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Volumn 6935 LNCS, Issue , 2011, Pages 685-689

Improved sampling for triangle counting with MapReduce

Author keywords

Data Mining; Hadoop; MapReduce; Sampling; Triangle Counting

Indexed keywords

COUNTING PROBLEMS; DATA MINING APPLICATIONS; HADOOP; MAP-REDUCE; NUMBER OF TRIANGLES; REAL-WORLD GRAPHS; TRIANGLE COUNTING;

EID: 80054059720     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24082-9_83     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
    • 0034830284 scopus 로고    scopus 로고
    • Fast computation of low rank matrix approximation
    • Achlioptas, D., McSherry, F.: Fast computation of low rank matrix approximation. In: STOC (2001)
    • (2001) STOC
    • Achlioptas, D.1    McSherry, F.2
  • 6
    • 85030321143 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Dean, J., Ghemawat, S.: Mapreduce: Simplified data processing on large clusters. In: OSDI (2004)
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 7
    • 26844503695 scopus 로고    scopus 로고
    • New streaming algorithms for counting triangles in graphs
    • Computing and Combinatorics: 11th Annual International Conference, COCOON 2005. Proceedings
    • Jowhari, H., Ghodsi, M.: New streaming algorithms for counting triangles in graphs. In: Wang, L. (ed.) COCOON 2005. LNCS, vol. 3595, pp. 710-716. Springer, Heidelberg (2005) (Pubitemid 41450248)
    • (2005) Lecture Notes in Computer Science , vol.3595 , pp. 710-716
    • Jowhari, H.1    Ghodsi, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.