-
1
-
-
0027621699
-
Mining association rules between sets of items in large database
-
R. Agrawal, T. Imielinski, and A. Swami, "Mining association rules between sets of items in large database," in Proc. ACM SIGMOD Int. Conf. Manage. Data, 1993, pp. 207-216.
-
(1993)
Proc. ACM SIGMOD Int. Conf. Manage. Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
2
-
-
0001882616
-
Fast algorithms for mining association rules
-
R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in Proc. Int. Conf. VLDB, 1994, pp. 487-499.
-
(1994)
Proc. Int. Conf. VLDB
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
4
-
-
0038005421
-
A statistical theory for quantitative association rules
-
May
-
Y. Aumann and Y. Lindell, "A statistical theory for quantitative association rules," J. Intell. Inf. Syst., vol. 20, no. 3, pp. 255-283, May 2003.
-
(2003)
J. Intell. Inf. Syst
, vol.20
, Issue.3
, pp. 255-283
-
-
Aumann, Y.1
Lindell, Y.2
-
5
-
-
0003802343
-
-
Belmont, CA: Wadsworth
-
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Belmont, CA: Wadsworth, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
6
-
-
0031162961
-
Dynamic itemset counting and implication rules for market basket data
-
S. Brin, R. Motwani, J. D. Ullman, and S. Tsur, "Dynamic itemset counting and implication rules for market basket data," in Proc. ACM SIGMOD Int. Conf. Manage. Data, 1997, pp. 255-264.
-
(1997)
Proc. ACM SIGMOD Int. Conf. Manage. Data
, pp. 255-264
-
-
Brin, S.1
Motwani, R.2
Ullman, J.D.3
Tsur, S.4
-
7
-
-
0036037242
-
Decision tree classification of spatial data streams using Peano Count Trees
-
Q. Ding, Q. Ding, and W. Perrizo, "Decision tree classification of spatial data streams using Peano Count Trees," in Proc. ACM Symp. Appl. Comput., 2002, pp. 413-417.
-
(2002)
Proc. ACM Symp. Appl. Comput
, pp. 413-417
-
-
Ding, Q.1
Ding, Q.2
Perrizo, W.3
-
8
-
-
23044519025
-
Spatial data mining: Database primitives, algorithms and efficient DBMS support
-
Jul
-
M. Ester, A. Frommelt, H. P. Kriegel, and J. Sander, "Spatial data mining: Database primitives, algorithms and efficient DBMS support," Data Mining Knowl. Discov., vol. 4, no. 2/3, pp. 193-216, Jul. 2000.
-
(2000)
Data Mining Knowl. Discov
, vol.4
, Issue.2-3
, pp. 193-216
-
-
Ester, M.1
Frommelt, A.2
Kriegel, H.P.3
Sander, J.4
-
9
-
-
84885618002
-
Spatial data mining: A database approach
-
M. Ester, H. P. Kriegel, and J. Sander, "Spatial data mining: A database approach," in Proc. Int. Symp. Large Spatial Databases, 1997, pp. 47-66.
-
(1997)
Proc. Int. Symp. Large Spatial Databases
, pp. 47-66
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
-
10
-
-
0016353777
-
Quad trees: A data structure for retrieval on composite key
-
Mar
-
R. A. Finkel and J. L. Bentley, "Quad trees: A data structure for retrieval on composite key," Acta Inf., vol. 4, no. 1, pp. 1-9, Mar. 1974.
-
(1974)
Acta Inf
, vol.4
, Issue.1
, pp. 1-9
-
-
Finkel, R.A.1
Bentley, J.L.2
-
11
-
-
0033076953
-
Mining optimized association rules for numeric attributes
-
Feb
-
T. Fukada, Y. Morimoto, S. Morishita, and T. Tokuyama, "Mining optimized association rules for numeric attributes," J. Comput. Syst. Sci., vol. 58, no. 1, pp. 1-12, Feb. 1999.
-
(1999)
J. Comput. Syst. Sci
, vol.58
, Issue.1
, pp. 1-12
-
-
Fukada, T.1
Morimoto, Y.2
Morishita, S.3
Tokuyama, T.4
-
12
-
-
0032083561
-
Multidimensional access methods
-
Jun
-
V. Gaede and O. Gunther, "Multidimensional access methods," ACM Comput. Surv., vol. 30, no. 2, pp. 170-231, Jun. 1998.
-
(1998)
ACM Comput. Surv
, vol.30
, Issue.2
, pp. 170-231
-
-
Gaede, V.1
Gunther, O.2
-
13
-
-
84930881609
-
Run-length encodings
-
Jul
-
S. W. Golomb, "Run-length encodings," IEEE Trans. Inf. Theory, vol. IT-12, no. 3, pp. 399-401, Jul. 1966.
-
(1966)
IEEE Trans. Inf. Theory
, vol.IT-12
, Issue.3
, pp. 399-401
-
-
Golomb, S.W.1
-
14
-
-
0033311838
-
Mining multiple-level association rules in large databases
-
Sep./Oct
-
J. Han and Y. Fu, "Mining multiple-level association rules in large databases," IEEE Trans. Knowl. Data Eng., vol. 11, no. 5, pp. 798-805, Sep./Oct. 1999.
-
(1999)
IEEE Trans. Knowl. Data Eng
, vol.11
, Issue.5
, pp. 798-805
-
-
Han, J.1
Fu, Y.2
-
15
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
J. Han, J. Pei, and Y. Yin, "Mining frequent patterns without candidate generation," in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2000, pp. 1-12.
-
(2000)
Proc. ACM SIGMOD Int. Conf. Manage. Data
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
16
-
-
0034655867
-
Global land cover classification at 1 km spatial resolution using a decision tree classifier
-
M. Hansen, R. DeFries, J. R. G. Townshend, and R. Sohlberg, "Global land cover classification at 1 km spatial resolution using a decision tree classifier," Int. J. Remote Sens., vol. 21, no. 6/7, pp. 1331-1364, 2000.
-
(2000)
Int. J. Remote Sens
, vol.21
, Issue.6-7
, pp. 1331-1364
-
-
Hansen, M.1
DeFries, R.2
Townshend, J.R.G.3
Sohlberg, R.4
-
17
-
-
57049118636
-
-
HH-Codes, Online, Available
-
HH-Codes. [Online]. Available: http://helical.ns.ca/documents/ papers/hhcode.php
-
-
-
-
18
-
-
84945279952
-
K-nearest neighbor classification on spatial data stream using p-trees
-
Berlin, Germany: Springer-Verlag
-
M. Khan, Q. Ding, and W. Perrizo, "K-nearest neighbor classification on spatial data stream using p-trees," in Proc. Pacific-Asia Conf. Knowl. Discovery Data Mining. Berlin, Germany: Springer-Verlag, 2002, vol. 2336, pp. 517-528.
-
(2002)
Proc. Pacific-Asia Conf. Knowl. Discovery Data Mining
, vol.2336
, pp. 517-528
-
-
Khan, M.1
Ding, Q.2
Perrizo, W.3
-
19
-
-
8844225845
-
Spatial data mining: Progress and challenges
-
K. Koperski, J. Adhikary, and J. Han, "Spatial data mining: Progress and challenges," in Proc. SIGMOD Workshop Res. Issues Data Mining Knowl. Discovery, 1996, pp. 1-10.
-
(1996)
Proc. SIGMOD Workshop Res. Issues Data Mining Knowl. Discovery
, pp. 1-10
-
-
Koperski, K.1
Adhikary, J.2
Han, J.3
-
20
-
-
84957645397
-
Discovery of spatial association rules in geographic information databases
-
K. Koperski and J. Han, "Discovery of spatial association rules in geographic information databases," in Proc. Int. Symp. Large Spatial Databases, 1995, pp. 47-66.
-
(1995)
Proc. Int. Symp. Large Spatial Databases
, pp. 47-66
-
-
Koperski, K.1
Han, J.2
-
21
-
-
0141688369
-
Discretization: An enabling technique
-
Oct
-
H. Liu, F. Hussain, C. L. Tan, and M. Dash, "Discretization: An enabling technique," Data Mining Knowl. Discov., vol. 6, no. 4, pp. 393-423, Oct. 2002.
-
(2002)
Data Mining Knowl. Discov
, vol.6
, Issue.4
, pp. 393-423
-
-
Liu, H.1
Hussain, F.2
Tan, C.L.3
Dash, M.4
-
23
-
-
0001828003
-
Cached sufficient statistics for efficient machine learning with large datasets
-
A. Moore and M. S. Lee, "Cached sufficient statistics for efficient machine learning with large datasets," J. Artif. Intell. Res., vol. 8, pp. 67-91, 1998.
-
(1998)
J. Artif. Intell. Res
, vol.8
, pp. 67-91
-
-
Moore, A.1
Lee, M.S.2
-
25
-
-
84976830511
-
An effective hash-based algorithm for mining association rules
-
J. S. Park, M.-S. Chen, and P. S. Yu, "An effective hash-based algorithm for mining association rules," in Proc. ACM Int. Conf. Manage. Data, 1995, pp. 175-186.
-
(1995)
Proc. ACM Int. Conf. Manage. Data
, pp. 175-186
-
-
Park, J.S.1
Chen, M.-S.2
Yu, P.S.3
-
26
-
-
84974688516
-
Deriving high confidence rules from spatial data using Peano Count Trees
-
Berlin, Germany: Springer-Verlag
-
W. Perrizo, Q. Ding, Q. Ding, and A. Roy, "Deriving high confidence rules from spatial data using Peano Count Trees," in Proc. Int. Conf. Web-Age Inf. Manage. Berlin, Germany: Springer-Verlag, 2001, vol. 2118, pp. 91-102.
-
(2001)
Proc. Int. Conf. Web-Age Inf. Manage
, vol.2118
, pp. 91-102
-
-
Perrizo, W.1
Ding, Q.2
Ding, Q.3
Roy, A.4
-
28
-
-
4244075297
-
-
Online, Available
-
Remote Sensing Tutorial. [Online]. Available: http:// rst.gsfc.nasa.gov/Front/tofc.html
-
Remote Sensing Tutorial
-
-
-
29
-
-
0021644214
-
The quadtree and related hierarchical data structure
-
Jun
-
H. Samet, "The quadtree and related hierarchical data structure," ACM Comput. Surv., vol. 16, no. 2, pp. 187-260, Jun. 1984.
-
(1984)
ACM Comput. Surv
, vol.16
, Issue.2
, pp. 187-260
-
-
Samet, H.1
-
33
-
-
0033901934
-
Mining recurrent items in multimedia with progressive resolution refinement
-
O. R. Zaiane, J. Han, and H. Zhu, "Mining recurrent items in multimedia with progressive resolution refinement," in Proc. IEEE Int. Conf. Data Eng., 2000, pp. 461-470.
-
(2000)
Proc. IEEE Int. Conf. Data Eng
, pp. 461-470
-
-
Zaiane, O.R.1
Han, J.2
Zhu, H.3
-
35
-
-
0005810893
-
Turbo-charging vertical mining of large databases
-
P. Shenoy, J. Haritsa, G. Bhalotia, S. Sudarshan, G. Bhalotia, M. Bawa, and D. Shah, "Turbo-charging vertical mining of large databases," in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2000, pp. 22-33.
-
(2000)
Proc. ACM SIGMOD Int. Conf. Manage. Data
, pp. 22-33
-
-
Shenoy, P.1
Haritsa, J.2
Bhalotia, G.3
Sudarshan, S.4
Bhalotia, G.5
Bawa, M.6
Shah, D.7
-
36
-
-
28244494064
-
MAFIA: A maximal frequent itemset algorithm
-
Nov
-
D. Burdick, M. Calimlim, J. Flannick et al., "MAFIA: A maximal frequent itemset algorithm," IEEE Trans. Knowl. Data Eng., vol. 17, no. 11, pp. 1490-1504, Nov. 2005.
-
(2005)
IEEE Trans. Knowl. Data Eng
, vol.17
, Issue.11
, pp. 1490-1504
-
-
Burdick, D.1
Calimlim, M.2
Flannick, J.3
-
37
-
-
33751053180
-
Mining image datasets using perceptual association rules
-
J. Tesic, S. Newsam, and B. S. Manjunath, "Mining image datasets using perceptual association rules," in Proc. SIAM Workshop Mining Sci. Eng. Datasets, 2003, pp. 71-77.
-
(2003)
Proc. SIAM Workshop Mining Sci. Eng. Datasets
, pp. 71-77
-
-
Tesic, J.1
Newsam, S.2
Manjunath, B.S.3
-
38
-
-
0027595914
-
Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methods
-
May
-
Y. Salu and J. Tilton, "Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methods," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 3, pp. 606-617, May 1993.
-
(1993)
IEEE Trans. Geosci. Remote Sens
, vol.31
, Issue.3
, pp. 606-617
-
-
Salu, Y.1
Tilton, J.2
-
41
-
-
84945256640
-
Association rule mining on remotely sensed images using P-trees
-
Germany: Springer-Verlag,May
-
Q. Ding, Q. Ding, and W. Perrizo, "Association rule mining on remotely sensed images using P-trees," in Proc. Pacific-Asia Conf. Knowl. Discovery DataMining. Berlin, Germany: Springer-Verlag,May 2002, vol. 2336, pp. 66-79.
-
(2002)
Proc. Pacific-Asia Conf. Knowl. Discovery DataMining. Berlin
, vol.2336
, pp. 66-79
-
-
Ding, Q.1
Ding, Q.2
Perrizo, W.3
-
42
-
-
10944243785
-
Discovering colocation patterns from spatial data sets: A general approach
-
Dec
-
Y. Huang, S. Shekhar, and H. Xiong, "Discovering colocation patterns from spatial data sets: A general approach," IEEE Trans. Knowl. Data Eng., vol. 16, no. 12, pp. 1472-1485, Dec. 2004.
-
(2004)
IEEE Trans. Knowl. Data Eng
, vol.16
, Issue.12
, pp. 1472-1485
-
-
Huang, Y.1
Shekhar, S.2
Xiong, H.3
-
43
-
-
84948104699
-
Integrating classification and association rule mining
-
B. Liu, W. Hsu, and Y. Ma, "Integrating classification and association rule mining," in Proc. ACM Int. Conf. KDD, 1998, pp. 27-31.
-
(1998)
Proc. ACM Int. Conf. KDD
, pp. 27-31
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
|