@article{borkar2012declarative,
author = {Borkar, Vinayak R. and Bu, Yingyi and Carey, Michael J. and Rosen, Joshua and Polyzotis, Neoklis and Condie, Tyson and Weimer, Markus and Ramakrishnan, Raghu},
title = {Declarative Systems for Large-Scale Machine Learning.},
year = {2012},
month = {July},
abstract = {In this article, we make the case for a declarative foundation for data-intensive machine learning systems. Instead of creating a new system for each specific flavor of machine learning task, or hardcoding new optimizations, we argue for the use of recursive queries to program a variety of machine learning algorithms. By taking this approach, database query optimization techniques can be utilized to identify effective execution plans, and the resulting runtime plans can be executed on a single unified data-parallel query processing engine.},
url = {http://approjects.co.za/?big=en-us/research/publication/declarative-systems-for-large-scale-machine-learning/},
pages = {24-32},
journal = {IEEE Data(base) Engineering Bulletin},
volume = {35},
}