64 citations · 64 across the 7 of their papers we have counts for
7 papers
OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates
Wieger R. Punter, Odysseas Papapetrou, Minos Garofalakis
A key need in different disciplines is to perform analytics over fast-paced data streams, similar in nature to the traditional OLAP analytics in relational databases i.e., with fil…
Improved Pan-Private Stream Density Estimation
Vassilis Digalakis, George N. Karystinos, Minos N. Garofalakis
Differential privacy is a rigorous definition for privacy that guarantees that any analysis performed on a sensitive dataset leaks no information about the individuals whose data a…
Multi-Resource Parallel Query Scheduling and Optimization
Minos Garofalakis, Yannis Ioannidis
Scheduling query execution plans is a particularly complex problem in shared-nothing parallel systems, where each site consists of a collection of local time-shared (e.g., CPU(s) o…
Efficient Stepwise Selection in Decomposable Models
Amol Deshpande, Minos Garofalakis, Michael I. Jordan
In this paper, we present an efficient way of performing stepwise selection in the class of decomposable models. The main contribution of the paper is a simple characterization of…
Sketch-based Querying of Distributed Sliding-Window Data Streams
Odysseas Papapetrou, Minos Garofalakis, Antonios Deligiannakis
While traditional data-management systems focus on evaluating single, ad-hoc queries over static data sets in a centralized setting, several emerging applications require (possibly…
Large-Scale Collective Entity Matching
Vibhor Rastogi, Nilesh Dalvi, Minos Garofalakis
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being appl…