View Management Techniques and Their Application to Data Stream Management - Evolving Application Domains of Data Warehousing and Mining - page 106

Arasu, A., Babcock, B., Babu, S., Datar, M., Ito,
K., Nishizawa, I., et al. (2003a). STREAM: The
Stanford Stream Data Manager. InA. Y. Halevy, Z.
G. Ives, & A. Doan, (Eds.), Proc. ACM SIGMOD
Intl. Conference on Management of Data , (p. 665),
San Diego, California, USA. New York: ACM.

Bernstein, P. A., Blaustein, B. T., & Clarke, E. M.
(1980). Fast maintenance of semantic integrity
assertions using redundant aggregate data. In
Proc. 6th Intl. Conference on Very Large Data
Bases (VLDB), (pp. 126-136), Montreal, Canada.
Washington, DC: IEEE Computer Society.

Arasu, A., Babu, S., & Widom, J. (2003b). An
abstract semantics and concrete language for
continuous queries over streams and relations.
In Proc. Intl. Conf. on Data Base Programming
Languages.

Blakeley, J. A., Larson, P.-A., & Tompa, F. W.
(1986). Efficiently updating materialized views.
In Proceedings ACM SIGMOD International
Conference on Management of Data, (pp. 61-71).
New York: ACM.

Arasu,A., Babu, S., & Widom, J. (2006). The CQL
continuous query language: semantic foundations
and query execution. The VLDB Journal , 15 (2),
121-142. doi:10.1007/s00778-004-0147-z

Buneman, O. P., & Clemons, E. K. (1979). Ef-
ficiently monitoring relational databases. ACM
Transactions on Database Systems , 4 (3), 368-382.
doi:10.1145/320083.320099

Arasu, A., & Widom, J. (2004). Resource shar-
ing in continuous sliding-window aggregates. In
Nascimento et al., (pp. 336-347).

Carney, D., Centintemel, U., Cherniack, M.,
Convey, C., Lee, S., Seidman, G., et al. (2002).
Monitoring streams - a new class of data manage-
ment applications. In VLDB .

Babcock, B., Babu, S., Datar, M., Motwani, R.,
& Widom, J. (2002). Models and issues in data
stream systems. In L. Popa, (Ed.), Proc. 21st ACM
Symposium on Principles of Database Systems
(PODS) , (pp. 1-16), Madison, Wisconsin. New
York: ACM Press.

Ceri, S., & Widom, J. (1991). Deriving produc-
tion rules for incremental view maintenance. In
Proceedings of 17th International Conference on
Very Large Data Bases (VLDB). San Francisco:
Morgan Kaufmann.

Babu, S., Munagala, K., Widom, J., & Motwani,
R. (2005). Adaptive caching for continuous que-
ries. In Proc. 21st Intl. Conf. on Data Engineer-
ing (ICDE), (pp. 118-129), Tokyo, Japan. New
York: IEEE.

Chandrasekaran, S., Cooper, O., Deshpande, A.,
Franklin, M. J., Hellerstein, J. M., Hong, W., et
al. (2003). TelegraphCQ: continuous dataflow
processing for an uncertain world. In Proc. 1st
Biennal Conference on Innovative Data Systems
Research (CIDR), Asilomar, CA.

Baralis, E., Paraboschi, S., & Teniente, E. (1997).
Materialized views selection in a multidimensional
database. In Jarke et al., (pp. 156-165).

Chaudhuri, S., & Narasayya, V. R. (1997).An effi-
cient cost-driven index selection tool for Microsoft
SQL Server. In Jarke et al., (pp. 146-155).

Bellatreche, L., Karlapalem, K., & Schneider,
M. (2000). On efficient storage space distribu-
tion among materialized views and indices in
data warehousing environments. In Proc. 9th
Intl. Conference on Information and Knowledge
Management (CIKM), (pp. 397-404). New York:
ACM.

Chaudhuri, S., & Narasayya, V. R. (2007). Self-
tuning database systems: A decade of progress. In
Koch, C., Gehrke, J., Garofalakis, M. N., Srivas-
tava, D., Aberer, K., Deshpande, A., et al (Eds.),
Proceedings 33rd Intl. Conf. on Very Large Data
Bases (VLDB), (pp. 3-14), Vienna, Austria.