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DEXA
2009
Springer
88views Database» more  DEXA 2009»
13 years 11 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 7 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
EDBT
2009
ACM
137views Database» more  EDBT 2009»
13 years 5 months ago
Flexible and scalable storage management for data-intensive stream processing
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing...
Irina Botan, Gustavo Alonso, Peter M. Fischer, Don...
SIGMOD
2009
ACM
218views Database» more  SIGMOD 2009»
14 years 7 months ago
DejaVu: declarative pattern matching over live and archived streams of events
DejaVu is an event processing system that integrates declarative pattern matching over live and archived streams of events on top of a novel system architecture. We propose to dem...
Nihal Dindar, Baris Güç, Patrick Lau, ...
TKDE
2010
151views more  TKDE 2010»
13 years 6 months ago
Duplicate-Insensitive Order Statistics Computation over Data Streams
—Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elemen...
Ying Zhang, Xuemin Lin, Yidong Yuan, Masaru Kitsur...