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E-raamat: Algorithmic Aspects in Information and Management: 12th International Conference, AAIM 2018, Dallas, TX, USA, December 3-4, 2018, Proceedings

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This volume constitutes the proceedings of the 12th International Conference on Algorithmic Aspects in Information and Management, AAIM 2018, held in Dallas, Texas, USA, in December 2018.





The 25 full papers presented were carefully reviewed and selected. The papers deal with current trends of research on algorithms, data structures, operation research, combinatorial optimization and their applications.
Minimum Diameter $k$-Steiner Forest.- Factors Impacting the Label
Denoising of Neural Relation Extraction.- Makespan Minimization on Unrelated
Parallel Machines with a Few Bags.- Channel Assignment with r-Dynamic
Coloring.- Profit Maximization Problem with Coupons in Social Networks.- A
Bicriteria Approximation Algorithm for Minimum Submodular Cost Partial
Multi-Cover Problem.- A Novel Approach to Verifying Context Free Properties
of Programs.- Determination of Dual Distances for a Kind of Perfect Mixed
Codes.- Approximation and Competitive Algorithms for Single-Minded Selling
Problem.- An Empirical Analysis of Feasibility Checking Algorithms for UTVPI
Constraints.- Quality-aware Online Task Assignment Using Latent Topic Model.-
Calibration Scheduling with Time Slot Cost.- The k-power domination problem
in weighted trees.- General Rumor Blocking: An Efficient Random Algorithm
with Martingale Approach.- A Robust Power Optimization Algorithm to Balance
Base Stations' Load in LTE-A Network.- Faster Compression of Patterns to
Rectangle Rule Lists.- Algorithm Designs for Dynamic Ridesharing System.- New
LP Relaxations for Minimum Cycle/Path/Tree Cover Problems.- Computation of
Kullback-Leibler Divergence between Labeled Stochastic Systems with
Non-Identical State Spaces.- Order preserving barrier coverage with weighted
sensors on a  line.- Achieving Location Truthfulness in Rebalancing
Supply-Demand Distribution for Bike Sharing.- Approximation algorithms and a
hardness result for the three-machine proportionate mixed-shop problem.-  A
New Algorithm Design Technique for Hard Problems, Building on  Methods of
Complexity Theory.- Community-based Acceptance Probability Maximization for
Target Users on Social Networks.- Knowledge Graph Embedding Based on
Subgraph-aware Proximity.