In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data. In this paper we introduce the Cube Presentation Model (CPM), a ...
Andreas S. Maniatis, Panos Vassiliadis, Spiros Ski...
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...