-
1
-
-
0002442366
-
On the computation of multidimensional aggregates
-
S. Agarwal, R. Agreal, P. M. Deshpande, A. Gupta, J. F. Naughton, R. Ramakrishnan, and S. Sarawagi. On the computation of multidimensional aggregates. VLDB'96.
-
VLDB'96
-
-
Agarwal, S.1
Agreal, R.2
Deshpande, P.M.3
Gupta, A.4
Naughton, J.F.5
Ramakrishnan, R.6
Sarawagi, S.7
-
2
-
-
0001882616
-
Fast algorithm for mining association rules
-
R. Agrawal and R. Srikant. Fast algorithm for mining association rules. VLDB'94.
-
VLDB'94
-
-
Agrawal, R.1
Srikant, R.2
-
3
-
-
85012147171
-
Materialized view selection in a multidimensional database
-
E. Baralis, S. Paraboschi, and E. Teniente. Materialized view selection in a multidimensional database. VLDB'97, 98-12.
-
VLDB'97
, pp. 98-112
-
-
Baralis, E.1
Paraboschi, S.2
Teniente, E.3
-
4
-
-
0001853449
-
Quasi-cubes: Exploiting approximation in multidimensional database
-
D. Barbara and M. Sullivan. Quasi-cubes: Exploiting approximation in multidimensional database. SIG-MOD Record, 26:12-17, 1997.
-
(1997)
SIG-MOD Record
, vol.26
, pp. 12-17
-
-
Barbara, D.1
Sullivan, M.2
-
5
-
-
5444255998
-
Using loglinear models to compress datacube
-
D. Barbara and X. Wu. Using loglinear models to compress datacube. WAIM'00, 311-322.
-
WAIM'00
, pp. 311-322
-
-
Barbara, D.1
Wu, X.2
-
6
-
-
0008707038
-
Bottom-up computation of sparse and iceberg cubes
-
K. Beyer and R. Ramakrishnan. Bottom-up computation of sparse and iceberg cubes. SIGMOD'99, 359-370.
-
SIGMOD'99
, pp. 359-370
-
-
Beyer, K.1
Ramakrishnan, R.2
-
7
-
-
84870689573
-
Multi-dimensional regression analysis of time-series data streams
-
Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, Multi-Dimensional Regression Analysis of Time-Series Data Streams. VLDB'02.
-
VLDB'02
-
-
Chen, Y.1
Dong, G.2
Han, J.3
Wah, B.W.4
Wang, J.5
-
8
-
-
21744433274
-
Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals
-
J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow and H. Pirahesh. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals. Data Mining and Knowledge Discovery, 1:29-54, 1997.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 29-54
-
-
Gray, J.1
Chaudhuri, S.2
Bosworth, A.3
Layman, A.4
Reichart, D.5
Venkatrao, M.6
Pellow, F.7
Pirahesh, H.8
-
9
-
-
84948964173
-
Selection of views to materialize in a data warehouse
-
H. Gupta. Selection of views to materialize in a data warehouse. ICDT'97, 98-112.
-
ICDT'97
, pp. 98-112
-
-
Gupta, H.1
-
11
-
-
0039562917
-
Efficient computation of iceberg cubes with complex measures
-
J. Han, J. Pei, G. Dong, and K. Wang. Efficient computation of iceberg cubes with complex measures. SIG-MOD'01, 1-12.
-
SIG-MOD'01
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Dong, G.3
Wang, K.4
-
12
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
J. Han, J. Pei, and Y. Yin. Mining Frequent Patterns without Candidate Generation. SIGMOD'00, 1-12.
-
SIGMOD'00
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
14
-
-
0141576771
-
Cubegrades: Generalizing association rules
-
T. Imielinski, L. Khachiyan, and A. Abdulghani. Cubegrades: Generalizing Association Rules. Data Mining and Knowledge Discovery, 6(3):219-258, 2002.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, Issue.3
, pp. 219-258
-
-
Imielinski, T.1
Khachiyan, L.2
Abdulghani, A.3
-
15
-
-
2442673631
-
Quotient cubes: How to summarize the semantics of a data cube
-
L. V. S. Lakeshmanan, J. Pei and J. Han. Quotient Cubes: How to Summarize the Semantics of a Data Cube. VLDB'02.
-
VLDB'02
-
-
Lakeshmanan, L.V.S.1
Pei, J.2
Han, J.3
-
16
-
-
1142291601
-
QC-trees: An efficient summary structure for semantic OLAP
-
L. V. S. Lakeshmanan, J. Pei and Y. Zhao. QC-Trees: An Efficient Summary Structure for Semantic OLAP, SIGMOD'03.
-
SIGMOD'03
-
-
Lakeshmanan, L.V.S.1
Pei, J.2
Zhao, Y.3
-
17
-
-
0032092760
-
Exploratory mining and pruning optimizations of constrained associations rules
-
R. Ng, L. V. S. Lakeshmanan, J. Han and A. Pang. Exploratory Mining and Pruning Optimizations of Constrained Associations Rules, SIGMOD'98.
-
SIGMOD'98
-
-
Ng, R.1
Lakeshmanan, L.V.S.2
Han, J.3
Pang, A.4
-
18
-
-
0001580396
-
Fast computation of sparse datacubes
-
K. Ross and D. Srivastava. Fast Computation of sparse datacubes. VLDB'97.
-
VLDB'97
-
-
Ross, K.1
Srivastava, D.2
-
20
-
-
0002678075
-
Compressed data cubes for OLAP aggregate query approximation on continuous dimension
-
J. Shanmugasundaram, U. M. Fayyad, and P. S. Bradley. Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimension. KDD'99.
-
KDD'99
-
-
Shanmugasundaram, J.1
Fayyad, U.M.2
Bradley, P.S.3
-
23
-
-
0002683757
-
Data Cube approximation and histograms via wavelets
-
J. S. Vitter, M. Wang, and B. R. Iyer. Data Cube approximation and histograms via wavelets. CIKM'98.
-
CIKM'98
-
-
Vitter, J.S.1
Wang, M.2
Iyer, B.R.3
-
24
-
-
0036203284
-
Condensed cube: An effective approach to reducing data cube size
-
W. Wang, J. Feng, H. Lu and J. X. Yu. Condensed Cube: An Effective Approach to Reducing Data Cube Size. ICDE'02.
-
ICDE'02
-
-
Wang, W.1
Feng, J.2
Lu, H.3
Yu, J.X.4
-
25
-
-
0031162046
-
An array-based algorithm for simultaneous multidimensional aggregates
-
Y. Zhao, P. Deshpande, J. F. Naughton: An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. SIGMOD'97.
-
SIGMOD'97
-
-
Zhao, Y.1
Deshpande, P.2
Naughton, J.F.3
|