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» Online Algorithms for Mining Semi-structured Data Stream
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ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
14 years 12 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
16 years 2 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
156
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SIGMOD
2009
ACM
476views Database» more  SIGMOD 2009»
15 years 8 months ago
MobileMiner: a real world case study of data mining in mobile communication
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...
104
Voted
VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 7 days ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
132
Voted
INFOCOM
2005
IEEE
15 years 7 months ago
CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming
— This paper presents DONet, a Data-driven Overlay Network for live media streaming. The core operations in DONet are very simple: every node periodically exchanges data availabi...
Xinyan Zhang, Jiangchuan Liu, Bo Li, Tak-Shing Pet...