-
1
-
-
0002546079
-
Attribute-oriented induction in relational databases
-
G. Piatetsky-Shapiro and W.J. Erawley, Menlo Park, CA. USA, AAAI Press
-
Y. Cai, N. Cercone, and J. Han. Attribute-oriented induction in relational databases. In G. Piatetsky-Shapiro and W.J. Erawley, Knowledge Discovery in Databases, 213-228, Menlo Park, CA. USA, 1991. AAAI Press.
-
(1991)
Knowledge Discovery in Databases
, pp. 213-228
-
-
Cai, Y.1
Cercone, N.2
Han, J.3
-
2
-
-
84885618002
-
Spatial data mining: A database approach
-
A. School and A. Voisrad, Berlin, Germany, Springer-Verlag LNCS
-
M. Ester, H.P. Kriegel, and J. Sander. Spatial data mining: A database approach. In A. School and A. Voisrad, Advances in Spatial Databases, 5th Int. Symp., SDD-97, 47-66, Berlin, Germany, 1997. Springer-Verlag LNCS 1262.
-
(1997)
Advances in Spatial Databases, 5th Int. Symp., SDD-97
, vol.1262
, pp. 47-66
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
-
3
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
E. Simoudis, J. Han, and U. Fayyad, Menlo Park, CA, AAAI, AAAI Press
-
M. Ester, H.P. Kriegel, S. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In E. Simoudis, J. Han, and U. Fayyad, Proc. of the 2nd Ini. Conf. on Knowledge Discovery and Data Mining (KDD-96), 226-231, Menlo Park, CA, 1996. AAAI, AAAI Press.
-
(1996)
Proc. of the 2nd Ini. Conf. on Knowledge Discovery and Data Mining (KDD-96)
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.P.2
Sander, S.3
Xu, X.4
-
4
-
-
78449256645
-
Mining spatial data via clustering
-
FIT, QUT, Brisbane 4000, Australia
-
V. Estivill-Castro and A.T. Murray. Mining spatial data via clustering. Technical Report #5/97, FIT, QUT, Brisbane 4000, Australia, 1997.
-
(1997)
Technical Report #5/97
-
-
Estivill-Castro, V.1
Murray, A.T.2
-
5
-
-
0002618404
-
Discovering patterns in spatial data using evolutionary programming
-
J.R. Koza, Cambridge, MA, MIT Press
-
A. Ghozeil and D.B. Fogel. Discovering patterns in spatial data using evolutionary programming. In J.R. Koza, Genetic Programming: Proc. of the First Annual Conf., 521-527, Cambridge, MA, 1996. MIT Press.
-
(1996)
Genetic Programming: Proc. of the First Annual Conf.
, pp. 521-527
-
-
Ghozeil, A.1
Fogel, D.B.2
-
7
-
-
0031168386
-
GeoMiner: A system prototype for spatial data mining
-
K. Han, J. Koperski and N. Stefanovic. GeoMiner: A system prototype for spatial data mining. SIGMOD Record, 26(2):553-556, 1997.
-
(1997)
SIGMOD Record
, vol.26
, Issue.2
, pp. 553-556
-
-
Han, K.1
Koperski, J.2
Stefanovic, N.3
-
10
-
-
0030157505
-
Applying simulated annealing to location-planning models
-
A.T. Murray and R.L. Church. Applying simulated annealing to location-planning models. Journal of Heuristics, 2:31-53, 1996.
-
(1996)
Journal of Heuristics
, vol.2
, pp. 31-53
-
-
Murray, A.T.1
Church, R.L.2
-
12
-
-
0003136237
-
Efficient and effective clustering methods for spatial data mining
-
J. Bocca, M. Jarke, and C. Zaniolo, San Francisco, CA, Morgan Kaufmann
-
R.T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In J. Bocca, M. Jarke, and C. Zaniolo, Proc. of the 20th Conf. on Very Large Data Bases (VLDB), 144-155, San Francisco, CA, 1994. Morgan Kaufmann.
-
(1994)
Proc. of the 20th Conf. on Very Large Data Bases (VLDB)
, pp. 144-155
-
-
Ng, R.T.1
Han, J.2
-
14
-
-
0242265859
-
Analysis and design of heuristics for the p-median location-allocation problem
-
Dep. of Geography, U. California, Santa Barbara
-
P. Sorensen. Analysis and design of heuristics for the p-median location-allocation problem. Master’s thesis, Dep. of Geography, U. California, Santa Barbara, 1994.
-
(1994)
Master’s thesis
-
-
Sorensen, P.1
-
15
-
-
0030157145
-
BIRCH: An efficient data clustering method for very large databases
-
June
-
T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: an efficient data clustering method for very large databases. SIGMOD Record, 25(2):103-114, June 1996.
-
(1996)
SIGMOD Record
, vol.25
, Issue.2
, pp. 103-114
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
|