Concept drift in process mining (PM) is a challenge as classical methods assume processes
are in a steady-state, ie, events share the same process version. We conducted a systematic …

Outlier detection has been a topic in statistics for centuries. Over mainly the last two
decades, there has been also an increasing interest in the database and data mining …

Twitter has become one of the largest microblogging platforms for users around the world to
share anything happening around them with friends and beyond. A bursty topic in Twitter is …

We present a method for reducing errors---variance and bias---in physically based
differentiable rendering (PBDR). Typical applications of PBDR repeatedly render a scene as …

Spatial event forecasting from social media is an important problem but encounters critical
challenges, such as dynamic patterns of features (keywords) and geographic heterogeneity …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Microblog is a popular and open platform for discovering and sharing the latest news about
social issues and daily life. The quickly-updated microblog streams make it urgent to …

In this paper, we formally define the problem of representing and leveraging abstract event
causality to power downstream applications. We propose a novel solution to this problem …

Modern cities are facing critical environmental and social problems that are difficult to solve
using conventional planning approaches due to the cities' magnitude and complexity …

This paper documents the release of the ELKI data mining framework, version 0.7. 5. ELKI is
an open source (AGPLv3) data mining software written in Java. The focus of ELKI is …