User-friendliness and performance are important properties of data mining and analysis tools. In this demo, we introduced an agent-based distributed data mining platform that allows users to manage and share the ...

Technologies that are being developed according to the needs of a particular society depend largely on the level of skills, available materials, economy, requirements and cultural traits of that society. If such technologies ...

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to ...

Knowledge management is becoming more integrated into business processes rather than as a standalone activity. Knowledge workers increasingly collaborate and share knowledge as the process proceeds to create new products ...

A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithims for mining bridging rules between clusters in a database, and then propose two non-linear ...

Many interstate organizations have a pressing need to analyze their data in multi-databases, distributed throughout their branches. Traditional multi-database mining still utilize mono-database mining techniques. This ...

This paper presents a novel algorithm for computing graph edit distance (GED) in image categorization. This algorithm is purely structural, i.e., it needs only connectivity structure of the graph and does not draw on node ...

Image classification is becoming ever more important as the amount of available multimedia data increases. With the rapid growth in the number of images, there is an increasing demand for effective and efficient image ...

Image contrast enhancement is a fundamental and important pre-processing stage in the application of image processing techniques. Among revenues of possible approaches, histogram equalization is a popular and attractive ...