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Papers: 10.3390/s21062039

https://doi.org/10.3390/s21062039

Detecting Anomalous Transactions via an IoT Based Application: A Machine Learning Approach for Horse Racing Betting

Cited by: 2
Author(s): Moohong Min, Jemin Justin Lee, Hyunbeom Park, Kyung-Ho Lee
Published: over 4 years ago

Software Mentions 6

pypi: compile
Compiling Python source code into bytecode in production environment
Papers that mentioned: 3
Very Likely Science (65)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: tqdm
Fast, Extensible Progress Meter
Papers that mentioned: 6
Very Likely Science (65)