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For modern industry, data generated by machines and devices, product lifecycle management (PLM) solutions, production planning systems or quality and inventory management systems has reached a volume of more than a thousand Exabyte annually and is expected to increase in the next years. This has led to the need of “Big Data” which originally referred to the huge flood of data, has extended the scope...
A decisional process is usually held by one or more expert users having different viewpoints. That is, they manipulate several knowledge and know-how with different objectives, preferences, competencies, and different visions on the data warehouse entities. In this paper, we propose to establish coordination and knowledge sharing between users of a decisional process based on the Common Warehouse...
A packed bed for solar energy storage in the form of sensible heat has been investigated using two-phase continuous model. The system contains Quartzite as the filler material and Palm oil as the heat transfer fluid. The aim of this work is to propose an eco-friendly storage system which uses natural concrete and certified sustainable oil for medium temperature thermal storage. Using the developed...
Virtual enterprise integration and interoperability between its different information systems are the first systemic paradigms to achieve a successful collaborative product development. In such a context, the information flow has a centric place. Therefore, our aim in this paper is to propose a new ontology-based framework, exploiting the expressiveness of ontologies to ensure collaboration and semantic...
Feature selection is not only a key to handle the high dimensionality phenomenon caused by the vector space model representation, but mainly an efficient technique to reduce the noise generated by the irrelevant and redundant terms. However, in order to effectively capture the most important features, both the semantic and the statistical information within the feature space should be taken into account...
The key to successful integration and interoperability between applications and software products depends on the intelligent use and management of metadata. This can be accomplished by the use of the CWM standard which provides a mechanism for exchanging metadata in the data warehousing and business intelligence domain. As for, it is known that the development and maintenance of information systems...
Knowing that not all the features in a dataset are important since some are redundant or irrelevant, the use of feature selection, an effective dimensionality reduction technique, is essential for web document clustering. For the clustering process, it represents the task of selecting important features for the underlying clusters. Therefore in order to pilot the web document clustering process, we...
The key to successful integration and interoperability between applications and software products depends on the intelligent use and management of metadata. This can be accomplished by the use of the CWM standard which provides a mechanism for exchanging metadata in the data warehousing and business intelligence domain. As for, it is known that the development and maintenance of information systems...
A data mining project is usually held by several actors (domain experts, data analysts, KDD experts …), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a...
In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst's perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of...
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