-
1
-
-
33746689579
-
Link mining: A survey
-
L. Getoor and C.P. Diehl, "Link mining: A survey," SIGKDD Explorations, vol.7, no.2, pp.3-12, 2005.
-
(2005)
SIGKDD Explorations
, vol.7
, Issue.2
, pp. 3-12
-
-
Getoor, L.1
Diehl, C.P.2
-
2
-
-
36849035459
-
Dynamic social network analysis using latent space models
-
P. Sarkar and A.W. Moore, "Dynamic social network analysis using latent space models," SIGKDD Explorations, vol.7, no.2, pp.31-40, 2005.
-
(2005)
SIGKDD Explorations
, vol.7
, Issue.2
, pp. 31-40
-
-
Sarkar, P.1
Moore, A.W.2
-
3
-
-
67650700154
-
Dynamic exponential family matrix factorization
-
K. Hayashi, J. Hirayama, and S. Ishii, "Dynamic exponential family matrix factorization," Proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp.452-462, 2009.
-
(2009)
Proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
, pp. 452-462
-
-
Hayashi, K.1
Hirayama, J.2
Ishii, S.3
-
4
-
-
71049136197
-
MetaFac: Community discovery via relational hypergraph factorization
-
T.R. Lin, J. Sun, P. Castro, R. Konuru, H. Sundaram, and A. Kelliher, "MetaFac: Community discovery via relational hypergraph factorization," Proc. 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.527-536, 2009.
-
(2009)
Proc. 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 527-536
-
-
Lin, T.R.1
Sun, J.2
Castro, P.3
Konuru, R.4
Sundaram, H.5
Kelliher, A.6
-
6
-
-
67649958523
-
The time-series link prediction problem with applications in communication surveillance
-
Z. Huang and D.K.J. Lin, "The time-series link prediction problem with applications in communication surveillance," INFORMS J. Computing, vol.21, pp.286-303, 2009.
-
(2009)
INFORMS J. Computing
, vol.21
, pp. 286-303
-
-
Huang, Z.1
Lin, D.K.J.2
-
7
-
-
79952552980
-
Temporal link prediction using matrix and tensor factorizations
-
D.M. Dunlavy, T.G. Kolda, and E. Acar, "Temporal link prediction using matrix and tensor factorizations," ACM Trans. Knowledge Discovery from Data (TKDD), vol.5, no.2, pp.10:1-10:27, 2011.
-
(2011)
ACM Trans. Knowledge Discovery from Data (TKDD)
, vol.5
, Issue.2
, pp. 101-1027
-
-
Dunlavy, D.M.1
Kolda, T.G.2
Acar, E.3
-
8
-
-
35348830609
-
Implicit structure and the dynamics of blogspace
-
E. Adar, L. Zhang, L.A. Adamic, and R.M. Lukose, "Implicit structure and the dynamics of blogspace," Proc. WWW 2004 Workshop on the Weblogging Ecosystem, 2004.
-
(2004)
Proc. WWW 2004 Workshop on the Weblogging Ecosystem
-
-
Adar, E.1
Zhang, L.2
Adamic, L.A.3
Lukose, R.M.4
-
9
-
-
0033321440
-
Building hypertext links by computing semantic similarity
-
S.J. Green, "Building hypertext links by computing semantic similarity," IEEE Trans. Knowl. Data Eng., vol.11, no.5, pp.713-730, 1999.
-
(1999)
IEEE Trans. Knowl. Data Eng.
, vol.11
, Issue.5
, pp. 713-730
-
-
Green, S.J.1
-
10
-
-
78649953561
-
Automatically building research reading lists
-
M.D. Ekstrand, P. Kannan, J.A. Stemper, J.T. Butler, J.A. Konstan, and J.T. Riedl, "Automatically building research reading lists," Proc. Fourth ACMConference on Recommender Systems (RecSys), pp.159-166, 2010.
-
(2010)
Proc. Fourth ACMConference on Recommender Systems (RecSys)
, pp. 159-166
-
-
Ekstrand, M.D.1
Kannan, P.2
Stemper, J.A.3
Butler, J.T.4
Konstan, J.A.5
Riedl, J.T.6
-
12
-
-
0031189914
-
Multitask learning
-
R. Caruana, "Multitask learning," Mach. Learn., vol.28, no.1, pp.41-75, 1997.
-
(1997)
Mach. Learn.
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
16
-
-
84898932317
-
Maximum-margin matrix factorization
-
N. Srebro, J. Rennie, and T. Jaakkola, "Maximum-margin matrix factorization," Advances in Neural Information Processing Systems 17 (NIPS), pp.1329-1336, 2005.
-
(2005)
Advances in Neural Information Processing Systems 17 (NIPS)
, pp. 1329-1336
-
-
Srebro, N.1
Rennie, J.2
Jaakkola, T.3
-
17
-
-
68649096448
-
Tensor decompositions and applications
-
T.G. Kolda and B.W. Bader, "Tensor decompositions and applications," SIAM Review, vol.51, no.3, pp.455-500, 2009.
-
(2009)
SIAM Review
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
18
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
L. Tucker, "Some mathematical notes on three-mode factor analysis," Psychometrika, vol.31, no.3, pp.279-311, 1966.
-
(1966)
Psychometrika
, vol.31
, Issue.3
, pp. 279-311
-
-
Tucker, L.1
-
21
-
-
24744435534
-
Kernel methods for predicting protein-protein interactions
-
A. Ben-Hur and W.S. Noble, "Kernel methods for predicting protein-protein interactions," Bioinformatics, vol.21, no.Suppl. 1, pp.i38-i46, 2005.
-
(2005)
Bioinformatics
, vol.21
, Issue.SUPPL. 1
-
-
Ben-Hur, A.1
Noble, W.S.2
-
22
-
-
84862892882
-
Link prediction using supervised learning
-
M.A. Hasan, V. Chaoji, S. Salem, and M. Zaki, "Link prediction using supervised learning," Proc. Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD), 2005.
-
(2005)
Proc. Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD)
-
-
Hasan, M.A.1
Chaoji, V.2
Salem, S.3
Zaki, M.4
-
23
-
-
34247527717
-
Prediction and ranking algorithms for event-based network data
-
J. O'Madadhain, J. Hutchins, and P. Smyth, "Prediction and ranking algorithms for event-based network data," SIGKDD Explorations, vol.7, no.2, pp.23-30, 2005.
-
(2005)
SIGKDD Explorations
, vol.7
, Issue.2
, pp. 23-30
-
-
O'Madadhain, J.1
Hutchins, J.2
Smyth, P.3
-
25
-
-
84898969742
-
Link prediction in relational data
-
B. Taskar,M.Wong, P. Abbeel, and D. Koller, "Link prediction in relational data," Advances in Neural Information Processing Systems 16 (NIPS), pp.659-666, 2004.
-
(2004)
Advances in Neural Information Processing Systems 16 (NIPS)
, pp. 659-666
-
-
Taskar, B.1
Wong, M.2
Abbeel, P.3
Koller, D.4
-
26
-
-
0032623127
-
A p? primer: Logit models for social networks
-
C.J. Anderson, S. Wasserman, and B. Crouch, "A p? primer: Logit models for social networks," Social Networks, vol.21, pp.37-66, 1999.
-
(1999)
Social Networks
, vol.21
, pp. 37-66
-
-
Anderson, C.J.1
Wasserman, S.2
Crouch, B.3
-
31
-
-
4944235920
-
Two supervised learning approaches for name disambiguation in author citations
-
H. Han, L. Giles, H. Zha, C. Li, and K. Tsioutsiouliklis, "Two supervised learning approaches for name disambiguation in author citations," Proc. 4th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), pp.296-305, 2004.
-
(2004)
Proc. 4th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL)
, pp. 296-305
-
-
Han, H.1
Giles, L.2
Zha, H.3
Li, C.4
Tsioutsiouliklis, K.5
-
33
-
-
0242456803
-
Learning domainindependent string transformation weights for high accuracy object identification
-
S. Tejada, C.A. Knoblock, and S. Minton, "Learning domainindependent string transformation weights for high accuracy object identification," Proc. 8th ACM SIGKDD Conference on Knowledge Discovery and Data mining (KDD), pp.350-359, 2002.
-
(2002)
Proc. 8th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 350-359
-
-
Tejada, S.1
Knoblock, C.A.2
Minton, S.3
-
34
-
-
57649198469
-
Identification of timevarying objects on the Web
-
S. Oyama, K. Shirasuna, and K. Tanaka, "Identification of timevarying objects on the Web," Proc. 8th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), pp.285-294, 2008.
-
(2008)
Proc. 8th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL)
, pp. 285-294
-
-
Oyama, S.1
Shirasuna, K.2
Tanaka, K.3
-
35
-
-
33749572698
-
Evolutionary clustering
-
D. Chakrabarti, R. Kumar, and A. Tomkins, "Evolutionary clustering," Proc. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.554-560, 2006.
-
(2006)
Proc. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 554-560
-
-
Chakrabarti, D.1
Kumar, R.2
Tomkins, A.3
-
36
-
-
36849005505
-
Evolutionary spectral clustering by incorporating temporal smoothness
-
Y. Chi, X. Song, D. Zhou, K. Hino, and B.L. Tseng, "Evolutionary spectral clustering by incorporating temporal smoothness," Proc. 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.153-162, 2007.
-
(2007)
Proc. 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 153-162
-
-
Chi, Y.1
Song, X.2
Zhou, D.3
Hino, K.4
Tseng, B.L.5
-
37
-
-
79960198428
-
Evaluating significance of historical entities based on tempo-spatial impacts analysis using wikipedia link structure
-
Y. Takahashi, H. Ohshima, M. Yamamoto, H. Iwasaki, S. Oyama, and K. Tanaka, "Evaluating significance of historical entities based on tempo-spatial impacts analysis using wikipedia link structure," Proc. 22nd ACM Conference on Hypertext and Hypermedia (HT), pp.83-92, 2011.
-
(2011)
Proc. 22nd ACM Conference on Hypertext and Hypermedia (HT)
, pp. 83-92
-
-
Takahashi, Y.1
Ohshima, H.2
Yamamoto, M.3
Iwasaki, H.4
Oyama, S.5
Tanaka, K.6
-
38
-
-
84857162596
-
Cross-temporal link prediction
-
S. Oyama, K. Hayashi, and H. Kashima, "Cross-temporal link prediction," Proc. 11th IEEE International Conference on Data Mining (ICDM 2011), pp.1188-1193, 2011.
-
(2011)
Proc. 11th IEEE International Conference on Data Mining (ICDM 2011)
, pp. 1188-1193
-
-
Oyama, S.1
Hayashi, K.2
Kashima, H.3
|