-
1
-
-
0242709382
-
Efficiently mining frequent trees in a forest
-
M. J. Zaki, "Efficiently mining frequent trees in a forest," in ACM KDD, 2002, pp. 71-80.
-
(2002)
ACM KDD
, pp. 71-80
-
-
Zaki, M.J.1
-
2
-
-
4544334171
-
Efficient substructure discovery from large semi-structured data
-
T. Asai, K. Abe, S. Kawasoe, H. Arimura, H. Sakamoto, and S. Arikawa, "Efficient substructure discovery from large semi-structured data," in Proc. of the 2nd SIAM Symposium on Data Mining, 2002, pp. 158-74.
-
(2002)
Proc. of the 2nd SIAM Symposium on Data Mining
, pp. 158-174
-
-
Asai, T.1
Abe, K.2
Kawasoe, S.3
Arimura, H.4
Sakamoto, H.5
Arikawa, S.6
-
3
-
-
84974733299
-
An apriori-based algorithm for mining frequent substructures from graph data
-
Springer-Verlag
-
A. Inokuchi, T. Washio, and H. Motoda, "An apriori-based algorithm for mining frequent substructures from graph data," in Proc. of the 4th European Conf. on Principles of Data Mining and Knowledge Discovery. Springer-Verlag, 2000, pp. 13-23.
-
(2000)
Proc. of the 4th European Conf. on Principles of Data Mining and Knowledge Discovery
, pp. 13-23
-
-
Inokuchi, A.1
Washio, T.2
Motoda, H.3
-
4
-
-
78149328300
-
Efficient mining of frequent subgraph in the presence of isomorphism
-
J. Huan, W. Wang, and J. Prins, "Efficient mining of frequent subgraph in the presence of isomorphism," in IEEE ICDM, 2003, pp. 549-552.
-
(2003)
IEEE ICDM
, pp. 549-552
-
-
Huan, J.1
Wang, W.2
Prins, J.3
-
5
-
-
4544385908
-
An efficient algorithm for discovering frequent subgraphs
-
M. Kuramochi and G. Karypis, "An efficient algorithm for discovering frequent subgraphs," IEEE TKDE, vol. 16, no. 9, pp. 1038-1051, 2004.
-
(2004)
IEEE TKDE
, vol.16
, Issue.9
, pp. 1038-1051
-
-
Kuramochi, M.1
Karypis, G.2
-
6
-
-
27944453480
-
Finding frequent patterns in a large sparse graph
-
- "Finding frequent patterns in a large sparse graph," Data Mining and Knowledge Discovery, vol. 11, no. 3, pp. 243-271, 2005.
-
(2005)
Data Mining and Knowledge Discovery
, vol.11
, Issue.3
, pp. 243-271
-
-
Kuramochi, M.1
Karypis, G.2
-
9
-
-
24344484786
-
Frequent substructure-based approaches for classifying chemical compounds
-
M. Deshpande, M. Kuramochi, N. Wale, and G. Karypis, "Frequent substructure-based approaches for classifying chemical compounds," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 8, pp. 1036-1050, 2005.
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.8
, pp. 1036-1050
-
-
Deshpande, M.1
Kuramochi, M.2
Wale, N.3
Karypis, G.4
-
10
-
-
41149084603
-
Comparison of descriptor spaces for chemical compound retrieval and classification
-
N. Wale, I. A. Watson, and G. Karypis, "Comparison of descriptor spaces for chemical compound retrieval and classification," Knowledge and Information Systems, vol. 14, no. 3, pp. 347-375, 2008.
-
(2008)
Knowledge and Information Systems
, vol.14
, Issue.3
, pp. 347-375
-
-
Wale, N.1
Watson, I.A.2
Karypis, G.3
-
11
-
-
0038589165
-
The anatomy of a large-scale hypertextual web search engine
-
S. Brin and L. Page, "The anatomy of a large-scale hypertextual web search engine," Computer Networks and ISDN Systems, vol. 30, no. 1-7, pp. 107-117, 1998.
-
(1998)
Computer Networks and ISDN Systems
, vol.30
, Issue.1-7
, pp. 107-117
-
-
Brin, S.1
Page, L.2
-
12
-
-
34748903449
-
Pattern mining in frequent dynamic subgraphs
-
K. M. Borgwardt, H.-P. Kriegel, and P. Wackersreuther, "Pattern mining in frequent dynamic subgraphs," in IEEE ICDM, 2006, pp. 818-822.
-
(2006)
IEEE ICDM
, pp. 818-822
-
-
Borgwardt, K.M.1
Kriegel, H.-P.2
Wackersreuther, P.3
-
13
-
-
33749572698
-
Evolutionary clustering
-
D. Chakrabarti, R. Kumar, and A. Tomkins, "Evolutionary clustering," in ACM KDD, 2006, pp. 554-560.
-
(2006)
ACM KDD
, pp. 554-560
-
-
Chakrabarti, D.1
Kumar, R.2
Tomkins, A.3
-
14
-
-
70350635471
-
Mining graph evolution rules
-
M. Berlingerio, F. Bonchi, B. Bringmann, and A. Gionis, "Mining graph evolution rules," Machine Learning and Knowledge Discovery in Databases, pp. 115-130, 2009.
-
(2009)
Machine Learning and Knowledge Discovery in Databases
, pp. 115-130
-
-
Berlingerio, M.1
Bonchi, F.2
Bringmann, B.3
Gionis, A.4
-
15
-
-
70349884040
-
Discovering relevant cross-graph cliques in dynamic networks
-
L. Cerf, T. Nguyen, and J. Boulicaut, "Discovering relevant cross-graph cliques in dynamic networks," Foundations of Intelligent Systems, pp. 513-522, 2009.
-
(2009)
Foundations of Intelligent Systems
, pp. 513-522
-
-
Cerf, L.1
Nguyen, T.2
Boulicaut, J.3
-
16
-
-
84885974261
-
Constraint-based pattern mining in dynamic graphs
-
C. Robardet, "Constraint-based pattern mining in dynamic graphs," in IEEE ICDM, 2009, pp. 950-955.
-
(2009)
IEEE ICDM
, pp. 950-955
-
-
Robardet, C.1
-
20
-
-
0035016443
-
Prefixspan: Mining sequential patterns by prefix-projected growth
-
[Online]. Available: citeseer.nj.nec.com/pei01prefixspan.html
-
J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M. Hsu, "Prefixspan: Mining sequential patterns by prefix-projected growth," in ICDE, 2001, pp. 215-224. [Online]. Available: citeseer.nj.nec.com/pei01prefixspan.html
-
(2001)
ICDE
, pp. 215-224
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Pinto, H.4
Chen, Q.5
Dayal, U.6
Hsu, M.7
-
21
-
-
84857157355
-
Efficient mining of frequent subgraph in the presence of isomophism
-
J. Huan, W. Wang, and J. Prins, "Efficient mining of frequent subgraph in the presence of isomophism," in IEEE ICDM, 2003.
-
(2003)
IEEE ICDM
-
-
Huan, J.1
Wang, W.2
Prins, J.3
-
22
-
-
29144474447
-
Mining coherent dense subgraphs across massive biological networks for functional discovery
-
Ann Arbor, MI
-
H. Hu, X. Yan, H. Yu, J. Han, and X. Zhou, "Mining coherent dense subgraphs across massive biological networks for functional discovery," in ISMB, Ann Arbor, MI, 2005, pp. 213-221.
-
(2005)
ISMB
, pp. 213-221
-
-
Hu, H.1
Yan, X.2
Yu, H.3
Han, J.4
Zhou, X.5
-
23
-
-
32344444324
-
On mining cross-graph quasi-cliques
-
J. Pei, D. Jiang, and A. Zhang, "On mining cross-graph quasi-cliques," in ACM KDD, 2005, pp. 228-238.
-
(2005)
ACM KDD
, pp. 228-238
-
-
Pei, J.1
Jiang, D.2
Zhang, A.3
-
24
-
-
32344434822
-
Mining closed relational graphs with connectivity constraints
-
X. Yan, X. J. Zhou, and J. Han, "Mining closed relational graphs with connectivity constraints," in ACM KDD, 2005, pp. 324-333.
-
(2005)
ACM KDD
, pp. 324-333
-
-
Yan, X.1
Zhou, X.J.2
Han, J.3
-
25
-
-
67049085010
-
Mining temporally evolving graphs
-
Citeseer
-
P. Desikan and J. Srivastava, "Mining temporally evolving graphs," in WEBKDD Workshop, vol. 22. Citeseer, 2004.
-
(2004)
WEBKDD Workshop
, vol.22
-
-
Desikan, P.1
Srivastava, J.2
-
26
-
-
77956256145
-
Frequent subgraph discovery in dynamic networks
-
ACM
-
B. Wackersreuther, P. Wackersreuther, A. Oswald, C. B "ohm, and K. Borgwardt, "Frequent subgraph discovery in dynamic networks," in Proc. of the 8th Workshop on Mining and Learning with Graphs. ACM, 2010, pp. 155-162.
-
(2010)
Proc. of the 8th Workshop on Mining and Learning with Graphs
, pp. 155-162
-
-
Wackersreuther, B.1
Wackersreuther, P.2
Oswald, A.3
Ohm, C.B.4
Borgwardt, K.5
-
27
-
-
49749134293
-
Trend motif: A graph mining approach for analysis of dynamic complex networks
-
R. Jin, S. McCallen, and E. Almaas, "Trend motif: A graph mining approach for analysis of dynamic complex networks," in IEEE ICDM, 2007, pp. 541-546.
-
(2007)
IEEE ICDM
, pp. 541-546
-
-
Jin, R.1
McCallen, S.2
Almaas, E.3
-
28
-
-
67049138463
-
A fast method to mine frequent subsequences from graph sequence data
-
A. Inokuchi and T. Washio, "A fast method to mine frequent subsequences from graph sequence data," in IEEE ICDM, 2008, pp. 303-312.
-
(2008)
IEEE ICDM
, pp. 303-312
-
-
Inokuchi, A.1
Washio, T.2
-
30
-
-
33846194268
-
Detecting conserved interaction patterns in biological networks
-
M. Koyutiirk, Y. Kim, S. Subramaniam, W. Szpankowski, and A. Grama, "Detecting conserved interaction patterns in biological networks," Journal of Computational Biology, vol. 13, no. 7, pp. 1299-1322, 2006.
-
(2006)
Journal of Computational Biology
, vol.13
, Issue.7
, pp. 1299-1322
-
-
Koyutiirk, M.1
Kim, Y.2
Subramaniam, S.3
Szpankowski, W.4
Grama, A.5
-
31
-
-
33749574784
-
A framework for analysis of dynamic social networks
-
T. Berger-Wolf and J. Saia, "A framework for analysis of dynamic social networks," in ACM KDD, 2006, pp. 523-528.
-
(2006)
ACM KDD
, pp. 523-528
-
-
Berger-Wolf, T.1
Saia, J.2
-
32
-
-
67049116488
-
Mining periodic behavior in dynamic social networks
-
M. Lahiri and T. Berger-Wolf, "Mining periodic behavior in dynamic social networks," in IEEE ICDM, 2008, pp. 373-382.
-
(2008)
IEEE ICDM
, pp. 373-382
-
-
Lahiri, M.1
Berger-Wolf, T.2
-
33
-
-
65449147147
-
Community evolution in dynamic multi-mode networks
-
L. Tang, H. Liu, J. Zhang, and Z. Nazeri, "Community evolution in dynamic multi-mode networks," in ACM KDD, 2008, pp. 677-685.
-
(2008)
ACM KDD
, pp. 677-685
-
-
Tang, L.1
Liu, H.2
Zhang, J.3
Nazeri, Z.4
-
34
-
-
0038170352
-
Expanded trade and GDP data
-
K. S. Gleditsch, "Expanded Trade and GDP Data," Journal of Conflict Resolution, vol. 46, no. 5, pp. 712-724, 2002.
-
(2002)
Journal of Conflict Resolution
, vol.46
, Issue.5
, pp. 712-724
-
-
Gleditsch, K.S.1
|