The databases of real world contains a huge volume of data and among them there are
hidden piles of interesting relations that are actually very hard to find out. The knowledge …

The database of real world contains a huge volume of data and among them there are
hidden piles of interesting relations that are actually very hard to find out. The knowledge …

Genome projects are continuously revealing novel genes and the function of many of the
genes discovered previously is unknown. The clarification of the function of these genes will …

In this paper the induction of temporal grammatical rules from multivariate time series is
presented in the context of temporal data mining. This includes the use of unsupervised …

In this work a new FPGA based hardware accelerator (gNBX) for self-organizing maps is
introduced. New principles for hardware acceleration of self-organizing maps, which …

E-learning today has shown exponential growth as it provides the potential to provide right
information to the right people at right time and place, using the right medium. The atomic …

The power industry usually records equipment failures, defects and other information in the
form of text, which contains lots of regular patterns. Knowledge extraction in fault text is of …

In spite of many statistical methods for outlier detection and for robust analysis, there is little
work on further analysis of outliers themselves to determine their origins. For example, there …

This work investigates the self-organizing representation of temporal data in prototypebased
neural networks. Extensions of the supervised learning vector quantization (LVQ) and the …

Self-organizing map (SOM) and multidimensional scaling (MDS) are the methods of data
analysis that reduce dimensionality of the input data and visualize the structure of …