AVATAR — Automated feature wrangling for machine learning
| العنوان: | AVATAR — Automated feature wrangling for machine learning |
|---|---|
| المؤلفون: | Luc De Raedt, Gust Verbruggen, Sebastijan Dumancic, Elia Van Wolputte |
| المساهمون: | Abreu, PH, Rodrigues, PP, Fernandez, A, Gama, J |
| المصدر: | Advances in Intelligent Data Analysis XIX-19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings Lecture Notes in Computer Science Lecture Notes in Computer Science-Advances in Intelligent Data Analysis XIX Advances in Intelligent Data Analysis XIX ISBN: 9783030742508 IDA |
| بيانات النشر: | Springer, Cham, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Measure (data warehouse), business.industry, Computer science, Significant part, Process (computing), 02 engineering and technology, Machine learning, computer.software_genre, 020204 information systems, Data wrangling, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), 020201 artificial intelligence & image processing, Artificial intelligence, Raw data, business, computer, Program synthesis, Avatar |
| الوصف: | A large part of the time invested in data science is spent on manual preparation of data. Transforming wrongly formatted columns into useful features takes up a significant part of this time. We present the avatar algorithm for automatically learning programs that perform this type of feature wrangling. Instead of relying on users to guide the wrangling process, avatar directly uses the predictive performance of machine learning models to measure its progress during wrangling. We use datasets from Kaggle to show that avatar improves raw data for prediction, and square it off against human data scientists. ispartof: pages:235-247 ispartof: Lecture Notes in Computer Science vol:12695 pages:235-247 ispartof: Symposium on Intelligent Data Analysis (IDA 2021) location:Online date:26 Apr - 28 Apr 2021 status: Published online |
| ردمك: | 978-3-030-74250-8 978-3-030-74251-5 |
| تدمد: | 0302-9743 1611-3349 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a0c29d207873056131cdb914514cee https://lirias.kuleuven.be/handle/123456789/674016 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....95a0c29d207873056131cdb914514cee |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030742508 9783030742515 |
|---|---|
| تدمد: | 03029743 16113349 |