In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Sensemaking tasks require users to perform complex research behaviors to gather and comprehend information from many sources. Such tasks are common and include, for example, resea...
Abstract. Transactional memory (TM) promises to simplify construction of parallel applications by allowing programmers to reason about interactions between concurrently executing c...
Haris Volos, Adam Welc, Ali-Reza Adl-Tabatabai, Ta...