Data Science & Analytics
This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.
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121 result(s)
A Highly Efficient Algorithm for Solving Exclusive Lasso Problems
M. Lin, Y. Yuan, D. Sun, and K-C.Toh, M. Lin, Y. Yuan, D. Sun, and K-C.Toh, 2023, Optimization Methods and Software, Optimization Methods and Software, https://www.tandfonline.com/doi/full/10.1080/10556788.2023.2253356
A Nonparametric Approach with Marginals for Modeling Consumer Choice
Y. Ruan, X. Li, K. Murthy, K. Natarajan, 2023, Economics & Computation (EC), 1078, https://dl.acm.org/doi/abs/10.1145/3580507.3597743
A Positive and Moment-preserving Fourier Spectral Method
Z. Cai, B. Lin, and M. Lin, 2023, SIAM Journal on Numerical Analysis, https://www.researchgate.net/publication/370227657_A_positive_and_moment-preserving_Fourier_spectral_method
A Review of Research in the Li-ion Battery Production and Reverse Supply Chains
N Sharmili, R Nagi, P Wang, 2023, Journal of Energy Storage, Volume 68, 107622, https://www.sciencedirect.com/science/article/pii/S2352152X23010198
Achieving Efficiency in Black-box Simulation of Distribution Tails with Self-structuring Importance Samplers
A. Deo, K. Murthy, 2023, Operations Research, https://pubsonline.informs.org/doi/10.1287/opre.2021.0331
Age of Information Diffusion on Social Networks: Optimizing Multi-stage Seeding Strategies
S. Li and L. Duan, 2023, ACM MobiHoc 2023, http://people.sutd.edu.sg/~lingjie_duan/wp-content/uploads/2023/07/Age-of-information-diffusion-mobihoc23.pdf
Aggregating Heavy-tailed Random Vectors: from Finite Sums to Levy Processess
B. Das and V. Fasen-Hartmann, 2023, Under review (Annales de l’institut Henri Poincaré Probabilités et Statistiques), https://arxiv.org/abs/2301.10423
Average-Case Analysis of Greedy Matching for Large-Scale D2D Resource Sharing
S. Gao, C. Courcoubetis, and L. Duan, 2023, IEEE Transactions on Mobile Computing, https://arxiv.org/abs/2305.12862
BEEP: Balanced Efficient subgraph Enumeration in Parallel
S Kawtikwar, M Almasri, WM Hwu, R Nagi, J Xiong, 2023, Proceedings of the 52nd International Conference on Parallel Processing, 142-152, https://dl.acm.org/doi/pdf/10.1145/3605573.3605653
Chase or Wait: Dynamic UAV Deployment to Learn and Catch Time-Varying User Activities
Z. Wang and L. Duan, 2023, IEEE Transactions on Mobile Computing, vol. 22(3), 1369 – 1383, https://people.sutd.edu.sg/~lingjie_duan/wp-content/uploads/2021/08/TMC_UAVdeployment.pdf