Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

This paper provides a survey of the state-of-the-art and future directions of one of the most
important emerging technologies within business analytics (BA), namely prescriptive …

There are two types of high-performance graph processing engines: low-and high-level
engines. Low-level engines (Galois, PowerGraph, Snap) provide optimized data structures …

We study the performance of eight representative in-memory subgraph matching algorithms.
Specifically, we put QuickSI, GraphQL, CFL, CECI, DP-iso, RI and VF2++ in a common …

We study the problem of optimizing subgraph queries using the new worst-case optimal join
plans. Worst-case optimal plans evaluate queries by matching one query vertex at a time …

Over the past years, there has been a resurgence of Datalog-based systems in the database
community as well as in industry. In this context, it has been recognized that to handle the …

We investigate the problem of building least squares regression models over training
datasets defined by arbitrary join queries on database tables. Our key observation is that …

We define and study the Functional Aggregate Query (FAQ) problem, which encompasses
many frequently asked questions in constraint satisfaction, databases, matrix operations …

Worst-case optimal join algorithms are attractive from a theoretical point of view, as they offer
asymptotically better runtime than binary joins on certain types of queries. In particular, they …

Graph mining is an important category of graph algorithms that aim to discover structural
patterns such as cliques and motifs in a graph. While a great deal of work has been done …