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» The Challenge of Process Data Warehousing
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KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 9 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
NEUROSCIENCE
2001
Springer
14 years 1 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
FGCS
2006
144views more  FGCS 2006»
13 years 9 months ago
BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number...
Muan Hong Ng, Steven Johnston, Bing Wu, Stuart E. ...
KAIS
2008
150views more  KAIS 2008»
13 years 8 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
WWW
2010
ACM
14 years 14 days ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...