4 citations · 5 across the 3 of their papers we have counts for
7 papers
One-Shot Learning on Attributed Sequences
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2
One-shot learning has become an important research topic in the last decade with many real-world applications. The goal of one-shot learning is to classify unlabeled instances when…
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams
Olga Poppe, Chuan Lei, Lei Ma +2
Complex event processing (CEP) systems continuously evaluate large workloads of pattern queries under tight time constraints. Event trend aggregation queries with Kleene patterns a…
MLAS: Metric Learning on Attributed Sequences
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2
Distance metric learning has attracted much attention in recent years, where the goal is to learn a distance metric based on user feedback. Conventional approaches to metric learni…
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…
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…
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…