메뉴 건너뛰기




Volumn , Issue , 2014, Pages 419-423

Modification of density based spatial clustering algorithm for large database using Naïve's Bayes' theorem

Author keywords

Data Clustering; Data mining; DBSCAN; Larger Database; Spatial clustering

Indexed keywords

COMMUNICATION SYSTEMS; DATA MINING; DATABASE SYSTEMS; STATISTICS;

EID: 84902596899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSNT.2014.89     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 4
    • 33746257715 scopus 로고    scopus 로고
    • KIDBSCAN: A new efficient data clustering algorithm for data mining in large databases
    • Tsai, C. F., Liu, C. w., KIDBSCAN: A New Efficient Data Clustering Algorithm for Data Mining in Large Databases. In: Lecture Notes in Artificial Intelligence, Vol. 4029, 2006, pp. 702-711.
    • (2006) Lecture Notes in Artificial Intelligence , vol.4029 , pp. 702-711
    • Tsai, C.F.1    Liu, C.W.2
  • 5
    • 84889596929 scopus 로고    scopus 로고
    • A review of density-based clustering in spatial data
    • (ISSN (print): 2249-7277 ISSN (online): 22777970), Issue-5 September
    • Pragati Shrivastava and Hitesh Gupta "A Review of Density-Based clustering in Spatial Data", International Journal of Advanced Computer Research (ISSN (print): 2249-7277 ISSN (online): 22777970) Volume-2 Number-3 Issue-5 September-2012.
    • (2012) International Journal of Advanced Computer Research , vol.2 , Issue.3
    • Shrivastava, P.1    Gupta, H.2
  • 7
    • 84874335030 scopus 로고    scopus 로고
    • A density based algorithm for discovery density varied cluster in large spatial databases
    • June
    • Anant Ram, Sunita Jalal, Anand S. Jalal, Manoj kumar, "A density Based Algorithm for Discovery Density Varied cluster in Large spatial Databases", International Journal of Computer Application Volume 3,No. 6, June 2010.
    • (2010) International Journal of Computer Application , vol.3 , Issue.6
    • Ram, A.1    Jalal, S.2    Jalal, A.S.3    Kumar, M.4
  • 8
    • 84902580459 scopus 로고    scopus 로고
    • A density based clustering technique for large spatial data using polygon approach
    • ISSN: 2278-0661 (Sep-Oct. 2012)
    • Hrishav Bakul Barua, Dhiraj Kumar Das & Sauravjyoti Sarmah "A Density Based Clustering Technique For Large Spatial Data Using Polygon Approach", IOSR Journal of Computer Engineering (IOSRJCE) ISSN: 2278-0661 Volume 3, Issue 6 (Sep-Oct. 2012), PP 01-09.
    • IOSR Journal of Computer Engineering (IOSRJCE) , vol.3 , Issue.6 , pp. 01-09
    • Bakul Barua, H.1    Kumar Das, D.2    Sarmah, S.3
  • 10
    • 84898474393 scopus 로고    scopus 로고
    • Optimizing clustering technique based on partitioning dbscan and ant clustering algorithm
    • ISSN: 2249-8958, December
    • Chaudhari Chaitali G. "Optimizing Clustering Technique based on Partitioning DBSCAN and Ant Clustering Algorithm", International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958, Volume-2, Issue-2, December 2012, pp. 212-215.
    • (2012) International Journal of Engineering and Advanced Technology (IJEAT) , vol.2 , Issue.2 , pp. 212-215
    • Chaudhari, C.G.1
  • 12
    • 26944494130 scopus 로고    scopus 로고
    • An incremental data stream clustering algorithm based on dense units detection
    • J. Gao, J. Li, Z. Zhang, and P.-N. Tan, "An incremental data stream clustering algorithm based on dense units detection", Lecture Notes in Computer Science, vol. 3518, 2005.
    • (2005) Lecture Notes in Computer Science , vol.3518
    • Gao, J.1    Li, J.2    Zhang, Z.3    Tan, P.-N.4
  • 13
    • 0001716846 scopus 로고    scopus 로고
    • Efficiency detecting arbitrary shaped clusters in very large datasets with high dimensions
    • Yu D., Chatterjee S., Sheikholeslami G. and Zhang A., "Efficiency detecting arbitrary shaped clusters in very large datasets with high dimensions", Computer Science Technical Report, pp. 98-08, 1998.
    • (1998) Computer Science Technical Report , pp. 98-08
    • Yu, D.1    Chatterjee, S.2    Sheikholeslami, G.3    Zhang, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.