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» Three decades of data integration - All problems solved
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BIBE
2005
IEEE
15 years 9 months ago
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets
One of the major problems in biological data integration is that many data sources are stored as flat-files, with a variety of different layouts. Integrating data from such sour...
Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agra...
128
Voted
CEC
2007
IEEE
15 years 9 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
148
Voted
HIS
2007
15 years 4 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
127
Voted
ICDE
2010
IEEE
191views Database» more  ICDE 2010»
15 years 1 months ago
Coordination of data in heterogenous domains
Abstract— Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sourc...
Michael K. Lawrence, Rachel Pottinger, Sheryl Stau...
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
16 years 3 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...