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Entropy in Real-World Datasets and Its Impact on Machine Learning

Entropy in Real-World Datasets and Its Impact on Machine Learning

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The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker.

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Keywords

  • action units
  • ADF
  • Agent-Based Modelling
  • ARMA
  • association rules
  • automatic translation
  • bike-sharing
  • CEEMDAN
  • Classification
  • classification measure
  • coalitions
  • Computer science
  • Computing & information technology
  • COVID-19
  • decision rules
  • Decision table
  • decision tables
  • decision tree
  • decision trees
  • des
  • differential cryptanalysis
  • dispersed data
  • distributed data
  • dynamic stochastic general equilibrium models
  • Economics, finance, business & management
  • entropy measure
  • entropy of real data
  • fast iterative filtering
  • fault diagnosis
  • feature selection
  • greedy heuristics
  • hybrid model
  • hybrid TCN-GRU model
  • imbalanced data
  • independent data sources
  • Industry & industrial studies
  • Information systems
  • Information technology industries
  • length
  • LSTM
  • Machine learning
  • Media, information & communication industries
  • memetic algorithms
  • metaheuristics
  • one-class classification
  • optical networks
  • parameter adaptive refined composite multiscale fluctuation-based dispersion entropy
  • Pawlak conflict analysis model
  • preference-driven classification
  • preprocessing
  • quality measure
  • quality of classification
  • query set
  • real-world data
  • reducts
  • rotating machinery
  • Rough sets
  • scenario analyses
  • short-term demand prediction
  • Sign language
  • simulated annealing
  • stock index forecasting
  • Support
  • symmetric block ciphers
  • Tests
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • travel characteristics analysis
  • vaccination
  • validation of results

Links

DOI: 10.3390/books978-3-0365-7849-1

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