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ICDM
2006
IEEE
227views Data Mining» more  ICDM 2006»
14 years 3 months ago
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Le...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 11 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
SAINT
2007
IEEE
14 years 4 months ago
Bandwidth Adjustable DVTS on the Heterogeneous Internet Environments for Distance Learning
We propose a new schematic design for sending and receiving a digital video stream on the heterogeneous Internet environment such as a Gigabit Ethernet and a narrow bandwidth sate...
Yasuo Tsuchimoto, Mohammad Abdul Awal, Poompat Sae...
IDA
2007
Springer
14 years 3 months ago
Visualising the Cluster Structure of Data Streams
The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data a...
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Ada...
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
14 years 3 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch