Data association is one of the fundamental problems in multi-sensor systems. Most current techniques rely on pairwise data associations which can be spurious even after the employment of outlier rejection schemes. Considering multiple pairwise associations at once significantly increases accuracy and leads to consistency. In this work, we propose two fully decentralized methods for consistent g...

Association Rule Mining(ARM) is now a well establish data mining tool. In this short paper a review of the wider application of ARM, beyond the processing of simple tabular datasets, is presented concentrating on its application to Text, Image and Graph Mining.

An old and fundamental problem in databases and data streams is that of finding the heavy hitters, also known as the top-k, most popular items, frequent items, elephants, or iceberg queries. There are several variants of this problem, which quantify what it means for an item to be frequent, including what are known as the l1-heavy hitters and l2-heavy hitters. There are a number of algorithmic ...