This material is based upon work supported by the National Science Foundation under Grant No. 0100921
[A1] Alcock, C., Allsman, R.A., Alves, D.R.,
Axelrod, T.S., Becker, A.C., Bennett, D.P., Cook, K.H., Freeman, K.C.,
Geha, M., Griest, R., Lehner, M.J., Marshall, S.L., McNamara, B.J.,
Minniti, D., Nelson, C., Peterson, B.A., Popowski, P., Pratt, M.R.,
Quinn, P.J., Rodgers, A.W., Sutherland, W., Templeton, M.R., Vandehei,
T., Welch, D.L., The MACHO project sample of galactic bulge
high-amplitude delta Scuti stars: Pulsation behavior and stellar
properties, Astrophysical Journal, 536 (2000), 798-815.
[A2] Alcock, C., Allsman, R.A., Alves, D.R., Axelrod,
T.S., Basu, A., Becker, A.C., Bennett, D.P., Cook, K.H., Drake, A.J.,
Freeman, K.C., Geha, M., Griest, K., King, L., Lehner, M.J., Marshall,
S.L., Minniti, D., Nelson, C.A., Peterson, B.A., Popowski, P., Pratt,
M.R., Quinn, P.J., Stubbs, C.W., Sutherland, W., Tomaney, A.B.,
Vandehei, T., Welch, D.L., The MACHO project 9 million star
color-magnitude diagram of the Large Magellanic Cloud,
Astronomical Journal, 119 (2000) 2194-2213.
[A3] Aloisio, G., Cafaro, M., and Williams, R., The
digital Puglia project:
An active digital library of remote sensing data, Proc. 7th Int'.l
Conf. on High Performance Computing and Networking, Lecture Notes in
Computer Science, 1593 (1999), 563.
[A5] Balasubramaniyan, J.S., Garcia-Fernandez, J.O., Isacoff,
D., Spafford, E.H., and Zamboni, D., An architecture for intrusion detection
using autonomous agents, Proc. 14th IEEE Conf. on Computer Security
Applications, Dec 1998.
[A6] Brunken, J.N., Mager, R., and Putzke, R.A., NEMOS - the network
management system for the AT&T long distance network, Proc. 1989 IEEE
Int'l. Conf. on Communications, vol. 3, 1989, pp. 1193 - 1197.
[A7] Chan, P., Fan, W., Prodromidis, A., and Stolfo, S.,
Distributed data
mining in credit card fraud detection, IEEE Intelligent Systems,
14 (1999), 67-74.
[A8] Cortes, C., Fisher, K., Pregibon, D., Rogers, A., and
Smith, F., Hancock:
A language for extracting signatures from data streams, KDD 2000.
[A9] Dhar, V., Data mining in finance: Using
counterfactuals to generate knowledge from organizational information
systems, Information Systems, 23 (1998), 423-437.
[A10] Driver, S.P., Fernandez-Soto, A., Couch, W.J.,
Odewahn, S.C., Windhorst, R.A., Phillipps, S., Lanzetta, K., Yahil,
A., Morphological number counts and redshift distributions to I < 26
from the Hubble deep field: Implications for the evolution of
ellipticals, spirals, and irregulars, Astrophysical Journal,
496 (1998), L93-L96.
[A11] Ganti, V., Gehrke, J., and Ramakrishnan, R., Mining
very large databases, IEEE Computer, 32, (1999), 38-45.
[A12] Heavens, A.G., Jimenez, R., and Lahav, O.,
Massive lossless data compression and multiple parameter estimation
from galaxy spectra, Mon. Not. R. Astron. Soc., May 23,
2000. (arXiv:astro-phy/9911102 v2 23 May 2000).
[A13] Hume, A., Daniels, S., and MacLellen, A., Gecko:
Tracking a very large
billing system, USENIX, 1999.
[A14] Li, C.-S., and Ramaswami, R., Automatic fault detection,
isolation,
and recovery in transparent all-optical networks, Journal of Lightwave
Technology, 15 (1997), 1784 -1793.
[A15] Podding, T., and Huber, C., Data mining for the
detection of turning points in financial time series,
Proc. Advances in Intelligent Data Analysis, Lecture Notes in Computer
Science, 1642 (1999), 427-436.
[A16] Rybicki, G.B., and Press, W.H., Interpolation,
realization, and reconstruction of noisy, irregularly sampled data,
Astrophysical Journal, 398 (1992), 169-176.
[A17] Schuba, C.L., Krsul, I., Kuhn, M.G., Spafford, E.G.,
Sundaram, A., and
Zamboni, D., Analysis of a denial of service attack on TCP, Proc. 1997
IEEE Symp. on Security and Privacy 1997, pp. 208-233.
[A18] Stolfo, S., Fan, W., Lee, W., Prodromidis, A., and Chan,
P., Cost-based
modeling for fraud and intrusion detection: Results from the JAM
project, Proc. DARPA Information Survivability Conference and
Exposition, IEEE Computer Press, vol. 2, 2000, pp. 130-144.
[A19] Szalay, A.S., Kunszt, P.Z., Thakar, A., Gray, J., Slutz, D., Brunner, R.J., Designing
and mining multi-terabyte astronomy archives: The Sloan Digital Sky
Survey, SIGMOD Record, 29 (2000), 451-462.
[A20] Tzafestas, S.G., and Dalianis, P.J., Fault diagnosis in complex
systems using artificial neural networks, Proc. 3rd IEEE Conf. on
Control Applications, vol. 2, 1994, pp. 877-882.
[A21] Ullman, J.D., The MIDAS data-mining project at
Stanford, Proc. 1999
IEEE Symp. on Database Engineering and Applications, 1999, pp. 460-464.
[A22] Williams, R., and Sears, B., A high-performance active
digital library,
Proc. 6th Int'.l Conf. on High Performance Computing and Networking,
Lecture Notes in Computer Science, 1998.