Databases Reference
In-Depth Information
[KR03]
D. Krane and R. Raymer. Fundamental Concepts of Bioinformatics . Benjamin Cummings,
2003.
[Kre02]
V. Krebs. Mapping networks of terrorist cells. Connections , 24:43-52 (Winter), 2002.
[KRR C 00]
R. Kumar, P. Raghavan, S. Rajagopalan, D. Sivakumar, A. Tomkins, and E. Upfal.
Stochastic models for the web graph. In Proc. 2000 IEEE Symp. Foundations of Computer
Science (FOCS'00) , pp. 57-65, Redondo Beach, CA, Nov. 2000.
[KRTM08]
R. Kimball, M. Ross, W. Thornthwaite, and J. Mundy. The Data Warehouse Lifecycle
Toolkit . Hoboken, NJ: John Wiley & Sons, 2008.
[KSZ08]
H.-P. Kriegel, M. Schubert, and A. Zimek. Angle-based outlier detection in high-
dimensional data. In Proc. 2008 ACM SIGKDD Int. Conf. Knowledge Discovery and Data
Mining (KDD'08) , pp. 444-452, Las Vegas, NV, Aug. 2008.
[KT99]
J. M. Kleinberg and A. Tomkins. Application of linear algebra in information retrieval
and hypertext analysis.
In Proc.
18th ACM Symp.
Principles of Database Systems
(PODS'99) , pp. 185-193, Philadelphia, PA, May 1999.
[KYB03] I. Korf, M. Yandell, and J. Bedell. BLAST . Sebastopol, CA: O'Reilly Media, 2003.
[Lam98] W. Lam. Bayesian network refinement via machine learning approach. IEEE Trans.
Pattern Analysis and Machine Intelligence , 20:240-252, 1998.
[Lau95] S. L. Lauritzen. The EM algorithm for graphical association models with missing data.
Computational Statistics and Data Analysis , 19:191-201, 1995.
[LCH C 09] D. Lo, H. Cheng, J. Han, S. Khoo, and C. Sun. Classification of software behaviors
for failure detection: A discriminative pattern mining approach. In Proc. 2009 ACM
SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD'09) , pp. 557-566, Paris,
France, June 2009.
[LDH C 08] C. X. Lin, B. Ding, J. Han, F. Zhu, and B. Zhao. Text cube: Computing IR measures
for multidimensional text database analysis. In Proc. 2008 Int. Conf. Data Mining
(ICDM'08) , pp. 905-910, Pisa, Italy, Dec. 2008.
[LDH C 10] Z. Li, B. Ding, J. Han, R. Kays, and P. Nye. Mining periodic behaviors for moving objects.
In Proc. 2010 ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD'10) ,
pp. 1099-1108, Washington, DC, July 2010.
[LDR00]
J. Li, G. Dong, and K. Ramamohanrarao. Making use of the most expressive jumping
emerging patterns for classification. In Proc. 2000 Pacific-Asia Conf. Knowledge Discovery
and Data Mining (PAKDD'00) , pp. 220-232, Kyoto, Japan, Apr. 2000.
[LDS90]
Y. Le Cun, J. S. Denker, and S. A. Solla. Optimal brain damage. In D. Touretzky (ed.),
Advances in Neural Information Processing Systems . Morgan Kaufmann, 1990.
[Lea96]
D. B. Leake. CBR in context: The present and future. In D. B. Leake (ed.), Cased-
Based Reasoning: Experiences, Lessons, and Future Directions , pp. 3-30. AAAI Press,
1996.
[LGT97]
S. Lawrence, C. L. Giles, and A. C. Tsoi. Symbolic conversion, grammatical inference
and rule extraction for foreign exchange rate prediction. In Y. Abu-Mostafa, A. S.
Weigend, and P. N. Refenes (eds.), Neural Networks in the Capital Markets . London:
World Scientific, 1997.
[LHC97]
B. Liu, W. Hsu, and S. Chen. Using general impressions to analyze discovered classifi-
cation rules. In Proc. 1997 Int. Conf. Knowledge Discovery and Data Mining (KDD'97) ,
pp. 31-36, Newport Beach, CA, Aug. 1997.
 
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