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A Review of Evolutionary Multi-objective Clustering Approaches [article]

Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
2022 arXiv   pre-print
Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been widely applied to extract patterns, allowing us to analyze different aspects of complex data by considering multiple  ...  The paper ends by addressing some potential subjects for future research.  ...  ACKNOWLEDGMENTS The authors would like to thank the financial support of the National Council for Scientific and Technological Development (CNPq).  ... 
arXiv:2110.08100v2 fatcat:k2lxfbfjwrdmpoer4kb2cyohty

Analysis of differentially-regulated genes within a regulatory network by GPS genome navigation

I. Zwir, H. Huang, E. A. Groisman
2005 Bioinformatics  
Data and predictions are available by request.  ...  However, these methods are not focused on distinguishing between differentially regulated genes within a given network.  ...  Gu for methodological suggestions and H. Salgado for the Salmonella operon information.  ... 
doi:10.1093/bioinformatics/bti672 pmid:16159917 fatcat:6a4sdsxl6fhrhj4unzyd5naq5a

Visible Light-Assisted Soft-Chemistry Route to Silver Nanomaterials at Room Temperature

Yi Wu, Xin Liu, Zi Huang, Xiang Fei He, Xi Yang, Qing Li
2019 Key Engineering Materials  
Those scores are used to differentiate the corresponding clusters and to suggest managerial insights for each of them.  ...  We estimate the model separately for the data of the country cluster of advanced economies and for the data of the country cluster of emerging economies.  ...  Applications have shown that the VIP Analysis and Electre III methods are very promising and strong candidates.  ... 
doi:10.4028/ fatcat:xara5sxzf5fsvbib2dy6vrl7j4

Classification of Explainable Artificial Intelligence Methods through Their Output Formats

Giulia Vilone, Luca Longo
2021 Machine Learning and Knowledge Extraction  
The addition of the dimension of the explanation format makes the proposed classification system a practical tool for scholars, supporting them to select the most suitable type of explanation format for  ...  Machine and deep learning have proven their utility to generate data-driven models with high accuracy and precision. However, their non-linear, complex structures are often difficult to interpret.  ...  Data Availability Statement: Data are contained within the article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/make3030032 fatcat:2mf4wusxdnanthfdayt7iejgl4

Visual Approaches for Exploratory Data Analysis: A Survey of the Visual Assessment of Clustering Tendency (VAT) Family of Algorithms

Dheeraj Kumar, James C. Bezdek
2020 IEEE Systems Man and Cybernetics Magazine  
Figure 17 . 17 A fuzzy cluster analysis framework for GO data proposed by Havens et al. [119] .  ...  sets; based on this initial analysis, different future tasks are designed for more advanced data analysis.  ... 
doi:10.1109/msmc.2019.2961163 fatcat:jvqnvhjgjndyrn3cx6ehcigueu

Quality Metrics for Information Visualization

M. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, D. Weiskopf (+1 others)
2018 Computer graphics forum (Print)  
For each data type, we select the visualization subdomains in which quality metrics are an active research field and report their findings, reason on the underlying concepts, describe goals and outline  ...  This survey attempts to report, categorize and unify the diverse understandings and aims to establish a common vocabulary that will enable a wide audience to understand their differences and subtleties  ...  Acknowledgments The authors would like to thank the German Research Foundation (DFG) for their financial support within the projects A03, B01, B02, and Task Force 1 of SFB/Transregio 161, and the Priority  ... 
doi:10.1111/cgf.13446 fatcat:775eyicidnfbnemnjznmlt2cqm

Explainable Artificial Intelligence: a Systematic Review [article]

Giulia Vilone, Luca Longo
2020 arXiv   pre-print
This systematic review contributes to the body of knowledge by clustering these methods with a hierarchical classification system with four main clusters: review articles, theories and notions, methods  ...  Similarly, [352] employed LRP with DNNs for electroencephalography (EEG) data analysis.  ...  Interval Propagation [141] is an improved version of Validity Interval Analysis (VIA) [239] to extract IF-THEN crisp and fuzzy rules.  ... 
arXiv:2006.00093v4 fatcat:dr26wgxvqrg7diljklhmdjkj7i

CSEIT18315 | Study on Swarm Intelligence on Medical Field PG Scholar 1 , Head of the Department

Snegaa, S Sivakumari, R Priyadarsini, Asst Professor
International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT |   unpublished
Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization Differential Evolution (DE) uses various mutation strategies as search operators to improve fitness value and maintaining  ...  An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization A Multiobjective Evolutionary algorithm (MOEA) with double-level archives was developed with advantages of multiobjective-problem  ... 

GIS-based land-use suitability analysis: a critical overview

Jacek Malczewski
2004 Progress in Planning  
The concluding chapter summarized the main points of the monographs and discusses problems and prospects for GIS-based land-use suitability analysis. q  ...  GISbased land-use suitability mapping and modeling, and (iii) to identify the trends, challenges and prospects of GIS-based land-use suitability analysis.  ...  Massam of York University, Ontario, for his encouragement and advice as I was preparing and writing this monograph. The author is grateful for helpful comments from two anonymous reviewers.  ... 
doi:10.1016/j.progress.2003.09.002 fatcat:tncoufkbxngqzoe7bcxlm3mdhy

Industrial data science – a review of machine learning applications for chemical and process industries

Max Mowbray, Mattia Vallerio, Carlos Perez-Galvan, Dongda Zhang, Antonio Del Rio Chanona, Francisco J. Navarro-Brull
2022 Reaction Chemistry & Engineering  
Acknowledgements The authors appreciate the support from JMP (SAS Institute Inc.) for facilitating the open access of this manuscript.  ...  Fig. 7 7 Fig. 7 Industrial data science workflow based on the IBM crossindustry standard process for data mining (CRISP-DM). Fig.  ...  @KU Leuven in multiobjective optimization of (bio)chemical processes. After that he joined BASF Antwerp, first as APC engineer and then as advanced data analytics lead.  ... 
doi:10.1039/d1re00541c fatcat:q7ielo4h2bgudlypi4vjd4aajm

An approach for pipelining nested collections in scientific workflows

Timothy M. McPhillips, Shawn Bowers
2005 SIGMOD record  
We are grateful to Scott Grafton of the Dartmouth Brain Imaging Center, and to Jens Voeckler, Doug Scheftner, Ewa Deelman, Carl Kesselman, and the entire Virtual Data System team for discussion, guidance  ...  Moreover, he thanks Gianluigi Greco for his recent contribution to the weighted extension, and Alfredo Mazzitelli for his valuable work in designing and implementing the tools for experiments.  ...  The Multiobjective control problem is further studied and a case study is done for proof of correctness. • Abul, O., Alhajj, R., Polat, F., and Barker, K., "Finding Differentially Expressed Genes: Pattern  ... 
doi:10.1145/1084805.1084809 fatcat:sgtpcat7vzc3veb4dx2jgskpte

Multi-criteria evaluation model for the selection of sustainable materials for building projects

Peter O. Akadiri, Paul O. Olomolaiye, Ezekiel A. Chinyio
2013 Automation in Construction  
Linear programming (LP) LP is an optimizing tool for identifying maximum or minimum value of a linear Cluster analysis (CA) Cluster analysis is a tool for grouping objects (people, things, events, etc  ...  The data was now ready for analysis. Method of data analysis Data obtained for this research conformed to either the nominal or ordinal scale (Siegel and Castellan, 1988) .  ...  All of data collected from you will be used only for academic purpose. If you would like any further information about the research, please let me know. 3.  ... 
doi:10.1016/j.autcon.2012.10.004 fatcat:njd5dvu725ghpk7omnpx4aya7e

Fuzzy Logic: A Rule-Based Approach, in Search of a Justified Decision-Making Process in Urban Planning

Reza Piroozfar, Technische Universität Berlin, Technische Universität Berlin, Klaus Zillich
Now, after some other disciplines, this question is asked in a multiobjective environment and activity like planning and, clearly, the question has greater meanings, implications, and applications for  ...  The logic of using a single method, idea, truth, and so on for decision making therefore comes under serious question.  ...  Crispness in Data Gathering First, in basic quantitative data gathering, fuzziness is not involved.  ... 
doi:10.14279/depositonce-3134 fatcat:dfxwixa32jeqhcrf5s3teryygq

Quality of Experience: From Assessment to Application (Dagstuhl Seminar 15022) Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031) Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041) Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051)

Michael Philippsen, Pascal Felber, Michael Scott, J Eliot, Katrien De Moor, Markus Fiedler, Peter Reichl, Martín Varela, Salvatore Greco, Kathrin Klamroth, Joshua Knowles, Günter Rudolph (+13 others)
2015 unpublished
The example problems mentioned in this report may serve as a first benchmark for such approaches.  ...  This includes generalizations to interwoven systems with more than two subproblems, an in-depth analysis of the similarities and the differences between different notions of optimality and between the  ...  This asks for a thorough complexity theory and analysis of discrete multiobjective optimization problems.  ... 

Distributed analysis of vertically partitioned sensor measurements under communication constraints

Marco Stolpe, Technische Universität Dortmund, Technische Universität Dortmund
automated data analysis methods known today.  ...  For instance, the information obtained from data analysis modules embedded into existing processes could help their optimization, leading to more sustainable systems which save resources in sectors such  ...  The CRISP-DM Process According to the Cross Industry Standard Process for Data Mining (CRISP-DM) [She00] , the process of data mining consists of the following common steps: Business Understanding First  ... 
doi:10.17877/de290r-17839 fatcat:qlo3l2mgrrh4dp3gwaktmcyfm4
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