Databases Reference
In-Depth Information
[GGR99]
V. Ganti, J. E. Gehrke, and R. Ramakrishnan. CACTUS—clustering categorical data
using summaries.
In
Proc.
1999 Int.
Conf.
Knowledge Discovery and Data Mining
(KDD'99)
, pp. 73-83, San Diego, CA, 1999.
[GGRL99]
J. Gehrke, V. Ganti, R. Ramakrishnan, and W.-Y. Loh. BOAT—optimistic decision
tree construction.
In
Proc.
1999 ACM-SIGMOD Int.
Conf.
Management of Data
(SIGMOD'99)
, pp. 169-180, Philadelphia, PA, June 1999.
[GHL06]
H. Gonzalez, J. Han, and X. Li. Flowcube: Constructuing RFID flowcubes for multi-
dimensional analysis of commodity flows. In
Proc. 2006 Int. Conf. Very Large Data Bases
(VLDB'06)
, pp. 834-845, Seoul, Korea, Sept. 2006.
[GHLK06]
H. Gonzalez, J. Han, X. Li, and D. Klabjan. Warehousing and analysis of massive RFID
data sets. In
Proc. 2006 Int. Conf. Data Engineering (ICDE'06)
, p. 83, Atlanta, GA, Apr.
2006.
[GKK
C
01]
R. L. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. R. Namburu.
Data Mining
for Scientific and Engineering Applications
. Kluwer Academic, 2001.
[GKR98]
D. Gibson, J. M. Kleinberg, and P. Raghavan. Clustering categorical data: An approach
based on dynamical systems. In
Proc. 1998 Int. Conf. Very Large Data Bases (VLDB'98)
,
pp. 311-323, New York, NY, Aug. 1998.
[GM99]
A. Gupta and I. S. Mumick.
Materialized Views: Techniques, Implementations, and
Applications
. Cambridge, MA: MIT Press, 1999.
[GMMO00]
S. Guha, N. Mishra, R. Motwani, and L. O'Callaghan. Clustering data streams. In
Proc.
2000 Symp. Foundations of Computer Science (FOCS'00)
, pp. 359-366, Redondo Beach,
CA, 2000.
[GMP
C
09]
J. Ginsberg, M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant.
Detecting influenza epidemics using search engine query data.
Nature
, 457:1012-1014,
Feb. 2009.
[GMUW08]
H. Garcia-Molina, J. D. Ullman, and J. Widom.
Database Systems: The Complete Book
(2nd ed.). Prentice Hall, 2008.
[GMV96]
I. Guyon, N. Matic, and V. Vapnik. Discoverying informative patterns and data cleaning.
In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.),
Advances in
Knowledge Discovery and Data Mining
, pp. 181-203. AAAI/MIT Press, 1996.
[Gol89]
D. Goldberg.
Genetic Algorithms in Search, Optimization, and Machine Learning
. Read-
ing, MA: Addison-Wesley, 1989.
[GR04]
D. A. Grossman and O. Frieder.
Information Retrieval: Algorithms and Heuristics
. New
York: Springer, 2004.
[GR07]
P. D. Grunwald and J. Rissanen.
The Minimum Description Length Principle
. Cambridge,
MA: MIT Press, 2007.
[GRG98]
J. Gehrke, R. Ramakrishnan, and V. Ganti. RainForest: A framework for fast decision tree
construction of large datasets. In
Proc. 1998 Int. Conf. Very Large Data Bases (VLDB'98)
,
pp. 416-427, New York, NY, Aug. 1998.
[GRS98]
S. Guha, R. Rastogi, and K. Shim. CURE: An efficient clustering algorithm for large
databases. In
Proc. 1998 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD'98)
,
pp. 73-84, Seattle, WA, June 1998.