Implementation of Area-based Aggregation on Multivariate Continuous Uncertain Data

Authors: Nair, Rahul, Stanchev, Lubomir

Source: 2026 International Conference on AI x Data and Knowledge Engineering (AIxDKE) AIXDKE AI x Data and Knowledge Engineering (AIxDKE), 2026 International Conference on. :60-69 Feb, 2026

Relation: 2026 International Conference on AI x Data and Knowledge Engineering (AIxDKE)

Best-first search–based approach for mining top-k closed frequent itemsets from uncertain databases.

Authors: Le, Nguyen¹ (AUTHOR), Vo, Huy¹ (AUTHOR), Nguyen, Thien² (AUTHOR) nguyenchithien@tdtu.edu.vn

Source: PLoS ONE. 6/17/2026, Vol. 21 Issue 6, p1-41. 41p.

Subject Terms: *Data mining, *Probabilistic databases, *Heuristic, *Data structures

A Unifying Algorithm for Hierarchical Queries

Authors: Abo Khamis, Mahmoud, Comer, Jesse, Kolaitis, Phokion G., Roy, Sudeepa, Tannen, Val

Source: Proceedings of the ACM on Management of Data - PODS. 3(5):1-22

Availability: http://dl.acm.org/doi/10.1145/3767710

Connecting Probabilistic Databases to Quantum Computing and Tensor Networks via Graphical Models

Authors: Uotila, Valter

Source: Proceedings of the 3rd workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications. :9-9

Availability: http://dl.acm.org/doi/10.1145/3811628.3811831

Reproducibility Report for ACM SIGMOD 2024 Paper: 'StarfishDB: A Query Execution Engine for Relational Probabilistic Programming'

Authors: Krause, Alexander, Lebedev, Georgiy, Hadouaj, Sami, Ben Amara, Ouael, Meneghetti, Niccolò

Source: Reproducibility Reports of the 2024 International Conference on Management of Data. :28-31

Availability: http://dl.acm.org/doi/10.1145/3687998.3717056

Bloom Filters at Fifty: From Probabilistic Foundations to Modern Engineering and Applications.

Authors: Gagniuc, Paul A.¹ (AUTHOR), Păvăloiu, Ionel-Bujorel¹ (AUTHOR) bujor.pavaloiu@upb.ro, Dascălu, Maria-Iuliana¹ (AUTHOR)

Source: Algorithms. Dec2025, Vol. 18 Issue 12, p767. 18p.

Subject Terms: *Data structures, *Probabilistic databases, *Blockchains, *Computer systems, *Information storage & retrieval systems, *Heuristic algorithms

Probabilistic periodic frequent pattern mining in uncertain databases

Authors: Hamimid, Ilyes^{Aff1, Aff2}, Nouioua, Farid^{Aff1, Aff2, Aff3}, Boutouhami, Sara^{Aff1, Aff2}, Fournier-Viger, Philippe^{Aff4, IDs10489026073887_cor1}

Source: Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. 56(15)

Restoring sparsity in potts machines via mean-field constraints.

Authors: Callahan-Coray, Kevin, Lee, Kyle, Jiang, Kyle, Çamsarı, Kerem Y.

Source: npj Unconventional Computing; 9/2/2026, Vol. 3 Issue 1, p1-9, 9p

Subject Terms: Scalability, Potts model, Mathematical optimization, Probabilistic databases, Constrained optimization, Field programmable gate arrays, Combinatorial optimization, Ising model, Computers, Mean field theory

Seismic Resilience of Hospital Buildings with Soft Stories: A Probabilistic Vulnerability Analysis.

Authors: Mokhtari, Mehdi, Naderpour, Hosein

Source: Journal of Structural Design & Construction Practice; Aug2026, Vol. 31 Issue 3, p1-20, 20p

Subject Terms: Hospital buildings, Seismic response, Earthquake hazard analysis, Probabilistic databases, Methodology

When is Shapley Value Computation a Matter of Counting?

Authors: Bienvenu, Meghyn, Figueira, Diego, Lafourcade, Pierre

Source: Proceedings of the ACM on Management of Data - PODS. 2(2):1-24

Availability: http://dl.acm.org/doi/10.1145/3651606

Comparative assessment of ensemble machine learning and Google Earth Engine for flood susceptibility mapping in the Dipota River Basin, Assam, India.

Authors: Kalita, Nilotpal, Nath, Manash Jyoti, Hazarika, Satyendra

Source: Discover Geoscience; 7/16/2026, Vol. 4 Issue 1, p1-26, 26p

Subject Terms: Ensemble learning, Machine learning, Geospatial data, Flood risk, Hydrology, Random forest algorithms, Hydrologic models, Probabilistic databases, Watersheds, Remote sensing

Geographic Terms: Northeastern India, India

Reviews & Products: Google Earth (Web resource)

An extended relational database model and algebra with interval probability valued attributes and tuples.

Authors: Nguyen, Hoa, Tran, Thi Nhi

Source: Indonesian Journal of Electrical Engineering & Computer Science; May2026, Vol. 42 Issue 2, p426-441, 16p

Subject Terms: Probabilistic databases, Data modeling, Probability theory

StarfishDB: A Query Execution Engine for Relational Probabilistic Programming

Authors: Ben Amara, Ouael, Hadouaj, Sami, Meneghetti, Niccolò

Source: Proceedings of the ACM on Management of Data - SIGMOD. 2(3):1-31

Availability: http://dl.acm.org/doi/10.1145/3654988

Querying Incomplete Numerical Data: Between Certain and Possibile Answers

Authors: Console, Marco, Libkin, Leonid, Peterfreund, Liat

Source: Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. :349-358

Availability: http://dl.acm.org/doi/10.1145/3584372.3588660

Tuple-Independent Representations of Infinite Probabilistic Databases

Authors: Carmeli, Nofar, Grohe, Martin, Lindner, Peter, Standke, Christoph

Source: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. :388-401

Availability: http://dl.acm.org/doi/10.1145/3452021.3458315

Independence in Infinite Probabilistic Databases

Authors: Grohe, Martin, Lindner, Peter

Source: Journal of the ACM. 69(5):1-42

Availability: http://dl.acm.org/doi/10.1145/3549525

Generative Datalog with Continuous Distributions

Authors: Grohe, Martin, Kaminski, Benjamin Lucien, Katoen, Joost-pieter, Lindner, Peter

Source: Journal of the ACM. 69(6):1-52

Availability: http://dl.acm.org/doi/10.1145/3559102

Scheduling with the Probabilistic Coupling Method II (PTCM II) - assuming continuity of work on the working sectors.

Alternate Title: Harmonogramowanie Probabilistyczna Metoda Sprzeżeń Czasowych II (PTCM II) - założenie ciągłości pracy na sektorach roboczych.

Authors: Kostrzewa-Demczuk, Paulina¹ pkostrzewa@tu.kielce.pl, Rogalska, Magdalena² m.rogalska@pollub.pl

Source: Archives of Civil Engineering (Polish Academy of Sciences). 2024, Vol. 70 Issue 4, p505-520. 16p.

Subject Terms: *Probabilistic databases, *Construction industry, *Statistical models, *Construction project management, *Methodology

PPPR: Accelerating Probabilistic Reverse Top-k Queries via Clustering and Cluster-Aware Threshold Estimation

Authors: Doan, Ngoc, Bui, Truc, Le, Trieu, Cao, Jinli

Subject Terms: Approximate query processing, DBSCAN, Probabilistic databases, Query optimization, Reverse top-k query, User clustering

Relation: 36th Australasian Database Conference, ADC 2025; Sydney; 4-7 December 2025; Databases Theory and Applications 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4–6, 2025, Proceedings Vol. 16391 LNCS, p. 193-207; http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/213080; vital:21301

Availability: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/213080
https://doi.org/10.1007/978-981-95-6196-4_14

Boosting markovian tennis prediction: Ensembling and point-specific methods for match outcome and duration.

Authors: Wang, Chengzhi, Drekic, Steve

Source: Journal of Sports Analytics; 1/19/2026, Vol. 12, p1-16, 16p

Subject Terms: Markov processes, Tennis tournaments, Standard deviations, Women's tennis, Probabilistic databases