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CIKM
2004
Springer
15 years 9 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
16 years 4 months ago
Adaptive Ordering of Pipelined Stream Filters
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Shivnath Babu, Rajeev Motwani, Kamesh Munagala, It...
124
Voted
CN
1999
81views more  CN 1999»
15 years 3 months ago
Scheduling and admission control for integrated-services networks: the Priority Token Bank
This paper proposes a new mechanism called the Priority Token Bank for admission control, scheduling, and policing in integrated-services networks. In such networks, both arrival ...
Jon M. Peha
VLDB
2004
ACM
112views Database» more  VLDB 2004»
16 years 4 months ago
Tracking set-expression cardinalities over continuous update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In i...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
167
Voted
DEBS
2010
ACM
15 years 8 months ago
Evaluation of streaming aggregation on parallel hardware architectures
We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...