NarmViz

Visualize time series numerical association rules

https://github.com/firefly-cpp/narmviz.jl

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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DOI references
Found 4 DOI reference(s) in README
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Academic publication links
Links to: arxiv.org
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Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary

Keywords

association-rules data-science machine-learning

Keywords from Contributors

evolutionary-algorithm association-rule-mining data-mining swarm-intelligence nature-inspired-algorithms optimization-algorithms automl classification-pipelines microframework toml

Last synced: 4 months ago · JSON representation ·

Repository

Visualize time series numerical association rules

Basic Info

Host: GitHub
Owner: firefly-cpp
License: mit
Language: Julia
Default Branch: main
Homepage:
Size: 666 KB

Statistics

Stars: 2
Watchers: 2
Forks: 1
Open Issues: 1
Releases: 2

Topics

association-rules data-science machine-learning

Created almost 3 years ago · Last pushed 7 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

NarmViz.jl

GitHub commit activity

✨ Detailed insights • 📊 Visualization examples • 📦 Installation • 🚀 Usage • 📚 References • 🔗 Related software • 📄 Cite us • 🔑 License • 🫂 Contributors

NarmViz.jl is a Julia framework primarily developed to visualize time series numerical association rules. 📈 The framework also supports visualization of other numerical association rules.

✨ Detailed insights

The current version includes (but is not limited to) the following functions: - loading datasets in CSV format 📁 - preprocessing of data 🔄 - visualization of association rules 📊 - exporting figures to files 💾

📊 Visualization examples

| Example 1 | Example 2 | |:-------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------:| | | |

| Example 3 | Example 4 | |:-------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------:| | | |

📦 Installation

pkg> add NarmViz

🚀 Usage

Basic run example

```julia using NarmViz using NiaARM

load transaction database

dataset = Dataset("datasets/random_sportydatagen.csv")

vector of antecedents

antecedent = Attribute[ NumericalAttribute("duration", 50, 65), NumericalAttribute("distance", 15.0, 40.0), ]

vector of consequents

consequent = Attribute[ NumericalAttribute("calories", 200.0, 450.0), NumericalAttribute("descent", 50.0, 140.0), ]

rule = Rule(antecedent, consequent)

call the visualization function

visualize( rule, dataset, path="example.pdf", # path (if not specified, the plot will be displayed in the GUI) allfeatures=false, # visualize all features, not only antecedents and consequence antecedent=true, # visualize antecedent consequent=true, # visualize consequent timeseries=true, # set false for non-time series datasets intervalcolumn="interval", # Name of the column which denotes the interval (only for time series datasets) interval=3 # which interval to visualize ) ```

📚 References

Ideas are based on the following research papers:

[1] Fister Jr, I., Fister, I., Fister, D., Podgorelec, V., & Salcedo-Sanz, S. (2023). A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas. arXiv preprint arXiv:2302.12594.

[2] Fister Jr, I., Fister, D., Fister, I., Podgorelec, V., & Salcedo-Sanz, S. (2022). Time series numerical association rule mining variants in smart agriculture. arXiv preprint arXiv:2212.03669.

[3] I. Fister Jr., I. Fister A brief overview of swarm intelligence-based algorithms for numerical association rule mining. arXiv preprint arXiv:2010.15524 (2020).

[4] I. Fister Jr., A. Iglesias, A. Gálvez, J. Del Ser, E. Osaba, I Fister. Differential evolution for association rule mining using categorical and numerical attributes In: Intelligent data engineering and automated learning - IDEAL 2018, pp. 79-88, 2018.

🔗 Related software

NiaARM.jl

📄 Cite us

Fister, I. Jr, Fister, I., Podgorelec, V., Salcedo-Sanz, S., & Holzinger, A. (2024). NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture. Expert Systems, 41(3), e13503. https://doi.org/10.1111/exsy.13503

🔑 License

This package is distributed under the MIT License. This license can be found online at http://www.opensource.org/licenses/MIT.

Disclaimer

This framework is provided as-is, and there are no guarantees that it fits your purposes or that it is bug-free. Use it at your own risk!

🫂 Contributors

_{Iztok Fister Jr.}
💻 📖 ⚠️ 🤔 🧑‍🏫

_zStupan
💻 🐛 ⚠️

_{Tadej Lahovnik}
📖

_{Marcus Gugacs}
💻 📖 🤔 ⚠️

_{Eva Christina Haring}
💻 📖 🤔 ⚠️

Owner

Name: Iztok Fister Jr.
Login: firefly-cpp
Kind: user
Location: Slovenia

Website: http://www.iztok-jr-fister.eu/
Repositories: 28
Profile: https://github.com/firefly-cpp

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Fister Jr."
  given-names: "Iztok"
  orcid: "https://orcid.org/0000-0002-6418-1272"
title: "NarmViz.jl"
version: 0.1.0
doi: 10.1111/exsy.13503
date-released: 2023-11-15
url: "https://github.com/firefly-cpp/NarmViz.jl"
preferred-citation:
  type: article
  authors:
  - family-names: "Fister Jr."
    given-names: "Iztok"
    orcid: "https://orcid.org/0000-0002-6418-1272"
  - family-names: "Fister"
    given-names: "Iztok"
    orcid: "https://orcid.org/0000-0002-9964-6957"
  - family-names: "Podgorelec"
    given-names: "Vili"
    orcid: "https://orcid.org/0000-0001-6955-7868"
  - family-names: "Salcedo-Sanz"
    given-names: "Sancho"
    orcid: "https://orcid.org/0000-0002-4048-1676"
  - family-names: "Holzinger"
    given-names: "Andreas"
    orcid: "https://orcid.org/0000-0002-6786-5194"
  doi: "10.0000/00000"
  journal: "Expert Systems"
  start: 1 # First page number
  end: 15 # Last page number
  title: "NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture"
  issue: 41
  volume: 3
  year: 2024

GitHub Events

Total

Watch event: 2
Delete event: 6
Issue comment event: 4
Member event: 2
Push event: 18
Pull request event: 7
Fork event: 1
Create event: 7

Last Year

Watch event: 2
Delete event: 6
Issue comment event: 4
Member event: 2
Push event: 18
Pull request event: 7
Fork event: 1
Create event: 7

Committers

Last synced: 7 months ago

All Time

Total Commits: 96
Total Committers: 6
Avg Commits per committer: 16.0
Development Distribution Score (DDS): 0.542

Past Year

Commits: 27
Committers: 4
Avg Commits per committer: 6.75
Development Distribution Score (DDS): 0.519

Top Committers

Name	Email	Commits
Iztok Fister Jr	i**k@i**u	44
zStupan	z**n@g**m	14
Marcus Gugacs	m**s@s**t	13
allcontributors[bot]	4****]	10
Eva Haring	e**g@s**t	9
Tadej Lahovnik	t**k@s**i	6

Committer Domains (Top 20 + Academic)

student.tugraz.at: 2 student.um.si: 1 iztok-jr-fister.eu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 5
Total pull requests: 18
Average time to close issues: 5 days
Average time to close pull requests: about 3 hours
Total issue authors: 2
Total pull request authors: 5
Average comments per issue: 1.4
Average comments per pull request: 0.78
Merged pull requests: 15
Bot issues: 0
Bot pull requests: 7

Past Year

Issues: 0
Pull requests: 10
Average time to close issues: N/A
Average time to close pull requests: about 4 hours
Issue authors: 0
Pull request authors: 4
Average comments per issue: 0
Average comments per pull request: 0.7
Merged pull requests: 7
Bot issues: 0
Bot pull requests: 4

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Top Authors

Issue Authors

firefly-cpp (4)
JuliaTagBot (1)

Pull Request Authors

allcontributors[bot] (10)
zStupan (8)
lahovniktadej (4)
IImpaq (2)
evaharing (2)

Top Labels

Issue Labels

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- julia 1 total

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 2

juliahub.com: NarmViz

Visualize time series numerical association rules

Documentation: https://docs.juliahub.com/General/NarmViz/stable/
License: MIT
Latest release: 0.2.0
published over 1 year ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 1 Total

Rankings

Dependent repos count: 9.9%

Dependent packages count: 38.8%

Average: 44.9%

Forks count: 55.3%

Stargazers count: 75.6%

Last synced: 4 months ago

NarmViz

Science Score: 67.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

NarmViz.jl

✨ Detailed insights

📊 Visualization examples

📦 Installation

🚀 Usage

Basic run example

load transaction database

vector of antecedents

vector of consequents

call the visualization function

📚 References

🔗 Related software

📄 Cite us

🔑 License

Disclaimer

🫂 Contributors

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

juliahub.com: NarmViz

Rankings