Yeow Wei Choong

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Multidimensional databases have been designed to provide decision makers with the necessary tools to help them understand their data. This framework is different from transactional data as the datasets contain huge volumes of historicized and aggregated data defined over a set of dimensions that can be arranged through multiple levels of granularities. Many(More)
On-Line Analytical Processing (OLAP) provides an interactive query-driven analysis of multidimensional data based on a set of navigational operators like roll-up or slice and dice. In most cases, the analyst is expected to use these operations intuitively to find interesting patterns in a huge amount of data of high dimensionality.In this paper, we propose(More)
An OLAP analysis can be defined as an interactive session during which an user launches queries over a data warehouse. The launched queries are often interdependent, and they can be either newly defined queries or they can be existing ones that are browsed and reused. Moreover, in a collaborative environment, queries may be shared among users. This notion(More)
Cloud computing provides access to "infinite" storage and computing resources, offering promising perspectives for many applications, particularly e-learning. However, this new paradigm requires rethinking of database management principles in order to allow deployment on scalable, easy to access infrastructures, applying a pay-as-you-go model in which(More)
In this paper, we address the issue of mining gradual classification rules. In general, gradual patterns refer to regularities such as ``The older a person, the higher his salary''. Such patterns are extensively and successfully used in command-based systems, especially in fuzzy command applications. However, in such applications, gradual patterns are(More)