TaCLe - Learning Constraints in Tabular Data
| العنوان: | TaCLe - Learning Constraints in Tabular Data |
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| المؤلفون: | Luc De Raedt, Samuel Kolb, Sergey Paramonov, Tias Guns |
| المساهمون: | Vrije Universiteit Brussel, Business technology and Operations, Electromobility research centre, Lim, Ee-Peng, Winslett, Marianne, Sanderson, Mark, Fu, Ada Wai-Chee, Sun, Jimeng, Culpepper, J Shane, Lo, Eric, Ho, Joyce C, Donato, Debora, Agrawal, Rakesh, Zheng, Yu, Castillo, Carlos, Sun, Aixin, Tseng, Vincent S, Li, Chenliang |
| المصدر: | Proceedings of the 2017 ACM on Conference on Information and Knowledge Management -CIKM '17 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management-CIKM 17 CIKM |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Decision Sciences(all), Constraint learning, Theoretical computer science, Computer science, Spreadsheets, Business, Management and Accounting(all), Statistical relational learning, 020207 software engineering, 02 engineering and technology, Table (information), Row and column spaces, Constraint Learning, Constraint (information theory), 0202 electrical engineering, electronic engineering, information engineering, Relational Learning, 020201 artificial intelligence & image processing, User interface |
| الوصف: | Spreadsheet data is widely used today by many different people and across industries. However, writing, maintaining and identifying good formulae for spreadsheets can be time consuming and error-prone. To address this issue we have introduced the TaCLe system (Tabular Constraint Learner). The system tackles an inverse learning problem: given a plain comma separated file, it reconstructs the spreadsheet formulae that hold in the tables. Two important considerations are the number of cells and constraints to check, and how to deal with multiple formulae for the same cell. Our system reasons over entire rows and columns and has an intuitive user interface for interacting with the learned constraints and data. It can be seen as an intelligent assistance tool for discovering formulae from data. FWO ERC-ADG-201 project 694980 SYNTH funded by the European Research Council ispartof: pages:2511-2514 ispartof: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017 vol:Part F131841 pages:2511-2514 ispartof: Conference on Information and Knowledge Management (CIKM) location:Singapore date:6 Nov - 10 Nov 2017 status: published |
| وصف الملف: | application/pdf |
| DOI: | 10.1145/3132847.3133193 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c16983aa50df63d78bef52d3b1d2c7f7 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....c16983aa50df63d78bef52d3b1d2c7f7 |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.1145/3132847.3133193 |
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