6 citations · 8 across the 3 of their papers we have counts for
6 papers
Monotonic Properties of Completed Aggregates in Recursive Queries
Carlo Zaniolo, Ariyam Das, Jiaqi Gu +3
The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those used in graph applications, KDD applications, and…
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
Ariyam Das, Youfu Li, Jin Wang +2
In the past, the semantic issues raised by the non-monotonic nature of aggregates often prevented their use in the recursive statements of logic programs and deductive databases. H…
A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation
Ariyam Das, Carlo Zaniolo
A large class of traditional graph and data mining algorithms can be concisely expressed in Datalog, and other Logic-based languages, once aggregates are allowed in recursion. In f…
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…
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems
Manoj Reddy Dareddy, Ariyam Das, Junghoo Cho +1
Most industrial recommender systems rely on the popular collaborative filtering (CF) technique for providing personalized recommendations to its users. However, the very nature of…
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…