Search results for "Warehouse"
showing 10 items of 362 documents
Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field
2006
Data mining as an applied research field is still causing great expectations among organizations which want to raise the utility they are getting from their huge databases and data warehouses. There exist too few success stories about organizations having managed to satisfy even some of those expectations. This situation is very similar to the one inside the information systems (IS) field, especially earlier but even currently. The recent lively debate about the identity of the IS discipline included also the analysis concerning the customers of IS research. Inspired by IS researchers' insights related to the topic, we ask the question "who is our customer?" as data mining researchers. With…
Towards Introducing User Preferences in OLAP Reporting Tool
2012
This paper presents an OLAP reporting tool and an approach for determining and processing user OLAP preferences, which are useful for generating recommendations on potentially interesting reports. We discuss the metadata layers of the reporting tool including our proposed OLAP preferences metamodel, which supports various scenarios of formulating preferences of two different types: schema-specific and report-specific. The process of semantic metadata usage at the stage of formulating user preferences is also considered. The methods for processing schema-specific and report-specific OLAP preferences are outlined.
Mimicking Spatial Aesthetics: the Kunsthalle-effect on Young British Artists
2018
This chapter argues that UK artists at the end of the 20th century were confronted with the utter absence of Kunsthalle-like spaces in their country, but they set forth to independently organise such exhibition venues and to produce artworks or installations that would fit in there, in order to speak a global language.
Semantic-based Merging of RSS Items
2009
Merging XML documents can be of key importance in several applications. For instance, merging the RSS news from same or different sources and providers can be beneficial for end-users in various scenarios. In this paper, we address this issue and explore the relatedness measure between RSS elements. We show here how to define and compute exclusive relations between any two elements and provide several predefined merging operators that can be extended and adapted to human needs. We also provide a set of experiments conducted to validate our approach. © Springer Science+Business Media, LLC 2009.
Relating RSS News/Items
2009
Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items. © 2009 Springer Berlin Heidelberg.
The Hierarchical Agglomerative Clustering with Gower index: a methodology for automatic design of OLAP cube in ecological data processing context
2015
In Press, Corrected Proof; International audience; The OLAP systems can be an improvement for ecological studies. In fact, ecology studies, follows and analyzes phenomenon across space and time and according to several parameters. OLAP systems can provide to ecologists browsing in a large dataset. One focus of the current research on OLAP system is the automatic design of OLAP cubes and of data warehouse schemas. This kind of works makes accessible OLAP technology to non information technology experts. But to be efficient, the automatic OLAP building must take into account various cases. Moreover the OLAP technology is based on the concept of hierarchy. Thereby the hierarchical clustering m…
Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering
2015
20 pages; International audience; Data warehouses (DW) and OLAP systems are business intelligence technologies allowing the on-line analysis of huge volume of data according to users' needs. The success of DW projects essentially depends on the design phase where functional requirements meet data sources (mixed design methodology) (Phipps and Davis, 2002). However, when dealing with complex applications existing design methodologies seem inefficient since decision-makers define functional requirements that cannot be deduced from data sources (data driven approach) and/or they have not sufficient application domain knowledge (user driven approach) (Sautot et al., 2014b). Therefore, in this p…
Une méthodologie et un outil pour le prototypage rapide des entrepôts de données en utilisant le data mining : application à la biodiversité des oise…
2014
International audience; Data Warehouses (DWs) are large repositories of data aimed at supporting the decision-making process by enabling flexible and interactive analyses via OLAP systems. Rapid prototyping of DWs is necessary when OLAP applications are complex. Some work about the integration of Data Mining and OLAP systems has been done to enhance OLAP operators with mined indicators, and/or to define the DW schema. However, to best of our knowledge, prototyping methods for DWs do not support this kind of integration. Then, in this paper we present a new prototyping methodology for DWs, extending [3], where DM methods are used to define the DW schema. We validate our approach on a real da…
Environmental spillovers and their impacts on housing prices: A spatial hedonic analysis
2015
This paper investigates the spatial dimension of environmental factors on housing prices. We develop spatial hedonic models to estimate the implicit prices of various environmental attributes. The spatial dimension can be interpreted in terms of local or global spillovers. We conduct an empirical study in the Loire estuary (France). We focus on natural areas and more artificialized ones (ocean frontage, wetlands, rivers, and noisy roads). We show that, depending on the spatial model used, the implicit price is more than just the estimated coefficient value and combines both a feedback effect and a propagation effect.
Fractal dimension versus density of built-up surfaces in the periphery of Brussels
2007
International audience; This paper aims at showing the usefulness of the fractal dimension for characterizing the spatial structure of the built-up surfaces within the periurban fringe. We first discuss our methodology and expectations in terms of operationality of the fractal dimension theoretically and geometrically. An empirical analysis is then performed on the southern periphery of Brussels (Brabant Wallon). The empirical analysis is divided into two parts: first, the effect of the size and shape of the windows on the fractal measures is empirically evaluated; this leads to a methodological discussion about the importance of the scale of analysis as well as the real sense of fractality…