Filtering out Infrequent Behavior from Business Process Event Logs

Filtering out Infrequent Behavior from Business Process Event Logs

Abstract In the era of “big data” one of the key challenges is to analyze large amounts of data collected in meaningful and scalable ways. The field of process mining is concerned with the analysis of data that is of a particular nature, namely data that results from the execution of business processes. The analysis […]

Dynamic Facet Ordering for Faceted Product Search Engines

Dynamic Facet Ordering for Faceted Product Search Engines

Abstract: Faceted browsing is widely used in Web shops and product comparison sites. In these cases, a fixed ordered list of facets is often employed. This approach suffers from two main issues. First, one needs to invest a significant amount of time to devise an effective list. Second, with a fixed list of facets, it […]

Continuous Top-k Monitoring on Document Streams

Continuous Top-k Monitoring on Document Streams

Abstract The efficient processing of document streams plays an important role in many information filtering systems. Emerging applications, such as news update filtering and social network notifications, demand presenting end-users with the most relevant content to their preferences. In this work, user preferences are indicated by a set of keywords. A central server monitors the […]

Privacy-Preserving Selective Aggregation of Online User Behavior Data

Privacy-Preserving Selective Aggregation of Online User Behavior Data

Abstract: Tons of online user behavior data are being generated every day on the booming and ubiquitous Internet. Growing efforts have been devoted to mining the abundant behavior data to extract valuable information for research purposes or business interests. However, online users’ privacy is thus under the risk of being exposed to third-parties. The last […]