activity
19982020
most citedThe Lowell Database Research Self Assessment

6 citations · 20 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2020

Sharon: Shared Online Event Sequence Aggregation

Olga Poppe, Allison Rozet, Chuan Lei +2

Streaming systems evaluate massive workloads of event sequence aggregation queries. State-of-the-art approaches suffer from long delays caused by not sharing intermediate results o…

cs.DS2020★ 2 cited

GRETA: Graph-based Real-time Event Trend Aggregation

Olga Poppe, Chuan Lei, Elke A. Rundensteiner +1

Streaming applications from algorithmic trading to traffic management deploy Kleene patterns to detect and aggregate arbitrarily-long event sequences, called event trends. State-of…

cs.DB2020

Event Trend Aggregation Under Rich Event Matching Semantics

Olga Poppe, Chuan Lei, Elke A. Rundensteiner +1

Streaming applications from health care analytics to algorithmic trading deploy Kleene queries to detect and aggregate event trends. Rich event matching semantics determine how to…

cs.DB2019

Integrating Information About Entities Progressively

Ben McCamish, Christopher Buss, Arash Termehchy +1

Users often have to integrate information about entities from multiple data sources. This task is challenging as each data source may represent information about the same entity in…

cs.OH2016★ 4 cited

Improving Data Quality in Intelligent Transportation Systems

V. M. Megler, Kristin Tufte, David Maier

Intelligent Transportation Systems (ITS) use data and information technology to improve the operation of our transportation network. ITS contributes to sustainable development by u…

cs.DB2015

S-Store: Streaming Meets Transaction Processing

John Meehan, Nesime Tatbul, Stan Zdonik +10

Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. Heretofore, these two mo…