzner T. A multi-level typology of abstract visualization tasks[J]. IEEE Trans. on Visualization and Computer Graphics, 2013, 19(12): 2376-2385.[21] Keim D, Andrienko G, Fekete J, et al. Visual analytics: definition, process, and challenges[C]//Kerren A. Proc. of the Information Visualization. LNCS 4950. Berlin: Springer-Verlag, 2008: 154-175.[22] Pike W A, Stasko S J, Chang R, et al. The science of interaction[J]. Information Visualization, 2009, 8(4): 263-274.[23] Puerta A, Eisenstein J. Towards a general computational framework for model-based interface development systems[J]. Knowledge-Based Systems, 1999, 12(8): 433-442.[24] Zhao Jian, Chevalier F, Collins C, et al. Facilitating discourse analysis with interactive visualization[J]. IEEE Trans. on Visualization and Computer Graphics, 2012, 18(12): 2639-2648.[25] Collins C, Carpendale S, Penn G. Docuburst: visualizing document content using language structure[J]. Computer Graphics Forum, 2009, 28(3): 1039-1046.[26] Paulovich F V, Minghim R. Hipp: a novel hierarchical point placement strategy and its application to the exploration of document collections[J]. IEEE Trans. on Visualization and Computer Graphics, 2008, 14(6): 1229-1236.[27] Herman I, Melancon G, Marshall M S. Graph visualization and navigation in information visualization: a survey[J]. IEEE Trans. on Visualization and Computer Graphics, 2000, 6(1): 24-43.[28] Shneiderman B. Tree visualization with tree-maps: 2-d spacing-filling approach[J]. ACM Trans. on Graphics, 1992, 11(1): 92-99.[29] Zhang Xiu, Yuan Xiaoru. Treemap visualization[J]. Journal of Computer-Aided Design and Computer Graphics, 2012, 24(9): 1113-1124.[30] Gou Liang, Zhang Xiaolong. Treenetviz: revealing patterns of networks over tree structures[J]. IEEE Trans. on Visualization and Computer Graphics, 2011, 17(12): 2449-2458.[31] Phan D, Lin Xiao, Yeh R, et al. Flow map layout[C]//Andrews K. Proc. of the INFOVIS. Los Alamitos: IEEE Press, 2005: 219-224.[32] Buchin K, Speckmann B, Verbeek K. Flow map layout via spiral trees[J]. IEEE Trans. on Visualization and Computer Graphics, 2011, 17(12): 2536-2544.[33] Scheepens R, Willems N, Wetering V D H, et al. Composite density maps for multivariate trajectories[J]. IEEE Trans. on Visualization and Computer Graphics, 2011, 17(12): 2518-2527.[34] Tobler W. Experiments in migration mapping by computer[J]. The American Cartographer, 1987, 14(2): 155-163.[35] Peuquet D J, Kraak M J. Geobrowsing: creative thinking and knowledge discovery using geographic visualization[J]. Information Visualization, 2002, 1(1): 80-91.[36] Ahlberg C, Shneiderman B. Visual information seeking: tight coupling of dynamic query filters with starfield displays[C]//Beth A, Susan D, Judith O. Proc. of the CHI. New York: ACM Press, 1994: 313-317.[37] Jing Yang, Hubball D, Ward M S, et al. Value and relation display: interactive visual exploration of large data sets with hundreds of dimensions[J]. IEEE Trans. on Visualization and Computer Graphics, 2007, 13(3): 494-507.[38] Inselberg A, Dimsdale B. Parallel coordinates: a tool for visualizing multi-dimensional geometry[C]//Kaufman A. Proc. of the Visualization. San Francisco: IEEE Press, 1990: 361-378.[39] 马斌, 周平, 张建业, 等. 大数据时代的数据挖掘[J]. 中国科技信息, 2014(23): 117-118. Ma Bin, Zhou Ping, Zhang Jianye, et al. Data mining in times of big data[J]. China Science and Technology Information, 2014(23): 117-118.[40] 冯宏亮. 数据挖掘中若干关键算法的研究[D]. 西安: 西安科技大学, 2010. Feng Hongliang. The research on several key algorithms of data mining[D]. Xi'an: Xi'an University of Science and Technology, 2010.[41] 李平荣. 大数据时代的数据挖掘技术与应用[J]. 重庆三峡学院学报, 2014, 30(151): 45-47. Li Pingrong. Data mining technology and its applications in big data era[J]. Journal of Chongqing Three Gorges University, 2014, 30(151): 45-47.[42] Yuan Soetsyr, Chen Yenchuan. Semantic ideation learning for agent-based e-brainstorming[J]. IEEE Transactions on Knowledge and Data Engineering, 2008, 20(2): 261-275.[43] Kimmo L, Anita R, Hannu L. Delphi method analysis: the role of regulation in the mobile operator business in Finland[C]//Technology Management for Global Economic Growth (PICMET), 2010 Proceedings of PICMET'10: IEEE Press, 2010: 1-7.[44] Edi Ka. Unknowable states and choice-based definitions of subjective probabilities[J]. Economics Letters, 2008, 99: 534-536.[45] Zhi Jin, Chen Xiaohong, Didar Z. Performing projection in problem frames using scenarios[C]//Proc. 16th Asia-Pacific Software Engineering Conference: IEEE Press, 2009: 249-256.[46] Togn H. On a threshold model pattern recognition and signal processing[C]//Amsterdam: Sijthoff and Noordhoff Press, 1978: 18-29.[47] Chen Guanglei, Wang Zhaojun. The multivariate partially linear model with b-spline[J]. Chinese Journal of Applied Probability, 2010, 26(2): 138-150.[48] Zhang G P. Time series forecasting using a hybrid ARIMA and neural network mode[J]. Neurocomputing, 2003, 50(5): 159-175.[49] 秦春秀, 祝婷, 赵捧未, 等. 自然语言语义分析研究进展[J]. 图书情报工作, 2014, 58(22): 130-137. Qin Xiuchun, Zhu Ting, Zhao Pengmo, et al. Research review on semantics analysis of natural language[J]. Library and Information Service, 2014, 58(22): 130-137.[50] 赵妍妍, 秦兵, 刘挺. 文本情感分析综述[J]. 软件学报, 2010, 21(8): 1834-1848. Zhao Yanyan, Qin Bing, Liu Ting, et al. Sentiment analysis[J]. Journal of Software, 2010, 21(8): 1834-1848.[51] 唐杰, 梅俏竹. 数据挖掘学科发展研究[A]. 2012—2013控制科学与工程学科发展报. 北京: 中国科学出版社, 2014. Tang Jie, Mei Qiaozhu. Recent advances of data mining in China[A]. 2012—2013 Report on Advances in Control Science and Engineering. Beijing: China Science and Technology Press, 2014.[52] 韩京宇, 徐立臻, 董逸生. 数据质量研究综述[J]. 计算机科学, 2008, 35(2): 1-5, 12. Han Jingyu, Xu Lizhen, Dong Yisheng. An overview of data quality research[J]. Computer Science, 2008, 35(2): 1-5, 12.[53] 王宏志. 大数据质量管理: 问题与研究进展[J]. 科技导报, 2014, 32(34): 78-84. Wang Hongzhi. Big data quality management: problems and progress[J]. Science and Technology Review, 2014, 32(34): 78-84.[54] 韩京宇, 徐立臻, 董逸生. 一种大数据量的相似记录检测方法[J]. 计算机研究与发展, 2005, 42(12): 2206-2212. Han Jingyu, Xu Lizhen, Dong Yisheng. An approach for detecting similar duplicate records of massive data[J]. Journal of Computer Research and Development, 2005, 42(12): 2206-2212.[55] 邱越峰, 田增平. 一种高效的识别相似重复记录的方法[J]. 计算机学报, 2001, 24(1): 69-77. Qiu Yuefeng, Tian Zengping. An efficient approach for detecting approximately duplicate database records[J]. Chinese Journal of Computers, 2001, 24(1): 69-77.[56] Chaud H S, Ganjam K, Ganti V, et al. Robust and efficient fuzzy match for on line data cleaning[C]//Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. San Diego: ACM Press, 2003: 313-324.[57] Grzymala B J, Hu Ming. A comparison of several approaches to missing attribute values in data mining[C]//Proceedings of the Second International Conference on Rough Sets and Current Trends in Computing. Banff: Springer Berlin Heidalberg, 2001: 378-385.[58] Bhattacharya I, Getoor L. Iterative record linkage for cleaning and integration[C]//Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. Maison de la Chimie: ACM Press, 2004: 11-18.[59] Rohrs C E, Berry R A. A linear control approach to explicit rate feedback in ATM networks[C]//Proc. of IEEE in Focom'97. Kode: IEEE Press, 1997: 277-282.[60] Pluempitiwiriyawej C, Hammer J. Element matching across data-oriented XML sources using a multi-strategy clustering model[J]. Data and Knowledge Engineering, 2004, 48(3): 297-333.[61] Zhao Li, Yuan Sungsam, Yang Qixiao, et al. Dynamic similarity for fields with null values[C]//Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery. France: Springer Berlin Heidelberg, 2002: 161-169.[62] Wu Xintao, Barbara D. Modeling and imputation of large incomplete multidimensional data sets[C]//Proceedings of the International Conference on Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2002: 286-295.[63] Neal R M. Probabilistic inference using Markov chain Monte Carlo methods[M]. CRG TR-93-1. Department of Computer Science, University of Toronto, 1993.[64] Hipp J, Guntzer U, Grimmer U. Data quality mining: making a virtue of necessity[C]//In Proc. of the 6th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. New York: ACM Press, 2001: 52-57.[65] Lueebber D, Grimmer U. Systematic development of data miningbased data quality tools[C]//29th VLDB. Berlin: Morgan Kaufmann, 2003: 548-559.[66] Dasu T, Johnson T. Exploratory data mining and data cleaning[M]. Hoboken: John Wiley and Sons, Inc, 2003.[67] Fellegi I P, Holt D. A systematic approach to automatice dit and imputation[J]. Americ Statistics of Association, 1976, 71(353): 17-35.[68] Fan Weigui, Lu Hongjun, Madnick S E, et al. Discovering and reconciling value conflicts for numerical data integration[J]. Information Systems, 2001(26): 635-656.[69] Motro A, Anokhin P, Acar A C. Utility-based resolution of datainconsistencies[C]// IQIS 2004: 35-43.[70] Kaldewey T, Shekita E J, Tata S. Clydesdale: structured data processing on MapReduce[C]//Rundensteiner E A, Markl V, Manolescu I, et al. Proc. of the EDBT 2012. Berlin: ACM Press, 2012: 15.[71] Jindal A, Quiane-Ruiz J A, Dittrich J. Trojan data layouts: right shoes for a running elephant[C]//Chase J S, Abbadi A E, Babu S, et al. Proc. of the SOCC. Cascais: ACM Press, 2011.[72] Neumeyer L, Robbins B, Nair A, et al. S4: distributed stream computing platform[C]//Fan W, Hsu W, Webb G I, et al. Proc. of the ICDM Workshops 2010. Sydney: IEEE Computer Society, 2010: 170-177.[73] Afrati F N, Ullman J D. Optimizing joins in a Map Reduce environment[C]//Manolescu I, Spaccapietra S, Teubner J, et al. Proc. of the EDBT 2010. Lausanne: ACM Internatinoal Conf. Proc. Series, 2010: 99-110.[74] Okcan A, Riedewald M. Processing theta-joins using MapReduce[C]//Sellis T K, Miller R J, Kementsietsidis A, et al. Proc. of the SIGMOD 2011. Athens: ACM Press, 2011: 949-960.[75] Nykiel T, Potamias M, Mishra C, et al. MRShare: sharing across multiple queries in MapReduce[J]. Proc. of the VLDB Endowment, 2010, 3(1-2): 494-505.[76] Roy I, Ramadan H E, Setty S T V, et al. Airavat: security and privacy for MapReduce[C]//Castro M, Snoeren A C. Proc. of the NSDI 2010. San Jose: USENIX Association, 2010: 297-312.[77] Willis L, Jignesh M P. Energy management for MapReduce clusters[J]. Proc. of the VLDB Endowment, 2010, 3(1-2): 129-139.[78] 2015年度大数据发展的十大趋势[J]. 中国有线电视, 2015(1): 100-101. Trends of big data development in 2015[J]. China Digital Cable TV, 2015(1): 100-101. |
[1] | CHANG Xiao, HUANG Zhibin, YU Min, YANG Wubing. A Deep Decision Tree Model for Aerospace Big Data [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(3): 1-6. |
[2] | YAO Jun-liang, XUE Hai-tao, LIU Qing. Daily Water Volume Prediction Algorithm of Urban Smart Water Based on Big Data [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 82-88. |
[3] | XIANG Ying-zhuo, WEI Qiang, YOU Ling. An Information Diffusion Pattern Mining Method Based on Communication Actions [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 83-90. |
[4] | YI Zhi-ling, CUI Chun-feng, HAN Shuang-feng, PAN Cheng-kang, CHEN Ya-mi. Analysis of Key Technologies of 5G-Oriented Cellular Internet of Things [J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41(5): 20-25. |
[5] | ZHANG Si-hai, ZHANG Jian-hua, CHEN Ying, ZHU Jin-kang. Wireless Big Data Enabled Emerging Technologies for Beyond 5G System [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(5): 52-61. |
[6] | LI Fang-wei, NIE Yi-fang, LIU Fan, ZHU Jiang. The Mechanism of Situation Data Fusion Based on Trust in Wireless Sensor Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(5): 71-76. |
[7] | MENG Xiang-wu, JI Wei-yu, ZHANG Yu-jie. A Survey of Recommendation Systems in Big Data [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(2): 1-15. |
[8] | WANG Xiao-jun. Employing Item Attribute and Preference to Enhance the Collaborative Filtering Recommendation [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 68-71,76. |
[9] | FU Yu, YU Yan-hua, SONG Mei-na, ZHAN Xiao-su. A Closed Sequential Pattern Mining Algorithm in Time Order [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(4): 19-22. |
[10] | XIONG Wen, JIN Yao-hong. Hybrid Clustering Using ACO and AHC [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(3): 60-63,78. |
[11] | WANG Zhong-Feng, WANG Zhi-Hai. Equivalent Classed of TAN Classifier Structure and Their Application on Learning Algorithm [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(1): 72-76. |
[12] | . An Approach on Association Patterns Mining in Telecommunication Alarm Database [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2011, 34(2): 85-89. |
[13] | . 〗Design and Performance Analysis of a Parallel Decision Tree Algorithm on Data Mining Grid [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(s1): 49-52. |
[14] | XU Qianfang1 , XIAO Bo2 , GUO Jun1. An Mining Algorithm with Alarm Association Rules Based on Statistical Correlation [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2007, 30(1): 66-70. |
[15] |
GUO Yan-hui1,2, WANG Cong1, ZHONG Yi-xin1 |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||