Databases Reference
In-Depth Information
[PHL01] J. Pei, J. Han, and L. V. S. Lakshmanan. Mining frequent itemsets with convertible con-
straints. In
Proc. 2001 Int. Conf. Data Engineering (ICDE'01)
, pp. 433-442, Heidelberg,
Germany, Apr. 2001.
[PHL
C
01] J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, and D. Yang, H-Mine: Hyper-Structure Mining of
Frequent Patterns in Large Databases. In
Proc. 2001 Int. Conf. Data Mining (ICDM'01)
,
pp. 441-448, San Jose, CA, Nov. 2001.
[PHL04] L. Parsons, E. Haque, and H. Liu. Subspace clustering for high dimensional data: A
review.
SIGKDD Explorations
, 6:90-105, 2004.
[PHM00] J. Pei, J. Han, and R. Mao. CLOSET: An efficient algorithm for mining frequent closed
itemsets. In
Proc. 2000 ACM-SIGMOD Int. Workshop Data Mining and Knowledge
Discovery (DMKD'00)
, pp. 11-20, Dallas, TX, May 2000.
[PHM-A
C
01] J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu. PrefixSpan:
Mining sequential patterns efficiently by prefix-projected pattern growth. In
Proc. 2001
Int. Conf. Data Engineering (ICDE'01)
, pp. 215-224, Heidelberg, Germany, Apr. 2001.
[PHM-A
C
04] J. Pei, J. Han, B. Mortazavi-Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu.
Mining sequential patterns by pattern-growth: The prefixSpan approach.
IEEE Trans.
Knowledge and Data Engineering
, 16:1424-1440, 2004.
[PI97]
V. Poosala and Y. Ioannidis. Selectivity estimation without the attribute value
independence assumption. In
Proc. 1997 Int. Conf. Very Large Data Bases (VLDB'97)
,
pp. 486-495, Athens, Greece, Aug. 1997.
[PKGF03]
S. Papadimitriou, H. Kitagawa, P. B. Gibbons, and C. Faloutsos. Loci: Fast outlier detec-
tion using the local correlation integral. In
Proc. 2003 Int. Conf. Data Engineering
(ICDE'03)
, pp. 315-326, Bangalore, India, Mar. 2003.
[PKMT99]
A. Pfeffer, D. Koller, B. Milch, and K. Takusagawa. SPOOK: A system for probabilistic
object-oriented knowledge representation. In
Proc. 15th Annual Conf. Uncertainty in
Artificial Intelligence (UAI'99)
, pp. 541-550, Stockholm, Sweden, 1999.
[PKZT01]
D. Papadias, P. Kalnis, J. Zhang, and Y. Tao. Efficient OLAP operations in spatial
data warehouses. In
Proc. 2001 Int. Symp. Spatial and Temporal Databases (SSTD'01)
,
pp. 443-459, Redondo Beach, CA, July 2001.
[PL07]
B. Pang and L. Lee. Opinion mining and sentiment analysis.
Foundations and Trends in
Information Retrieval
, 2:1-135, 2007.
[Pla98]
J. C. Platt. Fast training of support vector machines using sequential minimal
optimization. In B. Scholkopf, C. J. C. Burges, and A. Smola (eds.),
Advances in Kernel
Methods—Support Vector Learning
, pp. 185-208. Cambridge, MA: MIT Press, 1998.
[PP07]
A. Patcha, and J.-M. Park. An overview of anomaly detection techniques: Existing
solutions and latest technological trends.
Computer Networks
, 51(12):3448-3470, 2007.
[PS85]
F. P. Preparata and M. I. Shamos.
Computational Geometry: An Introduction
. Springer
Verlag, 1985.
[P-S91]
G. Piatetsky-Shapiro.
Notes AAAI'91 Workshop Knowledge Discovery in Databases
(KDD'91)
. Anaheim, CA, July 1991.
[P-SF91]
G. Piatetsky-Shapiro and W. J. Frawley.
Knowledge Discovery in Databases
. AAAI/MIT
Press, 1991.
[PTCX04]
F. Pan, A. K. H. Tung, G. Cong, and X. Xu. COBBLER: Combining column and row
enumeration for closed pattern discovery. In
Proc. 2004 Int. Conf. Scientific and Statistical
Database Management (SSDBM'04)
, pp. 21-30, Santorini Island, Greece, June 2004.
