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- Zhou Y, Wang Y, Gao J, Luo N and Wang J (2018). An efficient local search for partial vertex cover problem, Neural Computing and Applications, 30:7, (2245-2256), Online publication date: 1-Oct-2018.
- Boustani A, Maiti A, Jazi S, Jadliwala M and Namboodiri V (2017). Seer Grid, IEEE Transactions on Parallel and Distributed Systems, 28:2, (546-557), Online publication date: 1-Feb-2017.
- Zhang Y, Ran Y and Zhang Z (2017). A simple approximation algorithm for minimum weight partial connected set cover, Journal of Combinatorial Optimization, 34:3, (956-963), Online publication date: 1-Oct-2017.
- Liang D, Zhang Z, Liu X, Wang W and Jiang Y (2016). Approximation algorithms for minimum weight partial connected set cover problem, Journal of Combinatorial Optimization, 31:2, (696-712), Online publication date: 1-Feb-2016.
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- Ju. Moshkov M, Piliszczu M and Zielosko B (2009). Greedy Algorithms withWeights for Construction of Partial Association Rules, Fundamenta Informaticae, 94:1, (101-120), Online publication date: 1-Jan-2009.
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- Anthony M (2004). Some connections between learning and optimization, Discrete Applied Mathematics, 144:1-2, (17-26), Online publication date: 1-Nov-2004.
- Thornton C (1999). What do Constructive Learners Really Learn?, Artificial Intelligence Review, 13:4, (249-257), Online publication date: 1-Aug-1999.
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