Výsledky vyhľadávania - "MapReduce algorithms"

Comparative Analysis of MPI and MapReduce Algorithms for Efficient Distributed Table Joins

Autori: Ninad Adi

Zdroj: Current Natural Sciences and Engineering. 2:740-751

Structured query language query join optimization by using rademacher averages and mapreduce algorithms

Autori: Yathish Aradhya Bandur Chandrashekariah Dinesha H. A.

Zdroj: Bulletin of Electrical Engineering and Informatics. 13:1730-1740

Efficient deterministic MapReduce algorithms for parallelizable problems

Autori: Fabian Frei Koichi Wada

Zdroj: Journal of Parallel and Distributed Computing. 177:28-38

Predmety: Parallel algorithms, Complexity theory, MapReduce, Nick's class, Circuit complexity

Efficient deterministic MapReduce algorithms for parallelizable problems

Autori: Frei, Fabian Wada, Koichi

Zdroj: Journal of Parallel and Distributed Computing, 177

Predmety: MapReduce, Circuit complexity, Parallel algorithms, Nick's class, Complexity theory

Popis súboru: application/application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11850/604959

MapReduce algorithms for robust center-based clustering in doubling metrics

Autori: Enrico Dandolo Alessio Mazzetto Andrea Pietracaprina a ďalší

Zdroj: Journal of Parallel and Distributed Computing. 194:104966

Data Mining and Fuzzy Data Mining Using MapReduce Algorithms

Autori: Poli Venkata Subba Reddy

Zdroj: Data Mining-Methods, Applications and Systems ISBN: 9781839683183
Data Mining-Methods, Applications and Systems

Prístupová URL adresa: https://www.intechopen.com/citation-pdf-url/72112
http://www.intechopen.com/articles/show/title/data-mining-and-fuzzy-data-mining-using-mapreduce-algorithms
https://www.intechopen.com/chapters/72112

MapReduce algorithms for the K group nearest-neighbor query

Autori: Michael Vassilakopoulos Antonio Corral Francisco García-García a ďalší

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

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3297280.3299733
https://dblp.uni-trier.de/db/conf/sac/sac2019.html#Moutafis0MVCI19

Strongly Minimal MapReduce Algorithms: A TeraSort Case Study

Autori: Michael G. Simpson Alex Thomo Venkatesh Srinivasan a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783030399504

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-030-39951-1_18.pdf
https://link.springer.com/chapter/10.1007/978-3-030-39951-1_18
https://dblp.uni-trier.de/db/conf/foiks/foiks2020.html#XiaSST20
https://rd.springer.com/chapter/10.1007/978-3-030-39951-1_18

Using Performance Measurements to Improve MapReduce Algorithms.

Prispievatelia: Choe, Yung

Zdroj: Conference: Proposed for presentation at the International Conference on Computational Science (ICCS 2012) held June 4-6, 2012 in Omaha, NE.

Popis súboru: Medium: ED; Size: 10 p.

Prístupová URL adresa: http://www.osti.gov/scitech/servlets/purl/1078816

MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach

Autori: Yasser Abduallah Turki Turki Kevin Byron a ďalší

Zdroj: Biomed Res Int

Predmety: Genomics (q-bio.GN), FOS: Computer and information sciences, 0301 basic medicine, 0303 health sciences, Time Factors, Molecular Networks (q-bio.MN), Information Theory, Saccharomyces cerevisiae, 3. Good health, Computational Engineering, Finance, and Science (cs.CE), 03 medical and health sciences, FOS: Biological sciences, Quantitative Biology - Molecular Networks, Quantitative Biology - Genomics, Gene Regulatory Networks, Computer Science - Computational Engineering, Finance, and Science, Algorithms, Research Article, Oligonucleotide Array Sequence Analysis

Popis súboru: text/xhtml

Prístupová URL adresa: http://downloads.hindawi.com/journals/bmri/2017/6261802.pdf
https://pubmed.ncbi.nlm.nih.gov/28243601
http://arxiv.org/abs/1704.06548
https://dblp.uni-trier.de/db/journals/corr/corr1704.html#AbduallahTBDCW17
https://researchwith.njit.edu/en/publications/mapreduce-algorithms-for-inferring-gene-regulatory-networks-from-
https://core.ac.uk/display/90900988
https://www.ncbi.nlm.nih.gov/pubmed/28243601
http://europepmc.org/articles/PMC5294223
https://downloads.hindawi.com/journals/bmri/2017/6261802.pdf

Efficient MapReduce algorithms for triangle listing in billion-scale graphs

Autori: Lu Qin Yuanyuan Zhu Hao Zhang a ďalší

Zdroj: Distributed and Parallel Databases. 35:149-176

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Prístupová URL adresa: https://opus.lib.uts.edu.au/handle/10453/124245
https://doi.org/10.1007/s10619-017-7193-1
https://link.springer.com/article/10.1007/s10619-017-7193-1
https://dblp.uni-trier.de/db/journals/dpd/dpd35.html#ZhuZQC17

Tight bounds on one- and two-pass MapReduce algorithms for matrix multiplication

Autori: Ashita Nagar Prakash Ramanan

Zdroj: Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond. :1-9

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dl.acm.org/doi/10.1145/2926534.2926542
https://dblp.uni-trier.de/db/conf/sigmod/beyondmr2016.html#RamananN16

Extending Standard MapReduce Algorithms

Autori: Hadi Hashem Daniel Ranc

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

Predmety: 13. Climate action

Prístupová URL adresa: https://ieeexplore.ieee.org/document/7545014/

Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces

Autori: Mazzetto, Alessio Pietracaprina, Andrea Pucci, Geppino a ďalší

Prispievatelia: Mazzetto, Alessio Pietracaprina, Andrea Pucci, Geppino a ďalší

Predmety: FOS: Computer and information sciences, k-means, 4. Education, Coreset, 02 engineering and technology, 7. Clean energy, Clustering, k-median, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Data Structures and Algorithms, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, MapReduce, Data Structures and Algorithms (cs.DS), Distributed, Parallel, and Cluster Computing (cs.DC), ddc:004

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/1904.12728
https://drops.dagstuhl.de/opus/volltexte/2019/11530/pdf/LIPIcs-ISAAC-2019-34.pdf/
https://dblp.uni-trier.de/db/journals/corr/corr1904.html#abs-1904-12728
https://drops.dagstuhl.de/opus/volltexte/2019/11530/
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2019.34

MapReduce Algorithms and Patterns

Autori: Tomasz Wiktorski

Zdroj: Advanced Information and Knowledge Processing ISBN: 9783030046026

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-04603-3_7

MapReduce algorithms for efficient generation of CPS models from large historical data sets

Autori: Oliver Niggemann Stefan Windmann

Zdroj: 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA). :1-4

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Prístupová URL adresa: http://ieeexplore.ieee.org/document/7301574/
https://dblp.uni-trier.de/db/conf/etfa/etfa2015.html#WindmannN15
https://ieeexplore.ieee.org/document/7301574/

MapReduce Meets Fine-Grained Complexity: MapReduce Algorithms for APSP, Matrix Multiplication, 3-SUM, and Beyond

Autori: Hajiaghayi, MohammadTaghi Lattanzi, Silvio Seddighin, Saeed a ďalší

Témy: Computer Science - Data Structures and Algorithms, text

URL: http://arxiv.org/abs/1905.01748

Relational Equivalence Proofs Between Imperative and MapReduce Algorithms

Autori: Beckert, Bernhard Bingmann, Timo Kiefer, Moritz a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783030035914

Predmety: ddc:004, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Software Engineering, Computer Science - Programming Languages, DATA processing & computer science, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Logic in Computer Science (cs.LO), Programming Languages (cs.PL)

Prístupová URL adresa: http://arxiv.org/pdf/1801.08766
http://arxiv.org/abs/1801.08766

Clique Counting in MapReduce: Algorithms and Experiments

Autori: FINOCCHI, Irene FINOCCHI, MARCO FUSCO, EMANUELE GUIDO

Zdroj: ACM Journal of Experimental Algorithmics. 20:1-20

Predmety: FOS: Computer and information sciences, 0301 basic medicine, 03 medical and health sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Clique listing, graph algorithms, MapReduce, parallel algorithms, ex- perimental algorithmics, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Distributed, Parallel, and Cluster Computing (cs.DC), 0102 computer and information sciences, 16. Peace & justice, 01 natural sciences

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1403.0734
http://arxiv.org/abs/1403.0734
https://iris.luiss.it/handle/11385/192593
https://dblp.uni-trier.de/db/journals/jea/jea20.html#FinocchiFF15
https://dl.acm.org/doi/10.1145/2794080
https://doi.org/10.1145/2794080
https://arxiv.org/abs/1403.0734
https://arxiv.org/pdf/1403.0734.pdf
https://ui.adsabs.harvard.edu/abs/2014arXiv1403.0734F/abstract

brief announcement mapreduce algorithms for massive trees

Autori: Bateni, MohammadHossein Behnezhad, Soheil Derakhshan, Mahsa a ďalší

Prispievatelia: Bateni, MohammadHossein Behnezhad, Soheil Derakhshan, Mahsa a ďalší

Predmety: MapReduce, ddc:004, Trees

Popis súboru: application/pdf

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icalp/icalp2018.html#BateniBDHM18
https://drops.dagstuhl.de/opus/volltexte/2018/9166/
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.162