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SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
13 years 9 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
SAC
2010
ACM
13 years 9 months ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
ICDCS
2002
IEEE
13 years 9 months ago
D-Stampede: Distributed Programming System for Ubiquitous Computing
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Sameer Adhikari, Arnab Paul, Umakishore Ramachandr...
DANCE
2002
IEEE
13 years 9 months ago
Panda: Middleware to Provide the Benefits of Active Networks to Legacy Applications
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...
Vincent Ferreria, Alexey Rudenko, Kevin Eustice, R...
ACIIDS
2009
IEEE
144views Database» more  ACIIDS 2009»
13 years 10 months ago
Processing Exact Results for Sliding Window Joins over Time-Sequence, Streaming Data Using a Disk Archive
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Abhirup Chakraborty, Ajit Singh
EPIA
2003
Springer
13 years 10 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
13 years 10 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
EDOC
2003
IEEE
13 years 10 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
VLDB
2004
ACM
99views Database» more  VLDB 2004»
13 years 10 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
VLDB
2004
ACM
104views Database» more  VLDB 2004»
13 years 10 months ago
Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams
This paper studies Data Stream Management Systems that combine real-time data streams with historical data, and hence access incoming streams and archived data simultaneously. A s...
Sirish Chandrasekaran, Michael J. Franklin