Data Mining and Machine Learning with Applications
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (272 p.)Innehållstyp: - text
- computer
- online resource
- 9783036598079
- 9783036598185
- Computing and Information Technology
- Computer science
- CIC-IDS-2017
- CIC-IDS2018
- ECDH
- ENSO forecasting
- Flight Maneuver Recognition (FMR)
- GDP
- Internet of Things (IoT)
- IoT
- LSTM
- Markov decision process
- NSL-KDD
- Unet
- artificial intelligence
- assisting glaucoma screening
- authentication
- backward elimination learning
- class association rules
- classification
- climate change
- climate disasters
- clustering
- convolutional neural network
- data mining
- deep learning
- discrete Hopfield neural network
- evolutionary computation
- feature extraction
- finite-time thermodynamics
- fundus image analysis
- genetic algorithm
- greedy search
- greenhouse gas
- image denoising
- image pyramid
- information aggregation
- interpretability
- intrusion detection
- log-linear analysis
- logic mining
- machine learning
- maintenance decision-making
- malware analysis
- model coverage
- multi-horizon forecasting
- multi-scale features
- phase space reconstruction
- ransomware detection
- representative rule
- reverse analysis
- rolling bearing
- statistical classification
- symmetric cryptographic
- time fusion transformers
- unsupervised clustering
- wavelet tr
Open Access Unrestricted online access star
The Special Issue entitled "Data Mining and Machine Learning with Applications" aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue. It is our hope that readers can benefit from the valuable insights presented in these papers, ultimately contributing to the advancement of these rapidly expanding areas. Furthermore, we believe that this Special Issue will shed light on major developments in machine learning and data mining, drawing the attention of the scientific community towards further investigations that will expedite the implementation of these techniques.
Creative Commons Licence cc by-nc-nd cc https://creativecommons.org/licenses/by-nc-nd/4.0/
eng
Freely available e-book