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Information Systems, Volume 39
Volume 39, January 2014
- Jongwuk Lee, Seung-won Hwang:
Scalable skyline computation using a balanced pivot selection technique. 1-21 - Christian Esposito
, Mario Ciampi
, Giuseppe De Pietro
:
An event-based notification approach for the delivery of patient medical information. 22-44 - N. R. T. P. van Beest, Eirini Kaldeli, Pavel Bulanov, Johan C. Wortmann
, Alexander Lazovik:
Automated runtime repair of business processes. 45-79 - Jian Xu, Rachel Pottinger:
Integrating domain heterogeneous data sources using decomposition aggregation queries. 80-107 - Markus Döhring, Hajo A. Reijers, Sergey Smirnov:
Configuration vs. adaptation for business process variant maintenance: An empirical study. 108-133 - Henrik Leopold, Jan Mendling
, Hajo A. Reijers, Marcello La Rosa
:
Simplifying process model abstraction: Techniques for generating model names. 134-151 - Nieves R. Brisaboa
, Susana Ladra
, Gonzalo Navarro:
Compact representation of Web graphs with extended functionality. 152-174 - Giorgia Lodi
, Leonardo Aniello
, Giuseppe Antonio Di Luna, Roberto Baldoni:
An event-based platform for collaborative threats detection and monitoring. 175-195
- Alfredo Cuzzocrea
:
Optimization issues of querying and evolving sensor and stream databases. 196-198 - Mohammed Al-Kateb, Byung Suk Lee:
Adaptive stratified reservoir sampling over heterogeneous data streams. 199-216 - Adam Ji Dou, Song Lin, Vana Kalogeraki
, Dimitrios Gunopulos
:
Supporting historic queries in sensor networks with flash storage. 217-232 - Toon Calders, Nele Dexters
, Joris J. M. Gillis, Bart Goethals
:
Mining frequent itemsets in a stream. 233-255 - Kresimir Pripuzic
, Ivana Podnar Zarko
, Karl Aberer:
Top-k/w publish/subscribe: A publish/subscribe model for continuous top-k processing over data streams. 256-276 - Min Gan, Honghua Dai:
Detecting and monitoring abrupt emergences and submergences of episodes over data streams. 277-289 - Julie Letchner, Magdalena Balazinska, Christopher Ré, Matthai Philipose:
Approximation trade-offs in a Markovian stream warehouse: An empirical study. 290-304
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