Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …

Analytics over big graphs is becoming a first-class challenge in database research, with fast-
growing interest from both the academia and the industrial community. This problem arises …

Intrusive multi-step attacks, such as Advanced Persistent Threat (APT) attacks, have plagued
enterprises with significant financial losses and are the top reason for enterprises to …

Currently, there is a" boom" in introductory programming courses to help students develop
their computational thinking skills. Providing timely, personalized feedback that makes …

Secure data aggregation schemes are widely adopted in wireless sensor networks, not only
to minimize the energy and bandwidth consumption, but also to enhance the security …

Subgraph querying in a large data graph is interesting for different applications. A recent
study shows that top-k diversified results are useful since the number of matching subgraphs …

Given a graph query Q posed on a knowledge graph G, top-k graph querying is to find k
matches in G with the highest ranking score according to a ranking function. Fast top-k …

Graphs are widely used to model complex data in many applications, such as bioinformatics,
chemistry, social networks, pattern recognition. A fundamental and critical query primitive is …

We investigate the enumeration of top-k answers for conjunctive queries against relational
databases according to a given ranking function. The task is to design data structures and …

In the real world, various systems can be modeled using entity-relationship graphs. Given
such a graph, one may be interested in identifying suspicious or anomalous subgraphs …