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Problems With Data Mining Algorithms

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13 documents available in our comprehensive collection of Problems With Data Mining Algorithms resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

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Read more. (Fair-Transparent-and-Accountable-Algorithmic-Decision-making-Processes.pdf)

214 KBDSpaceEN 19 pages
Algorithmic decision-making processes are increasingly used to address complex societal problems, potentially leading to more objective and fairer decisions
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Data Mining Fundamentals (Lecture_15_MLandDMintro_03_09_2015.pdf)

49 KBEN 3 pages
Machine learning and data mining are two subfields of computer science that find patterns in data
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Top 10 Data Mining Algorithms: A Survey (10Algorithms-08.pdf)

783 KBEN 37 pages
This survey paper identifies and discusses the top 10 most influential data mining algorithms, including C4
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PDF (LIPIcs.ICDT.2016.4.pdf)

442 KBEN 12 pages
Woodruff presents new algorithms for finding heavy hitters in data streams, improving upon classical solutions
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Furthest Neighbors Search (2016fast.pdf)

414 KBEN 14 pages
The authors present a novel strategy for approximate furthest neighbor search, called DrusillaSelect, which selects a candidate set using the data
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Semi-Supervised Learning (304_main_paper.pdf)

330 KBEN 15 pages
Semi-supervised learning uses unlabeled data to improve performance
Preview of Pareto Optimization for Subset Selection: Theories and Practical Algorithms
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Pareto Optimization for Subset Selection: Theories and Practical Algorithms (5_Pareto-Optimization-for-Subset-Selection.pdf)

122 KBAlexander DockhornEN 2 pages
Pareto optimization is a framework for solving single-objective optimization problems using multi-objective evolutionary optimization, with applications in
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Ant Colony Optimization for Traffic Dispersion Routing (10_043.pdf)

356 KBEN 7 pages
Ant Colony Optimization (ACO) applied to traffic dispersion routing, proposed by researchers from Delft University of Technology, aims to optimize vehicle paths, enhancing traffic flow efficiency as presented in their technical report 10-043.
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TV-L1 Flow (article_lr.pdf)

662 KBJavier Sánchez, Enric Meinhardt-Llopis, Gabriele FaccioloEN 14 pages
TV-L1 optical flow estimation is based on minimizing a functional with a data term using the L1 norm and a regularization term using the total variation of the
Preview of SUPERFLIP: A Computer Program for Crystal Structure Solution using Charge Flipping
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SUPERFLIP: A Computer Program for Crystal Structure Solution using Charge Flipping (publ_07_palatinus_c.pdf)

84 KBEN 5 pages
SUPERFLIP is a computer program solving crystal structures via charge flipping, handling periodic, incommensurate, and quasi-crystalline structures from X-ray and neutron diffraction data, including powder diffraction with histogram matching
Preview of Independent Component Analysis as a Preprocessing step for Data Compression of Neonatal EEG
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Independent Component Analysis as a Preprocessing step for Data Compression of Neonatal EEG (Bogdan_Mijovic_IEEE_EMBC.pdf)

385 KBEN 5 pages
Independent Component Analysis (ICA) is used as a preprocessing step to compress neonatal EEG data, reducing reconstruction time by 33%-50% and enhancing compression rates by 33%
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SFTW420 (sftw420.pdf)

167 KBFST, UMEN 5 pages
University of Macau Faculty of Science and Technology Department of Computer and Information Science SFTW420 Computer Based Simulation Syllabus 2nd Semester...
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(Pearson-E.Books-List.pdf)

193 KBkishore vdEN 16 pages
They provided a list of books with details like S

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