Name
Abstract | ||
|---|---|---|
A simple but non-trivial setting for automating data science is introduced. Given are a set of worksheets in a spreadsheet and the goal is to automatically complete some values. We also outline elements of the Synth framework that tackles this task: Synth-a-Sizer, an automated data wrangling system for automatically transforming the problem into attribute-value format; TacLe, an inductive constraint learning system for inducing formulas in spreadsheets; Mercs, a versatile predictive learning system; as well as the autocompletion component that integrates these systems. |
Year | Venue | Field |
|---|---|---|
2018 | IDA | Predictive learning,Computer science,Constraint learning,Artificial intelligence,Data wrangling,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
16 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luc De Raedt | 1 | 5481 | 505.49 |
| Hendrik Blockeel | 2 | 2744 | 177.48 |
| Samuel Kolb | 3 | 5 | 5.49 |
| stefano teso | 4 | 38 | 14.21 |
| Gust Verbruggen | 5 | 8 | 2.54 |