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Volumn 1, Issue , 2010, Pages 98-101

DBSCALE: An efficient density-based clustering algorithm for data mining in large databases

Author keywords

Data clustering; Data mining; Density based clustering algorithm

Indexed keywords

A-DENSITY; BOUNDARY OBJECTS; CENTRIFUGAL FORCES; CORRECTNESS RATES; DATA CLUSTERING; DATA POINTS; DENSITY-BASED CLUSTERING ALGORITHMS; EXECUTION TIME; LARGE DATABASE; NEIGHBOR SEARCHING; NOISE DATA; SEED SELECTION;

EID: 78650350682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACCS.2010.5627040     Document Type: Conference Paper
Times cited : (10)

References (5)
  • 3
    • 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
  • 4
    • 37849047432 scopus 로고    scopus 로고
    • ANGEL: A new effective and efficient hybrid clustering technique for large databases
    • Tsai, C.F., Yen, C.C.: ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases. In: Lecture Notes in Artificial Intelligence, Vol. 4426, 2007, pp. 817-824.
    • (2007) Lecture Notes in Artificial Intelligence , vol.4426 , pp. 817-824
    • Tsai, C.F.1    Yen, C.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.