Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 380-383.doi: 10.11896/j.issn.1002-137X.2016.6A.090
Previous Articles Next Articles
HAI Mo
| [1] Manyika J,Chui M,Brown B,et al.Big data:The Next Frontier for Innovation,Competition,and Productivity[R].McKinsey Global Institute,2011 [2] Fahad A,Alshatri N,Tari Z,et al.A Survey of Clustering Algorithms for Big Data:Taxonomy & Empirical Analysis[J].IEEE Transactions on Emerging Topics in Computing,2014,2(3):1 [3] Ayed A B,Halima M B,Alimi M.Survey on clustering me-thods:Towards fuzzy clustering for Big Data[C]∥6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).IEEE,2014:331-336 [4] Sherin A,Uma S,Saranya K,et al.Survey On Big Data Mining Platforms,Algorithms And Challenges[J].International Journal of Computer Science & Engineering Technology,2014,5(9):854-862 [5] Arora S,Chana I.A survey of clustering techniques for Big Data analysis[C]∥5th International Conference Confluence The Next Generation Information Technology Summit (Conflue-nce).IEEE,2014:59-65 [6] Nagpal P B,Mann P A.Survey of Density Based Clustering Algorithms[J].International Journal of Computer Science and its Applications,2011,1(1):313-317 [7] Xu R,Wunsch D.Survey of clustering algorithms,Neural Networks[J].IEEE Transactions,2005,6(3):645-678 [8] Yadav C,Wang S,Kumar M.Algorithm and approaches to handle large Data-A Survey[J].Eprint Arxiv,2013,1-363(3):1117-1181 [9] Shirkhorshidi A S,Aghabozorgi S,Wah T Y,et al.Big Data Clus-tering:A Review[M]∥Computational Science and Its Applications(ICCSA 2014).Springer International Publishing, 2014:707-720 [10] Wu X,Zhu X,Wu G Q,et al.Data mining with Big Data[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107 [11] Aggarwal C C,Reddy C K.Data Classification:Algorithms and Applications[C]∥CRC Press.2014 [12] Vadgasiya M G,Jagani J M.An enhanced algorithm for im-proved cluster generation to remove outlier’s ratio for large datasets in data mining[P].Development,2014 [13] Ng R T,Han J.CLARANS:A method for clustering objects for spatial data mining[J].IEEE Trans.Knowl.Data Eng.,2002,14(5):1003-1016 [14] Kaufman L,Rousseeuw P J.Finding Groups in Data:An Introduction on Cluster Analysis[M].John Wiley and Sons,1990 [15] Ng R T,Han J.CLARANS:A method for clustering objects for spatial data mining[J].IEEE Trans.Knowl.Data Eng.,2002,4(5):1003-1016 [16] Zhang T,Ramakrishnan R,Livny M.BIRCH:An efficient data clustering method for very large database[C]∥SIGMOD Conference.1996:103-114 [17] Zhang T,Ramakrishnan R,Livny M.BIRCH:An efficient data clustering method for very large database[C]∥SIGMOD Conference.1996:103-114 [18] Guha S,Rastogi R.CURE:An efficient clustering algorithm for large database[J].Inf.Syst.,2001,26(1):35-58 [19] Bu F,Chen Z,Zhang Q,et al.Incomplete Big Data Clustering Algorithm Using Feature Selection and Partial Distance[C]∥5th International Conference on Digital Home (ICDH).IEEE, 2014:263-266 [20] Kim B J.A Classifier for Big Data[M]∥Convergence and Hybrid Information Technology.Springer Berlin Heidelberg,2012:505-512 [21] Dhillon I S,Modha D S.A data-clustering algorithm on distributed memory multiprocessors[M]∥Large-Scale Parallel Data Mining.Springer Berlin Heidelberg.2000:245-260 [22] Stoffel K,Belkoniene A.Parallel k/h-means clustering for large data sets[M]∥Euro-Par’99 Parallel Processing.Springer Berlin Heidelberg,1999:1451-1454 [23] Nagesh H S,Goil S,Choudhary A.A scalable parallel subspace clustering algorithm for massive data sets[C]∥International Conference on Parallel Processing,2000.IEEE,2000:477-484 [24] Ng M K,H Zhe-xue.A Parallel k-Prototypes Algorithm forClustering Large Data Sets in Data Mining[J].Intelligent Data Engineering and Learning,1999:263-290 [25] Davidson I,Satyanarayana A.Speeding up k-means clustering by bootstrap averaging[J].IEEE Data Mining Workshop on Clustering Large Data Sets,2003,133(12):982-992 [26] Farnstrom F,Lewis J,Elkan C.Scalability for clustering algorithms revisited[J].ACM SIGKDD Explorations Newsletter,2000,2(1):51-57 [27] Domingos P,Hulten G.A general method for scaling up machine learning algorithms and its application to clustering[C]∥ICML.2001:106-113 [28] Cui X,Zhu P,Yang X,et al.Optimized Big Data K-means clustering using MapReduce[J].The Journal of Supercomputing,2014,70(3):1249-1259 [29] Zhao Y,Chen Y,Liang Z,et al.Big Data Processing with Probabilistic Latent Semantic Analysis on MapReduce [C]∥International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.2014:162-166 [30] Younghoon K,Kyuseok S,Min-Soeng K,et al.DBCUREMR:An efficient density-based clustering algorithm for large data using MapReduce[J].Information Systems,2014,42:15-35 [31] Jianqiang D,Fei W,Bo Y.Accelerating BIRCH for clustering large scale streaming data using CUDA dynamic parallelism[M].Intelligent Data Engineering and Automated Learning-IDEAL 2013.Springer Berlin Heidelberg,2013:409-416 |
| No related articles found! |
|
||
Home