Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 407-410.doi: 10.11896/j.issn.1002-137X.2017.11A.086
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WU Jun and WANG Chun-zhi
| [1] http://www.ibm.com. [2] http://www.google.com. [3] KUMAR A,NIU F,R C.Hazy:making it easier to build and maintain big-data analytics[J].Communications of the ACM,2013,56(3):40-49. [4] GUO P,WANG K,LUO A L,et al.Computational Intelligence for Big Data Analysis:Current Status and Future Prospect[J].Journal of Software,2015,6(11):3010-3025. [5] BENNETT P,GILES L,HALEVY A,et al.Channeling the de-luge:research challenges for big data and information systems[C]∥Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management.ACM,2013:2537-2538. [6] LU C W,HSIEH C M,CHANG C H,et al.An Improvement to Data Service in Cloud Computing with Content Sensitive Tran-saction Analysis and Adaptation[C]∥2013 IEEE 37th Annual Computer Software and Applications Conference Workshops.2013:463-468. [7] YANG Q.Big data,lifelong machine learning and transfer lear-ning[C]∥Proceedings of the Sixth ACM International Confe-rence on Web Search and Data Mining.ACM,2013:505-506. [8] ORDONEZ C.Can we analyze big data inside a DBMS[C]∥Proceedings of the Sixteenth International Workshop on Data Warehousing and OLAP.ACM,2013:85-92. [9] NGUYEN D,VO B.Mining Class-Association Rules with Constraints[M]∥Knowledge and Systems Engineering.Springer International Publishing,2014:307-318. [10] 李志杰,李元香,王峰,等.面向大数据分析的在线学习算法综述[J].计算机研究与发展,2015,52(8):1707-1721. [11] 张蕾,章毅.大数据分析的无限深度神经网络方法[J].计算机研究与发展,2016,53(1):68-79. [12] 罗军舟,王兴伟,尹浩.大数据驱动网络科学研究专题前言[J].计算机研究与发展,2015,52(4):777-782. [13] 陈世敏.大数据分析与高速数据更新[J].计算机研究与发展,2015,52(2):333-342. [14] 王文剑,于剑,高阳.面向大数据的人工智能技术专题前言[J].计算机研究与发展,2015,52(8):1705-1706. [15] 孟小峰,杜治娟.大数据融合研究:问题与挑战[J].计算机研究与发展,2016,53(2):231-246. [16] AGRAWAL R,SRIKANT R.Fast Algorithms for Mining Association Rules in Large Databases[C]∥Proceedings of the 20th International Conference on Very Large Data Bases.Morgan Kaufmann,1994:487-499. [17] HAN J W,KOPERSKI K.Discovery of spatial association rules in geographic information databases[C]∥Proceedings of the 4th International Symposium on Advances in Spatial Databases,Maine.USA,1995:47-66. [18] HOUTSMA M,SWAMI A.Set-oriented mining for association rules in relational databases[C]∥Proceedings of the Eleventh International Conference on Data Engineering.1995:25-33. [19] CHEN C,YAN X F,ZHU F D,et al.Graph OLAP:a multi-dimensional framework for graph data analysis[J].Knowledge and Information Systems,2009,21(1):41-63. [20] 何清,李宁,罗文娟,等.大数据下的机器学习算法综述[J].模式识别与人工智能,2014,7(4):327-337. [21] 沈斌,姚敏.一种新的动态关联规则及其挖掘算法[J].控制与决策,2009,24(9):1310-1315. [22] 李玲娟,张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,21(2):43-46. [23] 杨勇,王伟.一种基于 MapReduce 的并行 FP-growth 算法[J].重庆邮电大学学报(自然科学版),2013,25(5):651-659. [24] BOUKOUVALA F,DUBEY A,et al.Computational Approa-ches for Studying the Granular Dynamics of Continuous Blen-ding Processes,2-Population Balance and Data-Based Methods[J].Macromolecular Materials and Engineering,2013,297(1):9-19. [25] LIN T Y.Granular computing[M]∥Rough Sets,Fuzzy Sets,Data Mining,and Granular Computing.Springer Berlin Heidelberg,2003:16-24. [26] ZADEH L A.Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic[J].Fuzzy Sets System,1997,90(2):111-127. [27] PAWLAK Z.Rough sets[J].International Journal of Computer and Science,1982,11:341-356. [28] 张铃,张钹.模糊商空间理论(模糊粒度计算方法)[J].软件学报,2003,14(4):770-776. [29] 徐计,王国胤,于洪.基于粒计算的大数据处理[J].计算机学报,2014,7(11):1-22. [30] 王国胤,张清华.不同知识粒度下粗糙集的不确定性研究[J].计算机学报,2008,1(9):1588-1598. [31] YAO Y.Perspectives of granular computing[C]∥2005 IEEE International Conference on Granular Computing.2005:85-90. [32] YAO Y Y.Granular computing:basic issues and possible solutions[C]∥Proceedings of the Fifth Joint Conference on Information Sciences.2000:186-189.[32]张清华,王国胤,胡军.多粒度知识获取与不确定性度量[M].北京:科学出版社,2013. [33] 苗夺谦,王国胤,刘清.粒计算:过去、现在与展望[M].北京:科学出版社,2007. [34] 王国胤,李德毅,姚一豫,等.云模型与粒计算[M].北京:科学出版社,2012. [35] 张钹,张铃.粒计算未来发展方向探讨[J].重庆邮电大学学报(自然科学版),2010(5):538-540. [36] 钟珞,吴珺.粒度计算在数据仓库挖掘中的应用[J].华中师范大学学报(自然科学版),2009,43(3):392-395. |
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