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

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 chara...

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Bibliographic Details
Main Author: Kozak, Jan
Other Authors: Juszczuk, Przemysław
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Distributed Data
Machine Learning
Memetic Algorithms
Des
Entropy Measure
Fast Iterative Filtering
Classification Measure
Scenario Analyses
Adf
Reducts
Coalitions
Pawlak Conflict Analysis Model
Information Systems
Optical Networks
Feature Selection
One-class Classification
Real-world Data
Quality Of Classification
Differential Cryptanalysis
Bike-sharing
Sign Language
Tests
Lstm
Action Units
Parameter Adaptive Refined Composite Multiscale Fluctuation-based Dispersion Entropy
Imbalanced Data
Hybrid Tcn-gru Model
Covid-19
Travel Characteristics Analysis
Information Technology Industries / Bicssc
Decision Tables
Preprocessing
Dynamic Stochastic General Equilibrium Models
Support
Computer Science / Bicssc
Query Set
Length
Rotating Machinery
Decision Trees
Automatic Translation
Quality Measure
Ceemdan
Symmetric Block Ciphers
Fault Diagnosis
Decision Rules
Greedy Heuristics
Simulated Annealing
Short-term Demand Prediction
Arma
Classification
Independent Data Sources
Dispersed Data
Entropy Of Real Data
Metaheuristics
Association Rules
Decision Tree
Rough Sets
Stock Index Forecasting
Agent-based Modelling
Decision Table
Vaccination
Preference-driven Classification
Hybrid Model
Validation Of Results
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (278 p.)
ISBN:9783036578484
9783036578491
books978-3-0365-7849-1

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