The budgeted maximum coverage problem
Information Processing Letters
Approximation algorithms
Some optimal inapproximability results
Journal of the ACM (JACM)
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
The maximum edge biclique problem is NP-complete
Discrete Applied Mathematics
Privacy: A Machine Learning View
IEEE Transactions on Knowledge and Data Engineering
Approximating Min Sum Set Cover
Algorithmica
Approximation algorithms for partial covering problems
Journal of Algorithms
On the complexity of optimal K-anonymity
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information Processing Letters
Anonymizing binary and small tables is hard to approximate
Journal of Combinatorial Optimization
A note on a Maximum k-Subset Intersection problem
Information Processing Letters
Hi-index | 0.89 |
Given u sets, we want to choose exactly k sets such that the cardinality of their intersection is maximized. This is the so-called MAX-k-INTERSECT problem. We prove that MAX-k-INTERSECT cannot be approximated within an absolute error of 12n^1^-^2^@e+O(n^1^-^3^@e) unless P=NP. This answers an open question about its hardness. We also give a correct proof of an inapproximable result by Clifford and Popa (2011) [3] by proving that MAX-INTERSECT problem is equivalent to the MAX-CLIQUE problem.