-
1
-
-
0038046968
-
On two segmentation problems
-
Alon N, Sudakov B (1999) On two segmentation problems. J Algorithm 33:173–184
-
(1999)
J Algorithm
, vol.33
, pp. 173-184
-
-
Alon, N.1
Sudakov, B.2
-
2
-
-
84878753796
-
Optimal factorization of three-way binary data using triadic concepts
-
Bělohlávek R, Glodeanu C, Vychodil V (2012) Optimal factorization of three-way binary data using triadic concepts. Order 30(2):437–454
-
(2012)
Order
, vol.30
, Issue.2
, pp. 437-454
-
-
Bělohlávek, R.1
Glodeanu, C.2
Vychodil, V.3
-
3
-
-
82555195625
-
-
Cantador I, Brusilovsky P, Kuflik T (2011) 2nd Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec ’11). In: 5th ACM Conference on Recommender Systems (RecSys’11)
-
Cantador I, Brusilovsky P, Kuflik T (2011) 2nd Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec ’11). In: 5th ACM Conference on Recommender Systems (RecSys’11)
-
-
-
-
4
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition
-
Carroll JD, Chang JJ (1970) Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition. Psychometrika 35(3):283–319
-
(1970)
Psychometrika
, vol.35
, Issue.3
, pp. 283-319
-
-
Carroll, J.D.1
Chang, J.J.2
-
5
-
-
67149121799
-
Closed patterns meet n-ary relations
-
Cerf L, Besson J, Robardet C, Boulicaut JF (2009) Closed patterns meet n-ary relations. ACM Trans Knowl Discov Data 3(1):1
-
(2009)
ACM Trans Knowl Discov Data
, vol.3
, Issue.1
, pp. 1
-
-
Cerf, L.1
Besson, J.2
Robardet, C.3
Boulicaut, J.F.4
-
6
-
-
84901783536
-
Closed and noise-tolerant patterns in n-ary relations
-
Cerf L, Besson J, Nguyen KNT, Boulicaut JF (2013) Closed and noise-tolerant patterns in n-ary relations. Data Min Knowl Discov 26(3):574–619
-
(2013)
Data Min Knowl Discov
, vol.26
, Issue.3
, pp. 574-619
-
-
Cerf, L.1
Besson, J.2
Nguyen, K.N.T.3
Boulicaut, J.F.4
-
7
-
-
84871551012
-
On tensors, sparsity, and nonnegative factorizations
-
Chi EC, Kolda TG (2012) On tensors, sparsity, and nonnegative factorizations. SIAM J Matrix Anal Appl 33(4):1272–1299
-
(2012)
SIAM J Matrix Anal Appl
, vol.33
, Issue.4
, pp. 1272-1299
-
-
Chi, E.C.1
Kolda, T.G.2
-
8
-
-
0002806690
-
OpenMP: an industry standard API for shared-memory programming
-
Dagum L, Menon R (1998) OpenMP: an industry standard API for shared-memory programming. IEEE Comput Sci Eng Mag 5(1):46–55
-
(1998)
IEEE Comput Sci Eng Mag
, vol.5
, Issue.1
, pp. 46-55
-
-
Dagum, L.1
Menon, R.2
-
9
-
-
84889591026
-
Discovering facts with boolean tensor tucker decomposition. In: 22nd ACM International Conference on Information & Knowledge Management (CIKM ’13)
-
Erdős D, Miettinen P (2013a) Discovering facts with boolean tensor tucker decomposition. In: 22nd ACM International Conference on Information & Knowledge Management (CIKM ’13), pp 1569–1572
-
(2013)
Pp 1569–1572
-
-
Erdős, D.1
Miettinen, P.2
-
10
-
-
84894646522
-
Walk’n’Merge: a scalable algorithm for Boolean tensor factorization. In: 13th IEEE International Conference on Data Mining (ICDM ’13)
-
Erdős D, Miettinen P (2013b) Walk’n’Merge: a scalable algorithm for Boolean tensor factorization. In: 13th IEEE International Conference on Data Mining (ICDM ’13), pp 1037–1042
-
(2013)
Pp 1037–1042
-
-
Erdős, D.1
Miettinen, P.2
-
11
-
-
33744905816
-
Foundations of the PARAFAC procedure: models and conditions for an “explanatory” multimodal factor analysis. Tech. Rep. 16
-
Harshman RA (1970) Foundations of the PARAFAC procedure: models and conditions for an “explanatory” multimodal factor analysis. Tech. Rep. 16, UCLA Working Papers in Phonetics
-
(1970)
UCLA Working Papers
-
-
Harshman, R.A.1
-
12
-
-
65149091304
-
Simultaneous tensor subspace selection and clustering: the equivalence of high order SVD and k-means clustering. In: 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’08)
-
Huang H, Ding C, Luo D, Li T (2008) Simultaneous tensor subspace selection and clustering: the equivalence of high order SVD and k-means clustering. In: 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’08), pp 327–335
-
(2008)
Pp 327–335
-
-
Huang, H.1
Ding, C.2
Luo, D.3
Li, T.4
-
13
-
-
79960318872
-
From triconcepts to triclusters. In: 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC ’11)
-
Ignatov DI, Kuznetsov SO, Magizov RA, Zhukov LE (2011) From triconcepts to triclusters. In: 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC ’11), pp 257–264
-
(2011)
Pp 257–264
-
-
Ignatov, D.I.1
Kuznetsov, S.O.2
Magizov, R.A.3
Zhukov, L.E.4
-
14
-
-
77952042297
-
Approximation algorithms for tensor clustering. In: International Conference on Algorithmic Learning Theory (ALT ’09)
-
Jegelka S, Sra S, Banerjee A (2009) Approximation algorithms for tensor clustering. In: International Conference on Algorithmic Learning Theory (ALT ’09), pp 368–383
-
(2009)
Pp 368–383
-
-
Jegelka, S.1
Sra, S.2
Banerjee, A.3
-
15
-
-
84939571054
-
Pattern extraction and clustering for high-dimensional discrete data. PhD thesis
-
Jiang P (2014) Pattern extraction and clustering for high-dimensional discrete data. PhD thesis, University of Illinois at Urbana-Champaign
-
(2014)
University of Illinois at Urbana-Champaign
-
-
Jiang, P.1
-
16
-
-
83055166026
-
Approximate tensor decomposition within a tensor-relational algebraic framework. In: 20th ACM International Conference on Information & Knowledge Management (CIKM ’11)
-
Kim M, Candan KS (2011) Approximate tensor decomposition within a tensor-relational algebraic framework. In: 20th ACM International Conference on Information & Knowledge Management (CIKM ’11), pp 1737–1742
-
(2011)
Pp 1737–1742
-
-
Kim, M.1
Candan, K.S.2
-
17
-
-
84871037251
-
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition. In: 21st ACM International Conference on Information & Knowledge Management (CIKM ’12)
-
Kim M, Candan KS (2012) Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition. In: 21st ACM International Conference on Information & Knowledge Management (CIKM ’12), pp 355–364
-
(2012)
Pp 355–364
-
-
Kim, M.1
Candan, K.S.2
-
18
-
-
84907015092
-
Pushing-down tensor decompositions over unions to promote reuse of materialized decompositions. In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD ’14)
-
Kim M, Candan KS (2014) Pushing-down tensor decompositions over unions to promote reuse of materialized decompositions. In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD ’14), pp 688–704
-
(2014)
Pp 688–704
-
-
Kim, M.1
Candan, K.S.2
-
21
-
-
68649096448
-
Tensor decompositions and applications
-
Kolda TG, Bader BW (2009) Tensor decompositions and applications. SIAM Rev 51(3):455–500
-
(2009)
SIAM Rev
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
22
-
-
0033247465
-
INDCLAS: a three-way hierarchical classes model
-
Leenen I, Van Mechelen I, De Boeck P, Rosenberg S (1999) INDCLAS: a three-way hierarchical classes model. Psychometrika 64(1):9–24
-
(1999)
Psychometrika
, vol.64
, Issue.1
, pp. 9-24
-
-
Leenen, I.1
Van Mechelen, I.2
De Boeck, P.3
Rosenberg, S.4
-
23
-
-
77954403373
-
Hybrid clustering of multiple information sources via HOSVD
-
Liu X, De Lathauwer L, Janssens F, De Moor B (2010) Hybrid clustering of multiple information sources via HOSVD. In: 7th International Conference on Advances in Neural Networks—Part II (ISNN ’10), pp 337–345
-
(2010)
7th International Conference on Advances in Neural Networks—Part
, vol.II
, Issue.ISNN ’10
, pp. 337-345
-
-
Liu, X.1
De Lathauwer, L.2
Janssens, F.3
De Moor, B.4
-
24
-
-
79951759146
-
Matrix Decomposition methods for data mining: computational complexity and algorithms. PhD thesis, Department of Computer Science
-
Miettinen P (2009) Matrix Decomposition methods for data mining: computational complexity and algorithms. PhD thesis, Department of Computer Science, University of Helsinki
-
(2009)
University of Helsinki
-
-
Miettinen, P.1
-
25
-
-
79951733758
-
Sparse Boolean matrix factorizations. In: 10th IEEE International Conference on Data Mining (ICDM ’10)
-
Miettinen P (2010) Sparse Boolean matrix factorizations. In: 10th IEEE International Conference on Data Mining (ICDM ’10), pp 935–940
-
(2010)
Pp 935–940
-
-
Miettinen, P.1
-
26
-
-
84857185730
-
Boolean tensor factorizations. In: 11th IEEE International Conference on Data Mining (ICDM ’11)
-
Miettinen P (2011) Boolean tensor factorizations. In: 11th IEEE International Conference on Data Mining (ICDM ’11), pp 447–456
-
(2011)
Pp 447–456
-
-
Miettinen, P.1
-
27
-
-
84908225464
-
MDL4BMF: minimum description length for Boolean matrix factorization
-
Miettinen P, Vreeken J (2014) MDL4BMF: minimum description length for Boolean matrix factorization. ACM Trans Knowl Discov Data 8(4):18
-
(2014)
ACM Trans Knowl Discov Data
, vol.8
, Issue.4
, pp. 18
-
-
Miettinen, P.1
Vreeken, J.2
-
28
-
-
48349118009
-
The discrete basis problem
-
Miettinen P, Mielikäinen T, Gionis A, Das G, Mannila H (2008) The discrete basis problem. IEEE Trans Knowl Data Eng 20(10):1348–1362
-
(2008)
IEEE Trans Knowl Data Eng
, vol.20
, Issue.10
, pp. 1348-1362
-
-
Miettinen, P.1
Mielikäinen, T.2
Gionis, A.3
Das, G.4
Mannila, H.5
-
30
-
-
84866867881
-
ParCube: sparse parallelizable tensor decompositions. In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD ’12)
-
Papalexakis EE, Faloutsos C, Sidiropoulos ND (2012) ParCube: sparse parallelizable tensor decompositions. In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD ’12), pp 521–536
-
(2012)
Pp 521–536
-
-
Papalexakis, E.E.1
Faloutsos, C.2
Sidiropoulos, N.D.3
-
31
-
-
84872112858
-
From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors
-
Papalexakis EE, Sidiropoulos N, Bro R (2013) From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors. IEEE Trans Signal Process 61(2):493–506
-
(2013)
IEEE Trans Signal Process
, vol.61
, Issue.2
, pp. 493-506
-
-
Papalexakis, E.E.1
Sidiropoulos, N.2
Bro, R.3
-
32
-
-
0018015137
-
Modeling by shortest data description
-
Rissanen J (1978) Modeling by shortest data description. Automatica 14(5):465–471
-
(1978)
Automatica
, vol.14
, Issue.5
, pp. 465-471
-
-
Rissanen, J.1
-
33
-
-
10444255508
-
Upper bound for the approximation ratio of a class of hypercube segmentation algorithms
-
Seppänen JK (2005) Upper bound for the approximation ratio of a class of hypercube segmentation algorithms. Inform Process Lett 93(3):139–141
-
(2005)
Inform Process Lett
, vol.93
, Issue.3
, pp. 139-141
-
-
Seppänen, J.K.1
-
34
-
-
35148867982
-
Yago: a core of semantic knowledge. In: 16th International Conference on World Wide Web (WWW ’07)
-
Suchanek FM, Kasneci G, Weikum G (2007) Yago: a core of semantic knowledge. In: 16th International Conference on World Wide Web (WWW ’07), pp 697–706
-
(2007)
Pp 697–706
-
-
Suchanek, F.M.1
Kasneci, G.2
Weikum, G.3
-
35
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
Tucker LR (1966) Some mathematical notes on three-mode factor analysis. Psychometrika 31(3):279–311
-
(1966)
Psychometrika
, vol.31
, Issue.3
, pp. 279-311
-
-
Tucker, L.R.1
-
36
-
-
84995477295
-
On the evolution of user interaction in Facebook. In: 2nd ACM Workshop on Online Social Networks (WOSN ’09)
-
Viswanath B, Mislove A, Cha M, Gummadi KP (2009) On the evolution of user interaction in Facebook. In: 2nd ACM Workshop on Online Social Networks (WOSN ’09), pp 37–42
-
(2009)
Pp 37–42
-
-
Viswanath, B.1
Mislove, A.2
Cha, M.3
Gummadi, K.P.4
-
37
-
-
65349191273
-
Unsupervised methods for determining object and relation synonyms on the web
-
Yates A, Etzioni O (2009) Unsupervised methods for determining object and relation synonyms on the web. J Artif Intell Res 34:255–296
-
(2009)
J Artif Intell Res
, vol.34
, pp. 255-296
-
-
Yates, A.1
Etzioni, O.2
-
38
-
-
29844442223
-
TRICLUSTER: an effective algorithm for mining coherent clusters in 3D microarray data. In: ACM SIGMOD International Conference on Management of Data (SIGMOD ’05)
-
Zhao L, Zaki MJ (2005) TRICLUSTER: an effective algorithm for mining coherent clusters in 3D microarray data. In: ACM SIGMOD International Conference on Management of Data (SIGMOD ’05), pp 694–705
-
(2005)
Pp 694–705
-
-
Zhao, L.1
Zaki, M.J.2
|