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Volumn 21, Issue 1, 2009, Pages 41-63

Graph OLAP: A multi-dimensional framework for graph data analysis

Author keywords

Discovery driven analysis; Efficient computation; Graph OLAP; Multi dimensional model

Indexed keywords

COMPLEX NETWORKS; DATA WAREHOUSES; GEOMETRY; GRAPHIC METHODS; INFORMATION ANALYSIS; SEA ICE; SEMANTICS;

EID: 70349972757     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-009-0228-9     Document Type: Article
Times cited : (71)

References (31)
  • 1
    • 33846617291 scopus 로고    scopus 로고
    • Topolayout: Multilevel graph layout by topological features
    • Archambault D, Munzner T, Auber D (2007) Topolayout: Multilevel graph layout by topological features. IEEE Trans Vis Comput Graph 13(2):305-317
    • (2007) IEEE Trans Vis Comput Graph , vol.13 , Issue.2 , pp. 305-317
    • Archambault, D.1    Munzner, T.2    Auber, D.3
  • 2
    • 0008707038 scopus 로고    scopus 로고
    • Bottom-up computation of sparse and iceberg cubes
    • Beyer KS, Ramakrishnan R (1999) Bottom-up computation of sparse and iceberg cubes. In: SIGMOD Conference, pp 359-370
    • (1999) SIGMOD Conference , pp. 359-370
    • Beyer, K.S.1    Ramakrishnan, R.2
  • 3
    • 19944376183 scopus 로고    scopus 로고
    • The WebGraph framework I: Compression techniques
    • Boldi P, Vigna S (2004) The WebGraph framework I: Compression techniques. In: WWW, pp 595-602
    • (2004) WWW , pp. 595-602
    • Boldi, P.1    Vigna, S.2
  • 4
    • 33745790274 scopus 로고    scopus 로고
    • Graph mining: Laws, generators, and algorithms
    • Chakrabarti D, Faloutsos C (2006) Graph mining: Laws, generators, and algorithms. ACM Comput Surv 38(1)
    • (2006) ACM Comput Surv , vol.38 , Issue.1
    • Chakrabarti, D.1    Faloutsos, C.2
  • 5
    • 47249145217 scopus 로고    scopus 로고
    • Discovering correlated spatio-temporal changes in evolving graphs
    • Chan J, Bailey J, Leckie C (2008) Discovering correlated spatio-temporal changes in evolving graphs. Knowl Inf Syst 16(1):53-96
    • (2008) Knowl Inf Syst , vol.16 , Issue.1 , pp. 53-96
    • Chan, J.1    Bailey, J.2    Leckie, C.3
  • 6
    • 34547803269 scopus 로고    scopus 로고
    • Summarization - Compressing data into an informative representation
    • Chandola V, Kumar V (2007) Summarization - compressing data into an informative representation. Knowl Inf Syst 12(3):355-378
    • (2007) Knowl Inf Syst , vol.12 , Issue.3 , pp. 355-378
    • Chandola, V.1    Kumar, V.2
  • 7
    • 0344811122 scopus 로고    scopus 로고
    • An overview of data warehousing and olap technology
    • Chaudhuri S, Dayal U (1997) An overview of data warehousing and olap technology. SIGMOD Record 26(1):65-74
    • (1997) SIGMOD Record , vol.26 , Issue.1 , pp. 65-74
    • Chaudhuri, S.1    Dayal, U.2
  • 10
    • 33745630997 scopus 로고    scopus 로고
    • Discovering large dense subgraphs in massive graphs
    • Gibson D, Kumar R, Tomkins A (2005) Discovering large dense subgraphs in massive graphs. In: VLDB, pp 721-732
    • (2005) VLDB , pp. 721-732
    • Gibson, D.1    Kumar, R.2    Tomkins, A.3
  • 13
    • 0033872934 scopus 로고    scopus 로고
    • Graph visualization and navigation in information visualization: A survey
    • Herman I, Melanãon G, Marshall MS (2000) Graph visualization and navigation in information visualization: A survey. IEEE Trans Vis Comput Graph 6(1):24-43
    • (2000) IEEE Trans Vis Comput Graph , vol.6 , Issue.1 , pp. 24-43
    • Herman, I.1    Melanãon, G.2    Marshall, M.S.3
  • 14
    • 12244255360 scopus 로고    scopus 로고
    • Mining the space of graph properties
    • Jeh G, Widom J (2004) Mining the space of graph properties. In: KDD, pp 187-196
    • (2004) KDD , pp. 187-196
    • Jeh, G.1    Widom, J.2
  • 15
    • 65449153304 scopus 로고    scopus 로고
    • The structure of information pathways in a social communication network
    • Kossinets G, Kleinberg JM, Watts DJ (2008) The structure of information pathways in a social communication network. In: KDD, pp 435-443
    • (2008) KDD , pp. 435-443
    • Kossinets, G.1    Kleinberg, J.M.2    Watts, D.J.3
  • 16
    • 32344436210 scopus 로고    scopus 로고
    • Graphs over time: Densification laws, shrinking diameters and possible explanations
    • Leskovec J, Kleinberg JM, Faloutsos C (2005) Graphs over time: densification laws, shrinking diameters and possible explanations. In: KDD, pp 177-187
    • (2005) KDD , pp. 177-187
    • Leskovec, J.1    Kleinberg, J.M.2    Faloutsos, C.3
  • 17
    • 85089824260 scopus 로고    scopus 로고
    • High-dimensional olap: A minimal cubing approach
    • Li X, Han J, Gonzalez H (2004) High-dimensional olap: A minimal cubing approach. In: VLDB, pp 528-539
    • (2004) VLDB , pp. 528-539
    • Li, X.1    Han, J.2    Gonzalez, H.3
  • 20
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng AY, Jordan MI, Weiss Y (2001) On spectral clustering: Analysis and an algorithm. In: NIPS, pp 849-856
    • (2001) NIPS , pp. 849-856
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 21
    • 0032092760 scopus 로고    scopus 로고
    • Exploratory mining and pruning optimizations of constrained association rules
    • Ng RT, Lakshmanan LVS, Han J, Pang A (1998) Exploratory mining and pruning optimizations of constrained association rules. In: SIGMOD Conference, pp 13-24
    • (1998) SIGMOD Conference , pp. 13-24
    • Ng, R.T.1    Lakshmanan, L.V.S.2    Han, J.3    Pang, A.4
  • 22
    • 0344927784 scopus 로고    scopus 로고
    • Representing web graphs
    • Raghavan S, Garcia-Molina H (2003) Representing web graphs. In: ICDE, pp 405-416
    • (2003) ICDE , pp. 405-416
    • Raghavan, S.1    Garcia-Molina, H.2
  • 23
    • 84890506262 scopus 로고    scopus 로고
    • Discovery-driven exploration of olap data cubes
    • Sarawagi S, Agrawal R, Megiddo N (1998) Discovery-driven exploration of olap data cubes. In: EDBT, pp 168-182
    • (1998) EDBT , pp. 168-182
    • Sarawagi, S.1    Agrawal, R.2    Megiddo, N.3
  • 25
    • 45249126392 scopus 로고
    • Rethinking centrality: Methods and examples
    • Stephenson K, Zelen M (1989) Rethinking centrality: Methods and examples. Soc Netw 11(1):1-37
    • (1989) Soc Netw , vol.11 , Issue.1 , pp. 1-37
    • Stephenson, K.1    Zelen, M.2
  • 26
    • 70349121194 scopus 로고    scopus 로고
    • Rankclus: Integrating clustering with ranking for heterogeneous information network analysis
    • Sun Y, Han J, Zhao P, Yin Z, Cheng H, Wu T (2009) Rankclus: Integrating clustering with ranking for heterogeneous information network analysis. In: EDBT, pp 565-576
    • (2009) EDBT , pp. 565-576
    • Sun, Y.1    Han, J.2    Zhao, P.3    Yin, Z.4    Cheng, H.5    Wu, T.6
  • 27
  • 29
    • 12244258501 scopus 로고    scopus 로고
    • Mining scale-free networks using geodesic clustering
    • Wu AY, Garland M, Han J (2004) Mining scale-free networks using geodesic clustering. In: KDD, pp 719-724
    • (2004) KDD , pp. 719-724
    • Wu, A.Y.1    Garland, M.2    Han, J.3
  • 31
    • 0031162046 scopus 로고    scopus 로고
    • An array-based algorithm for simultaneous multidimensional aggregates
    • Zhao Y, Deshpande P, Naughton JF (1997) An array-based algorithm for simultaneous multidimensional aggregates. In: SIGMOD conference, pp 159-170
    • (1997) SIGMOD Conference , pp. 159-170
    • Zhao, Y.1    Deshpande, P.2    Naughton, J.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.