One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

A fully distributed representation based on the binary spatter code is described. It is shown how the information of a conventional record with fields is encoded into a long random bit string, or a holistic record, that has no fields, and how the fields are extracted from the holistic record. It is argued that holistic representation should be used in modeling high-level mental functions.

Abstract—Recently, privacy preservation has become one of the most important problems in data mining and machine learning. In this paper, we propose a novel privacy-preserving Naïve Bayes classifier for fully distributed scenario where each record is only kept by unique owner. Our proposed solution based on secure multi-party computation protocol, so that it capability to securely protect owner...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...