The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Information distance from a question to an answer
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Information shared by many objects
Proceedings of the 17th ACM conference on Information and knowledge management
New information distance measure and its application in question answering system
Journal of Computer Science and Technology
A Fast Quartet tree heuristic for hierarchical clustering
Pattern Recognition
Information distance and its extensions
DS'11 Proceedings of the 14th international conference on Discovery science
Information distance and its applications
CIAA'06 Proceedings of the 11th international conference on Implementation and Application of Automata
ACM Computing Surveys (CSUR)
Classifying stem cell differentiation images by information distance
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Hi-index | 0.00 |
Fetal heart rate (FHR) monitoring is widely used regarding the detection of fetuses in danger of death or damage. Thirty one FHR tracings acquired in the antepartum period were clustered by compression in order to identify abnormal ones. A recently introduced approach based on algorithmic information theory was used. The new method can mine patterns in completely different areas, without domain-specific parameters to set, and does not require specific background knowledge. At the highest level the FHR tracings were clustered according to an unanticipated feature, namely the technology used in signal acquisition. At the lower levels all tracings with abnormal or suspicious patterns were clustered together, independently of the technology used.