We define the partial weighted set cover problem, a generic combinatorial optimization problem, that includes some classical data mining problems as special cases. We prove that it is computationally intractable and give a local search algorithm for this problem. As application examples, we then show how to translate clustering and outlier detection problems into this generic problem. Our exper...

Outlier detection over data streams has attracted attention for many emerging applications, such as network intrusion detection, web click stream and aircraft health anomaly detection. Since the data stream is likely to change over time, it is important to be able to modify the outlier detection model appropriately with the evolution of the stream. Most existing approaches were using incrementa...

hepatitis b (hb) disease occurs with high risk behaviors in the different communities. aim of this study was to find out some of local customs in lifestyle that might be risk factors for transmitting this disease in order to design the educational programs and control it periodically in chaharmahal va bakhtiari, iran. this was a case-control study, carried out on patients with hb and the contro...

Many well-established anomaly detection methods use the distance of a sample to those in its local neighbourhood: so-called `local outlier methods', such as LOF and DBSCAN. They are popular for their simple principles strong performance on unstructured, feature-based data that is commonplace many practical applications. However, they cannot learn adapt particular set due lack trainable paramete...