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COLCOM
2005
IEEE
14 years 3 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
CSIE
2009
IEEE
14 years 4 months ago
Integration of a Concept Map Generator and a Knowledge-Portal-Based E-learning System
Knowledge management (KM) is the research field aimed to create, organize, and store explicit knowledge for easy access and manipulation, whereas e-learning is concerned with del...
Jyh-Da Wei, Tai-Yu Chen, Tsai-Yeh Tung, D. T. Lee
SSDBM
2000
IEEE
155views Database» more  SSDBM 2000»
14 years 2 months ago
Knowledge-Based Integration of Neuroscience Data Sources
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
BMCBI
2006
174views more  BMCBI 2006»
13 years 9 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
BMCBI
2008
117views more  BMCBI 2008»
13 years 9 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...