51 citations · 87 across the 5 of their papers we have counts for
5 papers
Scaling-Up Reasoning and Advanced Analytics on BigData
Tyson Condie, Ariyam Das, Matteo Interlandi +3
BigDatalog is an extension of Datalog that achieves performance and scalability on both Apache Spark and multicore systems to the point that its graph analytics outperform those wr…
Fixpoint Semantics and Optimization of Recursive Datalog Programs with Aggregates
Carlo Zaniolo, Mohan Yang, Matteo Interlandi +3
A very desirable Datalog extension investigated by many researchers in the last thirty years consists in allowing the use of the basic SQL aggregates min, max, count and sum in rec…
Pregelix: Big(ger) Graph Analytics on A Dataflow Engine
Yingyi Bu, Vinayak Borkar, Jianfeng Jia +2
There is a growing need for distributed graph processing systems that are capable of gracefully scaling to very large graph datasets. Unfortunately, this challenge has not been eas…
Iterative MapReduce for Large Scale Machine Learning
Joshua Rosen, Neoklis Polyzotis, Vinayak Borkar +5
Large datasets ("Big Data") are becoming ubiquitous because the potential value in deriving insights from data, across a wide range of business and scientific applications, is incr…
Scaling Datalog for Machine Learning on Big Data
Yingyi Bu, Vinayak Borkar, Michael J. Carey +5
In this paper, we present the case for a declarative foundation for data-intensive machine learning systems. Instead of creating a new system for each specific flavor of machine le…