Download Advances in Case-Based Reasoning: Second European Workshop, by Eva Armengol, Enric Plaza (auth.), Jean-Paul Haton, Mark PDF
By Eva Armengol, Enric Plaza (auth.), Jean-Paul Haton, Mark Keane, Michel Manago (eds.)
This e-book offers a range of revised refereed papers taken from the contributions to the second one eu Workshop on Case-Based Reasoning, EWCBR-94, held on the Abbaye de Royaumont close to Paris in November 1994. The 22 papers incorporated have been selected from a complete of 60 submissions. the real evolution through skilled man made intelligence over the last few years has been primarily encouraged by way of case-based reasoning, fairly through the realm of knowledge-based choice aid. This booklet records the development completed in CBR equipment and instruments throughout the very fresh prior. It additionally outlines the significant good fortune completed within the functions area, specifically within the fields of structure and computer-aided layout, activity making plans, chemical synthesis, upkeep and prognosis, and law.
Read Online or Download Advances in Case-Based Reasoning: Second European Workshop, EWCBR-94 Chantilly, France, November 7–10, 1994 Selected Papers PDF
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Extra info for Advances in Case-Based Reasoning: Second European Workshop, EWCBR-94 Chantilly, France, November 7–10, 1994 Selected Papers
G. jumping, rollingUp and drillingDown) are defined in a very elegant manner. 1 Introduction Data warehouses and OLAP are essential elements of decision support , they enable business decision makers to creatively approach, analyze and understand business problems . While data warehouses are built to store very large amounts of integrated data used to assist the decision-making process , OLAP, which is first formulated in 1993 by , is a technology that processes data from a data warehouse into multidimensional structures to provide rapid response to complex analytical queries.
Section 2 contains a description of the goals of this approach. Section 3 gives a short overview of Markowitz’s portfolio theory, which is the basis for the adaptation, described in section 4. In section 5 we apply the approach to “conventional” data warehouses. The integration of prognosis data is discussed in section 6 and followed by an investigation of the general limitations of this approach (section 7). The paper concludes with section 8 (related works) and section 9, where we give a summary and conclusion of this work.
Tjoa, and R. Wagner 4 Conclusion and Future Works In this paper, we have introduced the conceptual multidimensional data model, which facilitates even sophisticated constructs based on multidimensional data elements such as dimension elements, measure data values and then cells. e. dimensions, measures, and metacubes. Based on these concepts, the data model is able to represent and capture natural hierarchical relationships among dimension members. Therefore, dimensions with complexity of their structures, such as: unbalanced and multihierarchical structures , can be modeled in an elegant and consistent way.