We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
This workshop aims to gather researchers in the field of user interface design tools to identify important themes for the next decade of research. These tools aid in the design an...
This tutorial presents an overview of the data management issues faced by computer games today. While many games do not use databases directly, they still have to process large am...
Alan J. Demers, Johannes Gehrke, Christoph Koch, B...
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...