-
1
-
-
84937390683
-
Massive quasi-clique detection
-
Cancun, Mexico
-
ABELLO, J., RESENDE, M. G., AND SUDARSKY, S. 2002. Massive quasi-clique detection. In Proceedings of the 5th Latin American Symposium on Theoretical Informatics (LATIN) (Cancun, Mexico). 598-612.
-
(2002)
Proceedings of the 5th Latin American Symposium on Theoretical Informatics (LATIN)
, pp. 598-612
-
-
ABELLO, J.1
RESENDE, M.G.2
SUDARSKY, S.3
-
2
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington, D.C
-
AGRAWAL, R., IMIELINSKI, T., AND SWAMI, A. 1993. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) (Washington, D.C.). 207-216.
-
(1993)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 207-216
-
-
AGRAWAL, R.1
IMIELINSKI, T.2
SWAMI, A.3
-
5
-
-
9944263088
-
On structural properties of the market graph
-
A. Nagurney ed. Edward Elgar
-
BOGINSKI, V., BUTENKO, S., AND PARDALOS, P. M. 2004. On structural properties of the market graph. In Innovations in Financial and Economic Networks, A. Nagurney ed. Edward Elgar. 29-45.
-
(2004)
Innovations in Financial and Economic Networks
, pp. 29-45
-
-
BOGINSKI, V.1
BUTENKO, S.2
PARDALOS, P.M.3
-
7
-
-
0031161999
-
Beyond market baskets: Generalizing association rules to correlations
-
Tucson, AZ
-
BRIN, S., MOTWANI, R., AND SILVERSTEIN, C. 1997. Beyond market baskets: Generalizing association rules to correlations. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) (Tucson, AZ). 265-276.
-
(1997)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 265-276
-
-
BRIN, S.1
MOTWANI, R.2
SILVERSTEIN, C.3
-
8
-
-
0033721503
-
Graph structure in the web: Experiments and models
-
Amsterdam, the Netherlands
-
BRODER, A., KUMAR, R., MAGHOUL, F., RAGHAVAN, P., RAJAGOPALAN, S., STATA, R., TOMKINS, A., AND WIENER, J. 2000. Graph structure in the web: Experiments and models. In Proceedings of the 9th International World Wide Web Conference (WWW) (Amsterdam, the Netherlands). 309-320.
-
(2000)
Proceedings of the 9th International World Wide Web Conference (WWW)
, pp. 309-320
-
-
BRODER, A.1
KUMAR, R.2
MAGHOUL, F.3
RAGHAVAN, P.4
RAJAGOPALAN, S.5
STATA, R.6
TOMKINS, A.7
WIENER, J.8
-
9
-
-
84976668743
-
Finding all cliques of an undireced graph
-
BRON, C. AND KERBOSCH, J. 1973. Finding all cliques of an undireced graph. Commun. ACM 16, 9, 575-576.
-
(1973)
Commun. ACM
, vol.16
, Issue.9
, pp. 575-576
-
-
BRON, C.1
KERBOSCH, J.2
-
10
-
-
33749561116
-
Out-of-Core frequent pattern mining on a commodity PC
-
Philadelphia, PA
-
BUEHRER, G., PARTHASARATHY, S., AND GHOTING, A. 2006. Out-of-Core frequent pattern mining on a commodity PC. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD). (Philadelphia, PA) 86-95.
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 86-95
-
-
BUEHRER, G.1
PARTHASARATHY, S.2
GHOTING, A.3
-
11
-
-
84976214389
-
-
CHAKRABARTI, D. AND FALOUTSOS, C. 2006. Graph mining: Laws, generators, and algorithms. ACM Comput. Surv. 38, 1 (Mar.), Article 2.
-
CHAKRABARTI, D. AND FALOUTSOS, C. 2006. Graph mining: Laws, generators, and algorithms. ACM Comput. Surv. 38, 1 (Mar.), Article 2.
-
-
-
-
12
-
-
1142303692
-
D(k)-index: An adaptive structural summary for graph-structured data
-
San Diego, CA
-
CHEN, Q., LIM, A., AND ONG, K. W. 2003. D(k)-index: An adaptive structural summary for graph-structured data. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) (San Diego, CA). 134-144.
-
(2003)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 134-144
-
-
CHEN, Q.1
LIM, A.2
ONG, K.W.3
-
13
-
-
24044517207
-
Frequent subtree mining - An overview
-
CHI, Y., NIJSSEN, S., MUNTZ, R., AND KOK, J. 2005. Frequent subtree mining - An overview. Fundam. Inf. 66, 1-2, 161-198.
-
(2005)
Fundam. Inf
, vol.66
-
-
CHI, Y.1
NIJSSEN, S.2
MUNTZ, R.3
KOK, J.4
-
15
-
-
24344484786
-
Frequent substructure-based approaches for classifying chemical compounds
-
DESHPANDE, M., KURAMOCHI, M., AND WALE, N. 2005. Frequent substructure-based approaches for classifying chemical compounds. IEEE Trans. Knowl. Data Eng. 17, 8, 1036-1050.
-
(2005)
IEEE Trans. Knowl. Data Eng
, vol.17
, Issue.8
, pp. 1036-1050
-
-
DESHPANDE, M.1
KURAMOCHI, M.2
WALE, N.3
-
17
-
-
0026385082
-
Approximating clique is almost NP-complete
-
San Juan, PR
-
FEIGE, U., GOLDWASSER, S., LOVASZ, L., SAFRA, S., AND SZEGEDY, M. 1991. Approximating clique is almost NP-complete. In Proceedings of the 32nd Annual Symposium, on Foundations of Computer Science (FOCS) (San Juan, PR). 2-12.
-
(1991)
Proceedings of the 32nd Annual Symposium, on Foundations of Computer Science (FOCS)
, pp. 2-12
-
-
FEIGE, U.1
GOLDWASSER, S.2
LOVASZ, L.3
SAFRA, S.4
SZEGEDY, M.5
-
18
-
-
0002169158
-
Knowledge discovery in databases - An overview
-
FRAWLEY, W. J., PIATETSKY-SHAPIRO, G., AND MATHEUS, C. J. 1992. Knowledge discovery in databases - An overview. AI Mag. 13, 3, 57-70.
-
(1992)
AI Mag
, vol.13
, Issue.3
, pp. 57-70
-
-
FRAWLEY, W.J.1
PIATETSKY-SHAPIRO, G.2
MATHEUS, C.J.3
-
19
-
-
33749549057
-
A new efficient probabilistic model for mining labeled ordered trees
-
Philadelphia, PA
-
HASHIMOTO, K., AOKI-KINOSHITA, K. F., UEDA, N., KANEHISA, M., AND MAMITSUKA, H. 2006. A new efficient probabilistic model for mining labeled ordered trees. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Philadelphia, PA). 177-186.
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 177-186
-
-
HASHIMOTO, K.1
AOKI-KINOSHITA, K.F.2
UEDA, N.3
KANEHISA, M.4
MAMITSUKA, H.5
-
21
-
-
70449383253
-
Frequent hypergraph mining
-
Santiago, Spain
-
HORVATH, T., BRINGMANN, B., AND RAEDT., L. D. 2006. Frequent hypergraph mining. In Proceedings of the 16th International Conference on Inductive Logic Programming (ILP) (Santiago, Spain).
-
(2006)
Proceedings of the 16th International Conference on Inductive Logic Programming (ILP)
-
-
HORVATH, T.1
BRINGMANN, B.2
RAEDT, L.D.3
-
22
-
-
33749565422
-
Frequent subgraph mining in outerplanar graphs
-
Philadelphia, PA
-
HORVATH, T., RAMON, J., AND WROBEL, S. 2006. Frequent subgraph mining in outerplanar graphs. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Philadelphia, PA). 197-206.
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 197-206
-
-
HORVATH, T.1
RAMON, J.2
WROBEL, S.3
-
23
-
-
0035999974
-
Clustering gene expression data using a graph-theoretic approach: An application of minimum spanning trees
-
HU, Y., OLMAN, V., AND XU, D. 2002. Clustering gene expression data using a graph-theoretic approach: An application of minimum spanning trees. Bioinformatics 18, 4, 536-545.
-
(2002)
Bioinformatics
, vol.18
, Issue.4
, pp. 536-545
-
-
HU, Y.1
OLMAN, V.2
XU, D.3
-
24
-
-
29144474447
-
Mining coherent dense subgraphs across massive biological network for functional discovery
-
HU, H., YAN, X., HANG, Y., HAN, J., AND ZHOU, X. J. 2005. Mining coherent dense subgraphs across massive biological network for functional discovery. Bioinformatics 21, 213-221.
-
(2005)
Bioinformatics
, vol.21
, pp. 213-221
-
-
HU, H.1
YAN, X.2
HANG, Y.3
HAN, J.4
ZHOU, X.J.5
-
25
-
-
78149328300
-
Efficient mining of frequent subgraphs in the presence of isomorphism
-
Melbourne, FL
-
HUAN, J., WANG, W., AND PRINS, J. 2003. Efficient mining of frequent subgraphs in the presence of isomorphism. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM) (Melbourne, FL). 549-552.
-
(2003)
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM)
, pp. 549-552
-
-
HUAN, J.1
WANG, W.2
PRINS, J.3
-
26
-
-
84974733299
-
An apriori-based algorithm for mining frequent substructures from graph data
-
Freiburg, Germany
-
INOKUCHI, A., WASHIO, T., AND MOTODA, H. 2000. An apriori-based algorithm for mining frequent substructures from graph data. In Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD) (Freiburg, Germany). 13-23.
-
(2000)
Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD)
, pp. 13-23
-
-
INOKUCHI, A.1
WASHIO, T.2
MOTODA, H.3
-
27
-
-
0003037529
-
Reducibility among combinational problems
-
R. E. Miller and Thatcher eds. Plenum Press, New York
-
KARP, R. 1972. Reducibility among combinational problems. In Complexity of Computer Computations, R. E. Miller and Thatcher eds. Plenum Press, New York. 85-103.
-
(1972)
Complexity of Computer Computations
, pp. 85-103
-
-
KARP, R.1
-
28
-
-
34547442219
-
Automated identification of three-dimensional common structural features of proteins
-
KATO, H. AND TAKAHASHI, Y. 2001. Automated identification of three-dimensional common structural features of proteins. Genome Inf. 8, 296-297.
-
(2001)
Genome Inf
, vol.8
, pp. 296-297
-
-
KATO, H.1
TAKAHASHI, Y.2
-
29
-
-
0003113325
-
Finding interesting rules from large sets of discovered association rules
-
Gaithersburg, MD
-
KLEMETTINEN, M., MANNILA, H., RONKAINEN, P., TOIVONEN, H., AND VERKAMO, A. I. 1994. Finding interesting rules from large sets of discovered association rules. In Proceedings of the 3rd International Conference on Information and Knowledge Management (CIKM) (Gaithersburg, MD). 401-407.
-
(1994)
Proceedings of the 3rd International Conference on Information and Knowledge Management (CIKM)
, pp. 401-407
-
-
KLEMETTINEN, M.1
MANNILA, H.2
RONKAINEN, P.3
TOIVONEN, H.4
VERKAMO, A.I.5
-
31
-
-
28244452013
-
Discovering frequent episodes and learning hidden Markov models: A formal connection
-
LAXMAN, S. AND UNNIKRISHNAN, K. P. 2005. Discovering frequent episodes and learning hidden Markov models: A formal connection. IEEE Trans. Knowl. Data Eng. 17, 11, 1505-1517.
-
(2005)
IEEE Trans. Knowl. Data Eng
, vol.17
, Issue.11
, pp. 1505-1517
-
-
LAXMAN, S.1
UNNIKRISHNAN, K.P.2
-
32
-
-
27144468394
-
Discovery of frequent episodes in event sequences
-
MANNILA, H., TOIVONEN, H., AND VERKAMO, A. I. 1997. Discovery of frequent episodes in event sequences. Data Mining Knowl. Discov. 1, 3, 259-289.
-
(1997)
Data Mining Knowl. Discov
, vol.1
, Issue.3
, pp. 259-289
-
-
MANNILA, H.1
TOIVONEN, H.2
VERKAMO, A.I.3
-
33
-
-
0000546425
-
Classifying molecular sequences using a linkage graph with their pairwise similarities
-
MATSUDA, H., ISHIHARA, T., AND HASHIMOTO, A. 1999. Classifying molecular sequences using a linkage graph with their pairwise similarities. Theor. Comput. Sci. 210, 2, 305-320.
-
(1999)
Theor. Comput. Sci
, vol.210
, Issue.2
, pp. 305-320
-
-
MATSUDA, H.1
ISHIHARA, T.2
HASHIMOTO, A.3
-
34
-
-
84867997005
-
A fast algorithm for the maximum clique problem
-
OSTERGARD, P. R. 2002. A fast algorithm for the maximum clique problem. Discrete Appl. Math. 120, 1-3, 197-207.
-
(2002)
Discrete Appl. Math
, vol.120
-
-
OSTERGARD, P.R.1
-
35
-
-
23944510654
-
Aggregate nearest neighbor queries in spatial databases
-
PAPADIAS, D., TAO, Y., MOURATIDIS, K., AND HUI, C. K. 2005. Aggregate nearest neighbor queries in spatial databases. ACM Trans. Database Syst. 30, 2, 529-576.
-
(2005)
ACM Trans. Database Syst
, vol.30
, Issue.2
, pp. 529-576
-
-
PAPADIAS, D.1
TAO, Y.2
MOURATIDIS, K.3
HUI, C.K.4
-
36
-
-
32344444324
-
On mining cross-graph quasi-cliques
-
Chicago, IL
-
PEI, J., JIANG, D., AND ZHANG, A. 2005. On mining cross-graph quasi-cliques. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Chicago, IL). 228-238.
-
(2005)
Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 228-238
-
-
PEI, J.1
JIANG, D.2
ZHANG, A.3
-
37
-
-
33646386383
-
A bi-clustering framework for categorical data
-
Porto, Portugal
-
PENSA, R.G., ROBARDET, C., AND BOULICAUT, J.F. 2005. A bi-clustering framework for categorical data. In Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (Porto, Portugal). 643-650.
-
(2005)
Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)
, pp. 643-650
-
-
PENSA, R.G.1
ROBARDET, C.2
BOULICAUT, J.F.3
-
38
-
-
33750701499
-
Feature construction and delta-free sets in 0/1 samples
-
Barcelona, Spain
-
SELMAOUI, N., LESCHI, C., GAY, D., AND BOULICAUT, J.F. 2006. Feature construction and delta-free sets in 0/1 samples. In Proceedings of the 9th International Conference on Discovery Science (DS) (Barcelona, Spain). 363-367.
-
(2006)
Proceedings of the 9th International Conference on Discovery Science (DS)
, pp. 363-367
-
-
SELMAOUI, N.1
LESCHI, C.2
GAY, D.3
BOULICAUT, J.F.4
-
39
-
-
23044519608
-
Scalable techniques for mining causal structures
-
SILVERSTEIN, C., BRIN, S., MOTWANI, R., AND ULLMAN, J. 2000. Scalable techniques for mining causal structures. Data Mining Knowl. Discov. 4, 2-3, 163-192.
-
(2000)
Data Mining Knowl. Discov
, vol.4
-
-
SILVERSTEIN, C.1
BRIN, S.2
MOTWANI, R.3
ULLMAN, J.4
-
40
-
-
78149322987
-
Computing frequent graph patterns from semistructured data
-
Maebashi City, Japan
-
VANETIK, N., GUDES, E., AND SHIMONY, S. E. 2002. Computing frequent graph patterns from semistructured data. In Proceedings of the IEEE International Conference on Data Mining (ICDM) (Maebashi City, Japan). 458-465.
-
(2002)
Proceedings of the IEEE International Conference on Data Mining (ICDM)
, pp. 458-465
-
-
VANETIK, N.1
GUDES, E.2
SHIMONY, S.E.3
-
41
-
-
12244251830
-
Scalable mining of large disk-based graph databases
-
Seattle, WA
-
WANG, C., WANG, W., PEI, J., ZHU, Y., AND SHI, B. 2004. Scalable mining of large disk-based graph databases. In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Seattle, WA). 316-325.
-
(2004)
Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 316-325
-
-
WANG, C.1
WANG, W.2
PEI, J.3
ZHU, Y.4
SHI, B.5
-
42
-
-
0036372484
-
Clustering by pattern similarity in large data sets
-
Madison, WI
-
WANG, H., WANG, W., YANG, J., AND YU, P. S. 2002. Clustering by pattern similarity in large data sets. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD). Madison, WI). 394-405.
-
(2002)
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
, pp. 394-405
-
-
WANG, H.1
WANG, W.2
YANG, J.3
YU, P.S.4
-
43
-
-
33646407818
-
Closed constrained gradient mining in retail databases
-
WANG, J., HAN, J., AND PEI, J. 2006a. Closed constrained gradient mining in retail databases. IEEE Trans. Knowl. Data Eng. 18, 6, 764-769.
-
(2006)
IEEE Trans. Knowl. Data Eng
, vol.18
, Issue.6
, pp. 764-769
-
-
WANG, J.1
HAN, J.2
PEI, J.3
-
44
-
-
33749600907
-
Clan: An algorithm for mining closed cliques from large dense graph databases
-
Atlanta, GA, Article
-
WANG, J., ZENG, Z., AND ZHOU, L. 2006b. Clan: An algorithm for mining closed cliques from large dense graph databases. In Proceedings of the 22nd International Conference on Data Engineering (ICDE) (Atlanta, GA). Article 73.
-
(2006)
Proceedings of the 22nd International Conference on Data Engineering (ICDE)
, pp. 73
-
-
WANG, J.1
ZENG, Z.2
ZHOU, L.3
-
48
-
-
32344434822
-
Mining closed relational graphs with connectivity constraints
-
Chicago, IL
-
YAN, X., ZHOU, X. J., AND HAN, J. 2005. Mining closed relational graphs with connectivity constraints. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Chicago, IL). 324-333.
-
(2005)
Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 324-333
-
-
YAN, X.1
ZHOU, X.J.2
HAN, J.3
-
51
-
-
33749560883
-
Coherent closed quasi-clique discovery from large dense graph databases
-
Philadelphia, PA
-
ZENG, Z., WANG, J., ZHOU, L., AND KARYPIS, G. 2006. Coherent closed quasi-clique discovery from large dense graph databases. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Philadelphia, PA). 797-802.
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 797-802
-
-
ZENG, Z.1
WANG, J.2
ZHOU, L.3
KARYPIS, G.4
-
52
-
-
17444389321
-
Clustering in dynamic spatial databases
-
ZHANG, J., HSU, W., AND LEE, M. 2005. Clustering in dynamic spatial databases. J. Intell. Inf. Syst. 24, 1, 5-27.
-
(2005)
J. Intell. Inf. Syst
, vol.24
, Issue.1
, pp. 5-27
-
-
ZHANG, J.1
HSU, W.2
LEE, M.3
-
53
-
-
29944442006
-
Mining periodic patterns with gap requirement from sequences
-
Chicago, IL
-
ZHANG, M., KAO, B., CHEUNG, D. W., AND YIP, K. Y. 2005. Mining periodic patterns with gap requirement from sequences. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) (Chicago, IL). 623-633.
-
(2005)
Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 623-633
-
-
ZHANG, M.1
KAO, B.2
CHEUNG, D.W.3
YIP, K.Y.4
|