Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: The Strength of SuRF
The authors of "Succinct Range Filters" make a critical and insightful observation: For a given set of queries, the upper levels of the trie incur many more accesses...
From Communications of the ACM
Succinct Range Filters
We present the Succinct Range Filter (SuRF), a fast and compact data structure for approximate membership tests.
From Communications of the ACM
Technical Perspective: Progress in Spatial Computing for Flood Prediction
There are few algorithms for multi-flow graphs beyond flow accumulation. The authors of "Flood-Risk Analysis on Terrains" take a big step to fill this knowledge...
From Communications of the ACM
Flood-Risk Analysis on Terrains
In this paper, we study a number of flood-risk related problems, give an overview of efficient algorithms for them, as well as explore the efficacy and efficiency...
From Communications of the ACM
Technical Perspective: Computing the Value of Location Data
"Computing Value of Spatiotemporal Information," by Heba Aly et al., describes a technique for computing the monetary value of a person's location data for a potential...
From Communications of the ACM
Computing Value of Spatiotemporal Information
We investigate the intrinsic value of location data in the context of strong privacy, where location information is only available from end users via purchase. ...
From Communications of the ACM
Technical Perspective: To Do or Not To Do: Extending SQL with Integer Linear Programming?
"Scalable Computation of High-Order Optimization Queries," by Brucato et al., makes a case for marrying the well-established paradigms of constrained optimization...
From Communications of the ACM
Scalable Computation of High-Order Optimization Queries
We present a complete system that supports package queries, a new query model that extends traditional database queries to handle complex constraints and preferences...
From Communications of the ACM
Technical Perspective: Moving Spectrum
The incentive auction scenario provides the backdrop for the breathtaking research contribution presented by Newman et al. in "Deep Optimization for Spectrum Repacking...
From Communications of the ACM
Deep Optimization For Spectrum Repacking
This paper describes the process by which we built the SAT-based Feasibility Checker, a crucial element of the 2016-17 U.S. FCC "incentive auction" design.
From Communications of the ACM
Technical Perspective: Pricing Information (and Its Implications)
"A Theory of Pricing Private Data," by Chao Li, et al., introduces a fascinating and complicated issue that arises on the buy-side of the market when buyers are...
From Communications of the ACM
A Theory Of Pricing Private Data
We describe the foundations of a market in which those seeking access to data must pay for it and individuals are compensated for the loss of privacy they may suffer...
From Communications of the ACM
Technical Perspective: Solving Imperfect Information Games
"Heads-Up Limit Hold'em Poker Is Solved," by Michael Bowling, et al., takes the counterfactual regret minimization method for approximating a Nash equilibrium to...
From Communications of the ACM
Heads-Up Limit Hold'em Poker Is Solved
This paper is an extended version of our original 2015 Science article, with additional results showing Cepheus' in-game performance against computer and human...
From Communications of the ACM
Technical Perspective: Shedding New Light on an Old Language Debate
"A Large-Scale Study of Programming Languages and Code Quality in GitHub," by Baishakhi Ray, et al., studies whether programming language choice and code quality...
From Communications of the ACM
A Large-Scale Study of Programming Languages and Code Quality in Github
What is the effect of programming languages on software quality? In this study, we gather a very large data set from GitHub in an attempt to shed some empirical...
From Communications of the ACM
Technical Perspective: Broadening and Deepening Query Optimization Yet Still Making Progress
"Multi-Objective Parametric Query Optimization," by Immanuel Trummer and Christoph Koch is a remarkable tour de force exploration of the combination of both parametric...
From Communications of the ACM
Multi-Objective Parametric Query Optimization
We propose a generalization of the classical database query optimization problem: multi-objective parametric query (MPQ) optimization.
From Communications of the ACM
Technical Perspective: What Led Computer Vision to Deep Learning?
We are in the middle of the third wave of interest in artificial neural networks as the leading paradigm for machine learning. "ImageNet Classification with Deep...
From Communications of the ACM