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139
Voted
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 4 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
139
Voted
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 10 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
134
Voted
ICSNC
2007
IEEE
15 years 10 months ago
Efficient Transformation Scheme for Indexing Continuous Queries on RFID Streaming Data
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data a...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
132
Voted
CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 4 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
153
Voted
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 1 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...