-
1
-
-
84891746905
-
-
R.J. Alcock, Y. Manolopoulos (1999) < http://kdd.ics.uci.edu/ databases/synthetic-control/synthetic-control.data.html >.
-
(1999)
-
-
Alcock, R.J.1
Manolopoulos, Y.2
-
2
-
-
2442512707
-
Time-series similarity queries employing a feature-based approach
-
August 27-29 Ioannina, Greece
-
R.J Alcock, Y. Manolopoulos, Time-series similarity queries employing a feature-based approach, in: 7th Hellenic Conference on Informatics, August 27-29, 1999, Ioannina, Greece.
-
(1999)
7th Hellenic Conference on Informatics
-
-
Alcock, R.J.1
Manolopoulos, Y.2
-
3
-
-
49849124931
-
On the choice of sampling rates in parametric identification of time series
-
K.J. Astrom On the choice of sampling rates in parametric identification of time series Information Sciences 1 3 1969 273 278
-
(1969)
Information Sciences
, vol.1
, Issue.3
, pp. 273-278
-
-
Astrom, K.J.1
-
5
-
-
33745108812
-
Bit level representation for time series data mining with shape based similarity
-
A. Bagnall, C.A. Ratanamahatana, E. Keogh, S. Lonardi, and G.A. Janacek Bit level representation for time series data mining with shape based similarity Data Mining and Knowledge Discovery 13 1 2006 11 40
-
(2006)
Data Mining and Knowledge Discovery
, vol.13
, Issue.1
, pp. 11-40
-
-
Bagnall, A.1
Ratanamahatana, C.A.2
Keogh, E.3
Lonardi, S.4
Janacek, G.A.5
-
6
-
-
84947205653
-
When is "nearest Neighbor" Meaningful?
-
K. Beyer, J. Goldstein, R. Ramakrishnan, U. Shaft, When is "Nearest Neighbor" Meaningful?, in: Proceedings of the 7th International Conference on Database Theory - ICDT'99, 1999, pp. 217-235.
-
(1999)
Proceedings of the 7th International Conference on Database Theory - ICDT'99
, pp. 217-235
-
-
Beyer, K.1
Goldstein, J.2
Ramakrishnan, R.3
Shaft, U.4
-
8
-
-
26444512085
-
Design of multiple classifier systems for time series data
-
Seaside, USA
-
L. Chen, M.S. Kamel, Design of multiple classifier systems for time series data, in: Proceedings of 6th International Workshop MCS Multiple Classifier Systems, Seaside, USA, 2005, pp. 216-225.
-
(2005)
Proceedings of 6th International Workshop MCS Multiple Classifier Systems
, pp. 216-225
-
-
Chen, L.1
Kamel, M.S.2
-
9
-
-
84883211513
-
Using multi-scale histograms to answer pattern existence and shape match queries
-
L. Chen, M.T. Ozsu, V. Oria, Using multi-scale histograms to answer pattern existence and shape match queries, in: Proceedings of 17th International Conference on Scientific and Statistical Database Management, 2005, pp. 217-226.
-
(2005)
Proceedings of 17th International Conference on Scientific and Statistical Database Management
, pp. 217-226
-
-
Chen, L.1
Ozsu, M.T.2
Oria, V.3
-
10
-
-
4844229413
-
Flexible time series pattern matching based on perceptually important points
-
F.L. Chung, T.C. Fu, R. Luk, V. Ng, Flexible time series pattern matching based on perceptually important points, in: International Joint Conference on Artificial Intelligence Workshop on Learning from Temporal and Spatial Data, 2005, pp. 1-7.
-
(2005)
International Joint Conference on Artificial Intelligence Workshop on Learning from Temporal and Spatial Data
, pp. 1-7
-
-
Chung, F.L.1
Fu, T.C.2
Luk, R.3
Ng, V.4
-
11
-
-
0024861871
-
Approximations by superpositions of sigmoidal functions
-
G. Cybenko Approximations by superpositions of sigmoidal functions Mathematics of Control, Signals, and Systems 2 4 1989 303 314
-
(1989)
Mathematics of Control, Signals, and Systems
, vol.2
, Issue.4
, pp. 303-314
-
-
Cybenko, G.1
-
13
-
-
0002101112
-
A statistical perspective on knowledge discovery in databases
-
U.M. Fayyad, G. Shapiro, P. Smyth, R. Uthurusamy, AAAI Press Menlo Park, CA
-
J. Elder IV, and D. Pregibon A statistical perspective on knowledge discovery in databases U.M. Fayyad, G. Shapiro, P. Smyth, R. Uthurusamy, Advances in Knowledge Discovery and Data Mining 1996 AAAI Press Menlo Park, CA 83 113
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 83-113
-
-
Elder, I.V.J.1
Pregibon, D.2
-
15
-
-
0344235442
-
Feature selection for support vector machines by means of genetic algorithms
-
H. Frohlich, O. Chapelle, and B. Scholkopf Feature selection for support vector machines by means of genetic algorithms ICTAI 2003 42 148
-
(2003)
ICTAI
, pp. 42-148
-
-
Frohlich, H.1
Chapelle, O.2
Scholkopf, B.3
-
19
-
-
0242410408
-
G. Benchmarking attribute selection techniques for discrete class data mining
-
M. Hall, and G. Holmes G. Benchmarking attribute selection techniques for discrete class data mining IEEE Transactions on Knowledge Data Engineering 15 6 2003 1437 1447
-
(2003)
IEEE Transactions on Knowledge Data Engineering
, vol.15
, Issue.6
, pp. 1437-1447
-
-
Hall, M.1
Holmes, G.2
-
22
-
-
0014129195
-
Hierarchical clustering schemes
-
S.C. Johnson Hierarchical clustering schemes Psychometrika 2 1967 241 254
-
(1967)
Psychometrika
, vol.2
, pp. 241-254
-
-
Johnson, S.C.1
-
24
-
-
26944439845
-
An integer programming approach to inductive learning using genetic and greedy algorithms
-
L.C. Jain, J. Kacprzyk, Studies in Fuzziness and Soft Computing Physica-Verlag Heidelberg
-
J. Kacprzyk, and G. Szkatuła An integer programming approach to inductive learning using genetic and greedy algorithms L.C. Jain, J. Kacprzyk, New Learning Paradigms in Soft Computing Studies in Fuzziness and Soft Computing 2002 Physica-Verlag Heidelberg 323 367
-
(2002)
New Learning Paradigms in Soft Computing
, pp. 323-367
-
-
Kacprzyk, J.1
Szkatuła, G.2
-
25
-
-
26944488683
-
A softened formulation of inductive learning and its use for coronary disease data
-
J. Kacprzyk, and G. Szkatuła A softened formulation of inductive learning and its use for coronary disease data Lecture Notes in Artificial Intelligence 3488 2005 200 209
-
(2005)
Lecture Notes in Artificial Intelligence
, vol.3488
, pp. 200-209
-
-
Kacprzyk, J.1
Szkatuła, G.2
-
26
-
-
33646237568
-
An inductive learning algorithm with a partial completeness and consistence via a modified set covering problem
-
J. Kacprzyk, and G. Szkatuła An inductive learning algorithm with a partial completeness and consistence via a modified set covering problem Lecture Notes in Computer Science 3697 2005 661 666
-
(2005)
Lecture Notes in Computer Science
, vol.3697
, pp. 661-666
-
-
Kacprzyk, J.1
Szkatuła, G.2
-
27
-
-
74049129353
-
Inductive learning: A combinatorial optimization
-
J. Koronacki, Z.W. Ras, S.T. Wierzchoń, J. Kacprzyk, Springer
-
J. Kacprzyk, and G. Szkatuła Inductive learning: a combinatorial optimization J. Koronacki, Z.W. Ras, S.T. Wierzchoń, J. Kacprzyk, Advances in Machine Learning, Studies in Computational Intelligence vol. 262 2010 Springer
-
(2010)
Advances in Machine Learning, Studies in Computational Intelligence
, vol.262
-
-
Kacprzyk, J.1
Szkatuła, G.2
-
29
-
-
85040241330
-
Dimensionality reduction for fast similarity search in large time series databases
-
E. Keogh, K. Chakrabarti, M. Pazzani, and S. Mehrotra Dimensionality reduction for fast similarity search in large time series databases Journal of Knowledge Information Systems 3 3 2000 263 286
-
(2000)
Journal of Knowledge Information Systems
, vol.3
, Issue.3
, pp. 263-286
-
-
Keogh, E.1
Chakrabarti, K.2
Pazzani, M.3
Mehrotra, S.4
-
30
-
-
0034832364
-
Locally adaptive dimensionality reduction for indexing large time series databases
-
E. Keogh, K. Chakrabarti, S. Mehrotra, M. Pazzani, Locally adaptive dimensionality reduction for indexing large time series databases, in: Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data, 2001, pp. 151-163.
-
(2001)
Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data
, pp. 151-163
-
-
Keogh, E.1
Chakrabarti, K.2
Mehrotra, S.3
Pazzani, M.4
-
31
-
-
0034832364
-
Locally adaptive dimensionality reduction for indexing large time series databases
-
Santa Barbara, May 21-24
-
E. Keogh, K. Chakrabarti, M. Pazzani, Locally adaptive dimensionality reduction for indexing large time series databases, in: Proceedings of ACM SIGMOD Conference on Management of Data, Santa Barbara, May 21-24, 2001, pp. 151-162.
-
(2001)
Proceedings of ACM SIGMOD Conference on Management of Data
, pp. 151-162
-
-
Keogh, E.1
Chakrabarti, K.2
Pazzani, M.3
-
37
-
-
84855802552
-
Heuristic dynamic programming - Learning as control problem
-
L. Rutkowski, J. Kacprzyk, Physica Verlag Heidelberg
-
M. Krawczak Heuristic dynamic programming - learning as control problem L. Rutkowski, J. Kacprzyk, Neural Networks and Soft Computing 2003 Physica Verlag Heidelberg 218 223
-
(2003)
Neural Networks and Soft Computing
, pp. 218-223
-
-
Krawczak, M.1
-
38
-
-
84855814660
-
On decision rules application to time series classification
-
K.T. Atanassov, et al. (Eds.) Ac. Publ. House EXIT
-
M. Krawczak, G. Szkatuła, On decision rules application to time series classification, in: K.T. Atanassov, et al. (Eds.), Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, Ac. Publ. House EXIT, 2008.
-
(2008)
Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics
-
-
Krawczak, M.1
-
39
-
-
77957834373
-
Time series envelopes for classification
-
London, July 7-9
-
M. Krawczak, G. Szkatuła, Time series envelopes for classification, in: IEEE Intelligent Systems Conference, London, July 7-9, 2010.
-
(2010)
IEEE Intelligent Systems Conference
-
-
Krawczak, M.1
-
40
-
-
84861091560
-
On time series envelopes for classification problems
-
K.T. Atanassov, et al. (Eds.) SRI PAS, Warsaw
-
M. Krawczak, G. Szkatuła, On time series envelopes for classification problems, in: K.T. Atanassov, et al. (Eds.), Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. II, SRI PAS, Warsaw, 2010.
-
(2010)
Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. II
-
-
Krawczak, M.1
-
42
-
-
84855799004
-
A hybrid approach for dimension reduction in classification
-
M. Krawczak, and G. Szkatuła A hybrid approach for dimension reduction in classification Control and Cybernetics 40 2 2011 527 552
-
(2011)
Control and Cybernetics
, vol.40
, Issue.2
, pp. 527-552
-
-
Krawczak, M.1
Szkatuła, G.2
-
43
-
-
84861049710
-
A clustering algorithm based on distinguishability for nominal attributes
-
Springer-Verlag
-
M. Krawczak, and G. Szkatuła A clustering algorithm based on distinguishability for nominal attributes Lecture Notes in Artificial Intelligence vol. 7268 2012 Springer-Verlag 120 127
-
(2012)
Lecture Notes in Artificial Intelligence
, vol.7268
, pp. 120-127
-
-
Krawczak, M.1
Szkatuła, G.2
-
44
-
-
84886456966
-
Dimension reduction of time series for the clustering problem
-
K.T. Atanassov, W. Homenda, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt, S. Zadrozny (Eds.) SRI PAS, Warsaw
-
M. Krawczak, G. Szkatuła, Dimension reduction of time series for the clustering problem, in: K.T. Atanassov, W. Homenda, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt, S. Zadrozny (Eds.), New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, Applications, vol. II, SRI PAS, Warsaw, 2012, pp. 101-110.
-
(2012)
New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, Applications
, vol.2
, pp. 101-110
-
-
Krawczak, M.1
-
45
-
-
84869854366
-
Nominal time series representation for the clustering problem
-
Sofia
-
M. Krawczak, G. Szkatuła, Nominal time series representation for the clustering problem, in: IEEE 6th International Conference, Intelligent Systems, Sofia, 2012, pp. 182-187.
-
(2012)
IEEE 6th International Conference, Intelligent Systems
, pp. 182-187
-
-
Krawczak, M.1
-
47
-
-
84886535666
-
A new measure of groups perturbation
-
M. Krawczak, G. Szkatuła, A new measure of groups perturbation, in: IFSA World Congress, 2013, pp. 1291-1296.
-
(2013)
IFSA World Congress
, pp. 1291-1296
-
-
Krawczak, M.1
-
48
-
-
84866184247
-
Neural network classifier of time series: A case study of symbolic representation preprocessing for control chart patterns
-
K. Lavangnananda, P. Sawasdimongkol, Neural network classifier of time series: a case study of symbolic representation preprocessing for control chart patterns, in: 8th International Conference on Natural Computation, 2012, pp. 351-356.
-
(2012)
8th International Conference on Natural Computation
, pp. 351-356
-
-
Lavangnananda, K.1
Sawasdimongkol, P.2
-
49
-
-
84869046075
-
Utilizing symbolic representation in synergistic neural networks classifier of control chart patterns
-
K. Lavangnananda, and P. Sawasdimongkol Utilizing symbolic representation in synergistic neural networks classifier of control chart patterns Lecture Notes in Computer Science 7666 2012 313 321
-
(2012)
Lecture Notes in Computer Science
, vol.7666
, pp. 313-321
-
-
Lavangnananda, K.1
Sawasdimongkol, P.2
-
50
-
-
85015906886
-
Utilizing symbolic representation and evolutionary computation in classification of control chart patterns
-
August, Passau, Germany
-
K. Lavangnananda, C. Wongwattanakarn, Utilizing symbolic representation and evolutionary computation in classification of control chart patterns, in: Proceedings of the 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications (SMCia/07), August, Passau, Germany, 2007, pp. 79-84.
-
(2007)
Proceedings of the 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications (SMCia/07)
, pp. 79-84
-
-
Lavangnananda, K.1
Wongwattanakarn, C.2
-
51
-
-
0041846886
-
Dimensionality reduction for indexing time series based on the minimum distance
-
S. Lee, D. Kwon, and S. Lee Dimensionality reduction for indexing time series based on the minimum distance Journal of Information Science and Engineering 19 2003 697 711
-
(2003)
Journal of Information Science and Engineering
, vol.19
, pp. 697-711
-
-
Lee, S.1
Kwon, D.2
Lee, S.3
-
52
-
-
33745781710
-
A symbolic representation of time series, with implications for streaming algorithms
-
13 June, San Diego, CA, USA
-
J. Lin, E.J. Keogh, S. Lonardi, B. Chiu, A symbolic representation of time series, with implications for streaming algorithms, in: Proceedings of 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 13 June, San Diego, CA, USA, 2003.
-
(2003)
Proceedings of 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
-
-
Lin, J.1
Keogh, E.J.2
Lonardi, S.3
Chiu, B.4
-
53
-
-
8344241451
-
Finding motifs in time series
-
Edmonton, Canada
-
J. Lin, E. Keogh, P. Patel, S. Lonardi, Finding motifs in time series, in: 2nd Workshop on Temporal Data Mining, the 8th ACM International Conference on Knowledge Discovery and Data Mining, Edmonton, Canada, 2002, pp. 53-68.
-
(2002)
2nd Workshop on Temporal Data Mining, the 8th ACM International Conference on Knowledge Discovery and Data Mining
, pp. 53-68
-
-
Lin, J.1
Keogh, E.2
Patel, P.3
Lonardi, S.4
-
54
-
-
34548093287
-
Experiencing SAX: A novel symbolic representation of time series
-
J. Lin, E. Keogh, L. Wei, and S. Lonardi Experiencing SAX: a novel symbolic representation of time series Journal Data Mining and Knowledge Discovery 15 2 2007 107 144
-
(2007)
Journal Data Mining and Knowledge Discovery
, vol.15
, Issue.2
, pp. 107-144
-
-
Lin, J.1
Keogh, E.2
Wei, L.3
Lonardi, S.4
-
55
-
-
67650401752
-
-
Technical Report TCD-CS-2005-37, Department of Computer Science, Trinity College Dublin, Dublin, Ireland
-
J. Loughrey, P. Cunningham, Using Early-Stopping to Avoid Overfitting in Wrapper-Based Feature Selection Employing Stochastic Search, Technical Report TCD-CS-2005-37, Department of Computer Science, Trinity College Dublin, Dublin, Ireland, 2005.
-
(2005)
Using Early-Stopping to Avoid Overfitting in Wrapper-Based Feature Selection Employing Stochastic Search
-
-
Loughrey, J.1
Cunningham, P.2
-
59
-
-
0026954958
-
Principal components, minor components and linear neural networks
-
E. Oja Principal components, minor components and linear neural networks Neural Networks 5 1992 927 935
-
(1992)
Neural Networks
, vol.5
, pp. 927-935
-
-
Oja, E.1
-
60
-
-
26944466361
-
Novel bit level time series representation with implications for similarity search and clustering
-
C.A. Ratanamahatana, E. Keogh, A.J. Bagnall, S. Lonardi, Novel bit level time series representation with implications for similarity search and clustering, in: Proceedings of the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2005, pp. 771-777.
-
(2005)
Proceedings of the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining
, pp. 771-777
-
-
Ratanamahatana, C.A.1
Keogh, E.2
Bagnall, A.J.3
Lonardi, S.4
-
61
-
-
84974705046
-
Learning first order logic time series classifiers: Rules and boosting
-
J.J. Rodriguez, C.J. Alonso, H. Boström, Learning first order logic time series classifiers: rules and boosting, in: Principles of Data Mining and Knowledge Discovery: 4th European Conference, LNAI, vol. 1910, 2000, pp. 299-308.
-
(2000)
Principles of Data Mining and Knowledge Discovery: 4th European Conference, LNAI
, vol.1910
, pp. 299-308
-
-
Rodriguez, J.J.1
-
63
-
-
53949108553
-
TSA-tree: A wavelet-based approach to improve the efficiency of multi-level surprise and trend queries
-
Berlin
-
C. Shahabi, X. Tian, W. Zhao, TSA-tree: a wavelet-based approach to improve the efficiency of multi-level surprise and trend queries, in: Proceedings of the 12th International Conference on Scientific and Statistical Database Management, Berlin, 2000, pp. 55-68.
-
(2000)
Proceedings of the 12th International Conference on Scientific and Statistical Database Management
, pp. 55-68
-
-
Shahabi, C.1
Tian, X.2
Zhao, W.3
-
66
-
-
0347942676
-
-
(In Polish), Ph.D. Thesis, SRI PAS Warsaw, Poland
-
G. Szkatuła, Machine Learning From Examples Under Errors in Data, (In Polish), Ph.D. Thesis, SRI PAS Warsaw, Poland, 1995.
-
(1995)
Machine Learning from Examples under Errors in Data
-
-
Szkatuła, G.1
-
67
-
-
84855807917
-
Application of modified covering problem in machine learning
-
J. Gutenbaum (Ed.) SRI PAS, Warsaw
-
G. Szkatuła, Application of modified covering problem in machine learning, in: J. Gutenbaum (Ed.), Automatics Control Management, SRI PAS, Warsaw, 2002, pp. 431-445.
-
(2002)
Automatics Control Management
, pp. 431-445
-
-
Szkatuła, G.1
-
68
-
-
74049125457
-
An inductive learning algorithm with a partial completeness and consistency
-
M. Dramiński, P. Grzegorzewski, T. Trojanowski, S. Zadrozny (Eds.) EXIT, Warszawa
-
G. Szkatuła, J. Kacprzyk, An inductive learning algorithm with a partial completeness and consistency, in: M. Dramiński, P. Grzegorzewski, T. Trojanowski, S. Zadrozny (Eds.), Issues in Intelligent Systems, Models and Techniques, EXIT, Warszawa, 2005, pp. 229-246.
-
(2005)
Issues in Intelligent Systems, Models and Techniques
, pp. 229-246
-
-
Szkatuła, G.1
-
70
-
-
33749260341
-
Fast time series classification using numerosity reduction
-
X. Xi, E. Keogh, C. Shelton, L. Wei, C.A. Ratanamahatana, Fast time series classification using numerosity reduction, in: Proceedings of the 23rd International Conference on Machine Learning, 2006, pp. 1033-1040.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 1033-1040
-
-
Xi, X.1
Keogh, E.2
Shelton, C.3
Wei, L.4
Ratanamahatana, C.A.5
-
71
-
-
78649658587
-
X. A New approach to transforming time series into symbolic sequences
-
O. Yang, W. Jia, P. Zhou, X. Meng, X. A New approach to transforming time series into symbolic sequences, in: Proceedings of the First Joint Conference between the Biomedical Engineering Society and Engineers in Medicine and Biology, vol. 974, 1999.
-
(1999)
Proceedings of the First Joint Conference between the Biomedical Engineering Society and Engineers in Medicine and Biology
, vol.974
-
-
Yang, O.1
Jia, W.2
Zhou, P.3
Meng, X.4
-
74
-
-
0032266023
-
Application of symbolic techniques in detecting determinism in time series
-
Z. Yang, G. Zhao, Application of symbolic techniques in detecting determinism In time series, in: Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 20(5), 1998, pp. 2670-2673.
-
(1998)
Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
, vol.20
, Issue.5
, pp. 2670-2673
-
-
Yang, Z.1
Zhao, G.2
-
76
-
-
33645471785
-
Feature subset selection and feature ranking for multivariate time series
-
H. Yoon, K. Yang, and C. Shahabi Feature subset selection and feature ranking for multivariate time series IEEE Transactions on Knowledge and Data Engineering, Special Issue on Intelligent Data Preparation 17 9 2005 1186 1198
-
(2005)
IEEE Transactions on Knowledge and Data Engineering, Special Issue on Intelligent Data Preparation
, vol.17
, Issue.9
, pp. 1186-1198
-
-
Yoon, H.1
Yang, K.2
Shahabi, C.3
-
78
-
-
0000599779
-
Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments
-
J. Wnek, and R.S. Michalski Hypothesis-driven constructive induction in AQ17-HCI: a method and experiments Machine Learning 14 1994 139 168
-
(1994)
Machine Learning
, vol.14
, pp. 139-168
-
-
Wnek, J.1
Michalski, R.S.2
-
79
-
-
18744386419
-
Distance-function design and fusion for sequence data
-
Y. Wu, E.Y. Chang, Distance-function design and fusion for sequence data. in: CIKM'04, 2004, pp. 324-333.
-
(2004)
CIKM'04
, pp. 324-333
-
-
Wu, Y.1
Chang, E.Y.2
|