메뉴 건너뛰기




Volumn , Issue 9781447148654, 2013, Pages 243-259

Scaling up data mining techniques to large datasets using parallel and distributed processing

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84880175047     PISSN: 16103947     EISSN: 21978441     Source Type: Book Series    
DOI: 10.1007/978-1-4471-4866-1_16     Document Type: Chapter
Times cited : (10)

References (55)
  • 5
    • 0008779286 scopus 로고    scopus 로고
    • Automatic induction of classification rules from examples using N-prism
    • Springer, Cambridge
    • Bramer, M.A.: Automatic induction of classification rules from examples using N-prism. In: Research and Development in Intelligent Systems XVI, pp. 99–121. Springer, Cambridge (2000)
    • (2000) Research and Development in Intelligent Systems XVI , pp. 99-121
    • Bramer, M.A.1
  • 6
    • 8844251019 scopus 로고    scopus 로고
    • An information-theoretic approach to the pre-pruning of classification rules
    • Neumann, B., Musen, M., Studer, R. (eds.), Kluwer Academic, Dordrecht
    • Bramer, M.A.: An information-theoretic approach to the pre-pruning of classification rules. In: Neumann, B., Musen, M., Studer, R. (eds.) Intelligent Information Processing, pp. 201–212. Kluwer Academic, Dordrecht (2002)
    • (2002) Intelligent Information Processing , pp. 201-212
    • Bramer, M.A.1
  • 10
    • 0024103809 scopus 로고
    • PRISM: An algorithm for inducing modular rules
    • Cendrowska, J.: PRISM: an algorithm for inducing modular rules. Int. J. Man-Mach. Stud. 27(4), 349–370 (1987)
    • (1987) Int. J. Man-Mach. Stud. , vol.27 , Issue.4 , pp. 349-370
    • Cendrowska, J.1
  • 12
    • 56049109090 scopus 로고    scopus 로고
    • Map-reduce for machine learning on multicore
    • Schölkopf, B., Platt, J.C., Hoffman, T. (eds.), MIT Press, Cambridge
    • Chu, C.T., Kim, S.K., Lin, Y.A., Yu, Y., Bradski, G.R., Ng, A.Y., Olukotun, K.: Map-reduce for machine learning on multicore. In: Schölkopf, B., Platt, J.C., Hoffman, T. (eds.) NIPS, pp. 281–288. MIT Press, Cambridge (2006)
    • (2006) NIPS , pp. 281-288
    • Chu, C.T.1    Kim, S.K.2    Lin, Y.A.3    Yu, Y.4    Bradski, G.R.5    Ng, A.Y.6    Olukotun, K.7
  • 13
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P., Niblett, T.: The CN2 induction algorithm. Mach. Learn. 3(4), 261–283 (1989)
    • (1989) Mach. Learn. , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 16
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. Commun. ACM 51, 107–113 (2008)
    • (2008) Commun. ACM , vol.51 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 17
    • 65549139674 scopus 로고    scopus 로고
    • Data stream mining using granularity-based approach. Found
    • Gaber, M.: Data stream mining using granularity-based approach. Found. Comput. Intell. 6, 47–66 (2009)
    • (2009) Comput. Intell , vol.6 , pp. 47-66
    • Gaber, M.1
  • 18
    • 63649088643 scopus 로고    scopus 로고
    • Foundations of adaptive data stream mining for mobile and embedded applications
    • IEEE, Piscataway
    • Gaber, M.: Foundations of adaptive data stream mining for mobile and embedded applications. In: Cairo International Biomedical Engineering Conference. CIBEC 2008, December, pp. 1–6. IEEE, Piscataway (2008). doi:10.1109/CIBEC.2008.4786099
    • (2008) Cairo International Biomedical Engineering Conference. CIBEC 2008, December , pp. 1-6
    • Gaber, M.1
  • 19
    • 70449632256 scopus 로고    scopus 로고
    • An analytical study of central and in-network data processing for wireless sensor networks
    • Gaber, M.M., Röhm, U., Herink, K.: An analytical study of central and in-network data processing for wireless sensor networks. Inf. Process. Lett. 110(2), 62–70 (2009)
    • (2009) Inf. Process. Lett. , vol.110 , Issue.2 , pp. 62-70
    • Gaber, M.M.1    Röhm, U.2    Herink, K.3
  • 20
    • 33846312507 scopus 로고    scopus 로고
    • A holistic approach for resource-aware adaptive data stream mining
    • Gaber, M.M., Yu, P.S.: A holistic approach for resource-aware adaptive data stream mining. New Gener. Comput. 25(1), 95–115 (2006)
    • (2006) New Gener. Comput. , vol.25 , Issue.1 , pp. 95-115
    • Gaber, M.M.1    Yu, P.S.2
  • 22
    • 84861942209 scopus 로고    scopus 로고
    • The digital universe decade, are you ready?
    • May
    • Gantz, J., Reinsel, D.: The digital universe decade, are you ready? IDC 2009(May), 1–16 (2010)
    • (2010) IDC 2009 , pp. 1-16
    • Gantz, J.1    Reinsel, D.2
  • 26
    • 84886717683 scopus 로고    scopus 로고
    • Parallel data mining techniques on graphics processing unit with compute unified device architecture (Cuda)
    • Jian, L., Wang, C., Liu, Y., Liang, S., Yi, W., Shi, Y.: Parallel data mining techniques on graphics processing unit with compute unified device architecture (cuda). J. Supercomput., pp. 1–26. doi:10.1007/s11227-011-0672-7
    • J. Supercomput , pp. 1-26
    • Jian, L.1    Wang, C.2    Liu, Y.3    Liang, S.4    Yi, W.5    Shi, Y.6
  • 29
    • 33947418491 scopus 로고    scopus 로고
    • Guest editors’ introduction: Distributed data mining– framework and implementations
    • Kumar, A., Kantardzic, M., Madden, S.: Guest editors’ introduction: distributed data mining– framework and implementations. IEEE Internet Comput. 10(4), 15–17 (2006)
    • (2006) IEEE Internet Comput , vol.10 , Issue.4 , pp. 15-17
    • Kumar, A.1    Kantardzic, M.2    Madden, S.3
  • 31
    • 33748467269 scopus 로고    scopus 로고
    • Distributed data mining in grid computing environments
    • Luo, P., Lü, K., Shi, Z., He, Q.: Distributed data mining in grid computing environments. Future Gener. Comput. Syst. 23(1), 84–91 (2007)
    • (2007) Future Gener. Comput. Syst. , vol.23 , Issue.1 , pp. 84-91
    • Luo, P.1    Lü, K.2    Shi, Z.3    He, Q.4
  • 33
    • 77955032649 scopus 로고    scopus 로고
    • Planet: Massively parallel learning of tree ensembles with mapreduce
    • Panda, B., Herbach, J.S., Basu, S., Bayardo, R.J.: Planet: massively parallel learning of tree ensembles with mapreduce. Proc. VLDB Endow. 2, 1426–1437 (2009)
    • (2009) Proc. VLDB Endow. , vol.2 , pp. 1426-1437
    • Panda, B.1    Herbach, J.S.2    Basu, S.3    Bayardo, R.J.4
  • 36
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, R.J.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)
    • (1986) Mach. Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.J.1
  • 40
    • 0029725135 scopus 로고    scopus 로고
    • The eyes have it: A task by data type taxonomy for information visualizations
    • IEEE Comput. Soc., Washington
    • Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of the 1996 IEEE Symposium on Visual Languages, VL ’96, pp. 336– 343. IEEE Comput. Soc., Washington (1996)
    • (1996) Proceedings of the 1996 IEEE Symposium on Visual Languages, VL ’96 , pp. 336-343
    • Shneiderman, B.1
  • 43
    • 84887875430 scopus 로고    scopus 로고
    • Scaling up classification rule induction through parallel processing
    • in press
    • Stahl, F., Bramer, M.: Scaling up classification rule induction through parallel processing. Knowl. Eng. Rev. doi:10.1017/S0269888912000355 in press
    • Knowl. Eng. Rev.
    • Stahl, F.1    Bramer, M.2
  • 46
    • 84866513770 scopus 로고    scopus 로고
    • Computationally efficient induction of classification rules with the pmcri and j-pmcri frameworks
    • Stahl, F., Bramer, M.: Computationally efficient induction of classification rules with the pmcri and j-pmcri frameworks. In: Knowledge-Based Systems (2012)
    • (2012) Knowledge-Based Systems
    • Stahl, F.1    Bramer, M.2
  • 51
    • 84866503800 scopus 로고    scopus 로고
    • The Evolving Universe
    • Szalay, A.: The Evolving Universe. ASSL, vol. 231 (1998)
    • (1998) ASSL , vol.231
    • Szalay, A.1
  • 54
    • 79955898908 scopus 로고    scopus 로고
    • Improved parallel processing function for high-performance large-scale astronomical cross-matching
    • Zhao, Q., Sun, J., Yu, C., Xiao, J., Cui, C., Zhang, X.: Improved parallel processing function for high-performance large-scale astronomical cross-matching.Transact.Tianjin Univ. 17, 62– 67 (2011)
    • (2011) Transact.Tianjin Univ. , vol.17 , pp. 62-67
    • Zhao, Q.1    Sun, J.2    Yu, C.3    Xiao, J.4    Cui, C.5    Zhang, X.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.