https://github.com/ozlemkorpe/data-mining-with-knime
Basic knime examples for beginners. It includes many different operations like filtering, predicting, string manipulation, math operations etc.
https://github.com/ozlemkorpe/data-mining-with-knime
data-mining knime logistic-regression-algorithm partitioning prediction
Last synced: 4 months ago
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Basic knime examples for beginners. It includes many different operations like filtering, predicting, string manipulation, math operations etc.
- Host: GitHub
- URL: https://github.com/ozlemkorpe/data-mining-with-knime
- Owner: ozlemkorpe
- Created: 2020-05-10T19:31:41.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-29T01:29:22.000Z (almost 6 years ago)
- Last Synced: 2025-05-22T08:24:53.121Z (about 1 year ago)
- Topics: data-mining, knime, logistic-regression-algorithm, partitioning, prediction
- Homepage:
- Size: 2.87 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Data-Mining-With-Knime
Basic knime examples on three different datasets.
This project contains basic data operations like filtering columns and rows, prediction from provided datasets, creating new column by calculating columns values.
To execute this project succesfully, you must configure csv reader nodes with the provided datasets.
Simply download related dataset and then rigth click on the CSV Reader node and select the path of downloaded dataset. Then apply tha changes.
# Nodes
* Row Filter
* Column Filter
* Rule Engine
* String Manipulator
* Math Operations
* PMML Normalizer
* Partitioning
* Logistic Regression Learner
* Logistic Regression Predictor
* Scorer
## Authors
* **Özlem Körpe** - *Initial work* - [ozlemkorpe](https://github.com/ozlemkorpe)