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» Methods for finding frequent items in data streams
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DAWAK
2004
Springer
14 years 1 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng
PODS
2005
ACM
128views Database» more  PODS 2005»
14 years 7 months ago
Operator placement for in-network stream query processing
In sensor networks, data acquisition frequently takes place at lowcapability devices. The acquired data is then transmitted through a hierarchy of nodes having progressively incre...
Utkarsh Srivastava, Kamesh Munagala, Jennifer Wido...
WWW
2005
ACM
14 years 8 months ago
Finding group shilling in recommendation system
In the age of information explosion, recommendation system has been proved effective to cope with information overload in ecommerce area. However, unscrupulous producers shill the...
Xue-Feng Su, Hua-Jun Zeng, Zheng Chen
AINA
2007
IEEE
14 years 2 months ago
Data Stream Based Algorithms For Wireless Sensor Network Applications
Abstract— A wireless sensor network (WSN) is energy constrained, and the extension of its lifetime is one of the most important issues in its design. Usually, a WSN collects a la...
André L. L. de Aquino, Carlos Mauricio S. F...
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 5 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...