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IPPS
1999
IEEE
15 years 10 months ago
The Characterization of Data-Accumulating Algorithms
A data-accumulating algorithm (d-algorithm for short) works on an input considered as a virtually endless stream. The computation terminates when all the currently arrived data ha...
Stefan D. Bruda, Selim G. Akl
DCC
2004
IEEE
16 years 6 months ago
Fast Near-Lossless or Lossless Compression of Large 3D Neuro-Anatomical Images
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
Rongkai Zhao, Michael Gabriel, Geneva G. Belford
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 6 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
VLDB
2004
ACM
99views Database» more  VLDB 2004»
15 years 11 months ago
Query Languages and Data Models for Database Sequences and Data Streams
We study the fundamental limitations of relational algebra (RA) and SQL in supporting sequence and stream queries, and present effective query language and data model enrichments ...
Yan-Nei Law, Haixun Wang, Carlo Zaniolo
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
16 years 3 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu