Computational Intelligence

The compressed file contains:

  • Data files in spreadsheet format from three different networks (friendship, companionship and acquaintances).
  • Analysis files from UCINET, Pajek, Cytoscape and Gephi.

It is thus possible to corroborate the results mentioned in different studies that refer to these data.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 06/20/2019 - 08:50
    80 views

    OntoSNAQA is the name that combines Social Network Analysis (SNA), People and Questionnaires (Question and Answers - QA).This ontology will be updated in this project of github and in the url http://www.jabenitez.com/ontologies/OntoSNAQA.owl.It's an ontology that combines three different domains:- People- Questionnaires- Social Network Analysis termsThe mainly objective of this ontology is to achieve a complete automatized Social Network Analysis.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 06/20/2019 - 08:42
    46 views

    We introduce a benchmark of distributed algorithms execution over big data. The datasets are composed of metrics about the computational impact (resource usage) of eleven well-known machine learning techniques on a real computational cluster regarding system resource agnostic indicators: CPU consumption, memory usage, operating system processes load, net traffic, and I/O operations. The metrics were collected every five seconds for each algorithm on five different data volume scales, totaling 275 distinct datasets.

  • Standards Research Data
  • Last Updated On: 
    Thu, 06/06/2019 - 13:58
    301 views

    SDTwittC consists of 200 authors evenly balanced by gender (100 for each). We identified the gender of the tweeters via their names and profile pictures. As potential copy-and-paste texts, both tweets and retweets are discarded in the first place. Only replies are compiled. The number of replies for each author varies from hundreds to thousands. Male authors produced 233926 replies whereas 219740 replies are generated by the female group

  • Computational Intelligence
  • Last Updated On: 
    Sun, 06/02/2019 - 22:52
    54 views

    This dataset was created based on the paper 'Andras Hajdu, Gyorgy Terdik, Attila Tiba, and Henrietta Toman: A stochastic approach to handle knapsack problems in the creation of ensembles'.To summarize our experimental setup for UCI binary classification problems, we have considered base classifiers perceptron, decision tree, Levenberg-Marquardt feedforward neural network, random neural network, and discriminative restricted Boltzmann machine classifier for the 5 UCI datasets MAGIC Gamma Telescope, HIGGS, EEG EyeState, Musk (Version 2), and Spambase; datasets of large cardinalities were sele

  • Computational Intelligence
  • Last Updated On: 
    Fri, 05/31/2019 - 04:47
    67 views

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 06/06/2019 - 17:25
    68 views

    Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation tool

     

    These data had been donated by Peyman Mahouti in 2019.

    Donators note:

    Please cite the following paper if you use this data set:

    [1]      Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.

     

  • Computational Intelligence
  • Last Updated On: 
    Sat, 05/25/2019 - 05:05
    34 views

    Supplementary data for the IEEE Access paper Applicability of Immersive Analytics in Mixed Reality: Usability Study

  • Computational Intelligence
  • Last Updated On: 
    Thu, 05/23/2019 - 02:13
    66 views

    To obtain the prices of parts from the manufacturing characteristics and other manufacturing processes, feature quantity expression is innovatively applied. By identifying manufacturing features and calculating the feature quantities, the feature quantities are described in the form of assignments as data. To obtain the prices of parts intelligently, the most widely used and mature deep-learning method is adopted to realize the accurate quotation of parts

  • Computational Intelligence
  • Last Updated On: 
    Tue, 05/21/2019 - 21:42
    17 views

    This dataset used in the experiment of paper "Bus Ridesharing Scheduling Problem". This is a real-world bus ridesharing scheduling problem of Chengdu city in China, which includes 10 depots, 2,000 trips.

  • Transportation
  • Last Updated On: 
    Wed, 05/08/2019 - 09:20
    67 views

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