Scalable Diversity-Aware Feature Scoring for Biomedical Big Data via Hypercube-Based Density Estimation

Authors: Li, Angela, Li, David

Source: 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Biomedical and Health Informatics (BHI), 2025 IEEE EMBS International Conference on. :1-8 Oct, 2025

Relation: 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)

Efficient Distributed k-Clique Mining for Large Networks Using MapReduce

Authors: Shahrivari, S., Jalili, S.

Source: IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 33(3):964-974 Mar, 2021

Scalable Overlay Operations over DCEL Polygon Layers

Authors: Andres Calderon-Romero, Vassilis J. Tsotras, Amr Magdy

Source: Proceedings of the 18th International Symposium on Spatial and Temporal Data. :85-95

Subject Terms: Data structures, Distributed computing methodologies, Parallel algorithms, Distributed algorithms, Information systems, Generalidades / Procesamiento de datos Ciencia de los computadores, Generalidades, MapReduce algorithms, Data management systems

File Description: PDF

Fuzzy MapReduce Data Mining algorithms

Authors: Subba Reddy, Poli Venkata

Source: 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY) Fuzzy Theory and Its Applications (iFUZZY), 2018 International Conference on. :304-310 Nov, 2018

Relation: 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY)

Extending Standard MapReduce Algorithms

Authors: Hashem, Hadi, Ranc, Daniel

Source: 2016 IEEE Second International Conference on Multimedia Big Data (BigMM) Multimedia Big Data (BigMM), 2016 IEEE Second International Conference on. :159-165 Apr, 2016

Relation: 2016 IEEE Second International Conference on Multimedia Big Data (BigMM)

Massively Parallel Algorithms for Minimum Cut

Authors: Ghaffari, Mohsen, Nowicki, Krzysztof

Source: Proceedings of the 39th Symposium on Principles of Distributed Computing

Subject Terms: Massively parallel computation, MapReduce algorithms, Minimum cut, Congested clique, Random contraction, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Access URL: https://dblp.uni-trier.de/db/conf/podc/podc2020.html#Ghaffari020
https://dl.acm.org/doi/pdf/10.1145/3382734.3405737
https://www.research-collection.ethz.ch/handle/20.500.11850/440141
http://hdl.handle.net/20.500.11850/440141

Strongly Minimal MapReduce Algorithms: A TeraSort Case Study

Authors: Xia, Daniel^Aff10, Simpson, Michael^Aff10, Srinivasan, Venkatesh^Aff10, Thomo, Alex^Aff10

Contributors: Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Woeginger, Gerhard, Editorial Board Member^Aff6, Yung, Moti, Editorial Board Member^Aff7, Herzig, Andreas, editor^Aff8, Kontinen, Juha, editor^Aff9

Source: Foundations of Information and Knowledge Systems : 11th International Symposium, FoIKS 2020, Dortmund, Germany, February 17–21, 2020, Proceedings. 12012:301-317

Algorithms for processing the group K nearest-neighbor query on distributed frameworks

Authors: Moutafis, Panagiotis, García-García, Francisco, Mavrommatis, George, Vassilakopoulos, Michael^{Aff1, IDs10619020073178_cor4}, Corral, Antonio, Iribarne, Luis

Source: Distributed and Parallel Databases: An International Journal of Data Science, Engineering, and Management. 39(3):733-784

MapReduce algorithms for the K group nearest-neighbor query

Authors: Moutafis, Panagiotis, García-García, Francisco, Mavrommatis, George, Vassilakopoulos, Michael, Corral, Antonio, Iribarne, Luis

Source: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. :448-455

Availability: http://dl.acm.org/doi/10.1145/3297280.3299733

Solving k-center clustering (with outliers) in MapReduce and streaming, almost as accurately as sequentially

Authors: Ceccarello, Matteo, Pietracaprina, Andrea, Pucci, Geppino

Source: Proceedings of the VLDB Endowment. 12:766-778

Subject Terms: FOS: Computer and information sciences, coreset, streaming algorithms, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, large datasets, Data Structures and Algorithms (cs.DS), MapReduce algorithms, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology, k-center clustering

File Description: application/pdf

Access URL: http://arxiv.org/pdf/1802.09205
http://arxiv.org/abs/1802.09205
http://www.vldb.org/pvldb/vol12/p766-ceccarello.pdf
http://ui.adsabs.harvard.edu/abs/2018arXiv180209205C/abstract
https://arxiv.org/abs/1802.09205
https://dl.acm.org/doi/pdf/10.14778/3317315.3317319
https://dblp.uni-trier.de/db/journals/pvldb/pvldb12.html#CeccarelloPP19
https://arxiv.org/pdf/1802.09205.pdf
https://hdl.handle.net/11577/3299392
https://doi.org/10.14778/3317315.3317319

Adaptive MapReduce Similarity Joins

Authors: McCauley, Samuel, Silvestri, Francesco

Source: Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond. :1-4

Availability: http://dl.acm.org/doi/10.1145/3206333.3206340

Efficient Processing of Skyline Queries Using MapReduce

Authors: Park, Y., Min, J., Shim, K.

Source: IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 29(5):1031-1044 May, 2017

Randomized Composable Coresets for Matching and Vertex Cover

Authors: Assadi, Sepehr, Khanna, Sanjeev

Source: Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures. :3-12

Availability: http://dl.acm.org/doi/10.1145/3087556.3087581

BigFCM: Fast, precise and scalable FCM on hadoop

Authors: Ghadiri, Nasser ^{a, *}, Ghaffari, Meysam ^b, Nikbakht, Mohammad Amin ^a

Source: In Future Generation Computer Systems December 2017 77:29-39

Shuffles and Circuits : (On Lower Bounds for Modern Parallel Computation)

Authors: Roughgarden, Tim, Vassilvitskii, Sergei, Wang, Joshua R.

Source: Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures. :1-12

Availability: http://dl.acm.org/doi/10.1145/2935764.2935799

Some pairs problems

Authors: Ullman, Jeffrey D., Ullman, Jonathan

Source: Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond. :1-7

Availability: http://dl.acm.org/doi/10.1145/2926534.2926543

Randomized Composable Core-sets for Distributed Submodular Maximization

Authors: Mirrokni, Vahab, Zadimoghaddam, Morteza

Source: Proceedings of the forty-seventh annual ACM symposium on Theory of Computing. :153-162

Availability: http://dl.acm.org/doi/10.1145/2746539.2746624

Security and privacy aspects in MapReduce on clouds: A survey

Authors: Derbeko, Philip ^a, Dolev, Shlomi ^b, Gudes, Ehud ^b, Sharma, Shantanu ^{b, ⁎}

Source: In Computer Science Review May 2016 20:1-28

Big Data Analytics for Smart Cities: The H2020 CLASS Project

Authors: Quiñones, Eduardo, Bertogna, Marko, Hadad, Erez, Ferrer, Ana J., Chiantore, Luca, Reboa, Alfredo

Contributors: Barcelona Supercomputing Center

Subject Terms: Àrees temàtiques de la UPC::Informàtica, High performance computing, Cloud computing, Embedded systems, Real-time schedulability, Theory of computation, MapReduce algorithms, Supercomputadors

File Description: 1 p.; application/pdf

Relation: https://dl.acm.org/citation.cfm?id=3211914; info:eu-repo/grantAgreement/EC/H2020/780622/EU/Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS/CLASS; Quiñones, E. [et al.]. Big Data Analytics for Smart Cities: The H2020 CLASS Project. A: "SYSTOR '18 Proceedings of the 11th ACM International Systems and Storage Conference". ACM, 2018, p. 130.; http://hdl.handle.net/2117/167233

Availability: http://hdl.handle.net/2117/167233
https://doi.org/10.1145/3211890.3211914

Connected Components in MapReduce and Beyond

Authors: Kiveris, Raimondas, Lattanzi, Silvio, Mirrokni, Vahab, Rastogi, Vibhor, Vassilvitskii, Sergei

Source: Proceedings of the ACM Symposium on Cloud Computing. :1-13

Availability: http://dl.acm.org/doi/10.1145/2670979.2670997