Eric Simon

A Meta-level Analysis of Online Anomaly Detectors

Real-time detection of anomalies in streaming data is receiving increasing attention as it allows us to raise alerts, predict faults, and detect intrusions or threats across industries. Yet,...

Automated Planning for Optimal Data Pipeline Instantiation

Data pipeline frameworks provide abstractions for implementing sequences of data-intensive transformation operators, automating the deployment and execution of such transformations in a cluster....

Controlling the Correctness of Aggregation Operations During Sessions of Interactive Analytic Queries

We present a comprehensive set of conditions and rules to control the correctness of aggregation queries within an interactive data analysis session. The goal is to extend self-service data...

Opportunistic computing experience with the SAM platform

Putting the Human Back in the AutoML Loop

A Comparative Evaluation of Anomaly Explanation Algorithms

Reality check: a case study of an EII research prototype encountering customer needs

An Architecture for Managing Distributed Scientific Resources

AOLOA: A Composable Framework for Third-Party Applications for Smart Home Gateways

Extensible and General Service-Oriented Platform: Experience with the Service Abstract Machine

Declarative Data Cleaning: Language, Model, and Algorithms

SVP: A Model Capturing Sets, Lists, Streams, and Parallelism

Promises and Realities of Active Database Systems

Implementing High Level Active Rules on Top of a Relational DBMS

Towards DBMSs for Supporting New Applications

Fast Algorithms for Maintaining Replica Consistency in Lazy Master Replicated Databases

Modelling Non Deterministic Queries and Updates in Deductive Databases

An Adaptive Algorithm for Incremental Evaluation of Production Rules in Databases