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Table 1. Comparison of conceptual multidimensional models.

in Designing Data Warehouses with OO Conceptual Models
by Juan Trujillo, Jaime Gomez, De Alicante, Il-yeol Song 2001
"... In PAGE 3: ... These models include the Dimensional- Fact (DF) model by Matteo Golfarelli and colleagues,5 the Multidimensional/Entity-Relationship (M/ER) model by Carsten Sapia and colleagues,10,11 and the StarEr model by Nectaria Tryfona and colleagues.7 Table1 shows the multidimensional properties of these three types of conceptual models. Only the StarEr model considers the many-to-many relation- ships between facts and particular dimensions by indi- cating the exact cardinality between them.... ..."
Cited by 20

Table 1. Comparison of conceptual multidimensional models.

in Designing Data Warehouses with OO Conceptual Models
by Juan Trujillo, Jaime Gomez, De Alicante, Il-yeol Song 2001
"... In PAGE 3: ... These models include the Dimensional- Fact (DF) model by Matteo Golfarelli and colleagues,5 the Multidimensional/Entity-Relationship (M/ER) model by Carsten Sapia and colleagues,10,11 and the StarEr model by Nectaria Tryfona and colleagues.7 Table1 shows the multidimensional properties of these three types of conceptual models. Only the StarEr model considers the many-to-many relation- ships between facts and particular dimensions by indi- cating the exact cardinality between them.... ..."
Cited by 20

Table 1: Comparison of conceptual multidimensional models

in Applying UML and XML for Designing and Interchanging Information for Data Warehouses and OLAP Applications
by Juan Trujillo, Sergio Luján-mora, Il-yeol Song 2004
"... In PAGE 7: .... In Table1 , we provide the coverage degree of each above-mentioned conceptual model regarding the main MD properties described in the previous section. To start with, to the best of our knowledge, no proposal provides a grouping mechanism to avoid flat diagrams and to simplify the conceptual design when a system becomes complex due to a high number of dimensions and facts sharing dimensions and their corresponding hierarchies.... In PAGE 8: ... On the other hand, only the M/ER model provides a framework for an automatic generation of the database schema into a target commercial OLAP tool (particularly into Informix Metacube and Cognos Powerplay). Finally, none of the proposals from Table1 provide a mechanism to facilitate the interchange of the models following standard representations. Regarding MD modeling and the eXtensible Markup Language (XML) (W3C, 2000), some proposals have been presented.... In PAGE 8: ... However, these approaches focus on the presentation of the multidimensional XML data rather than on the presentation of the structure of the multidimensional conceptual model itself. From Table1 , one may conclude that none of the current conceptual modeling approaches consider all MD properties at both the structural and dynamic levels. Therefore, we claim that a standard conceptual model is needed to consider all MD modeling properties at both the structural and dynamic levels.... ..."
Cited by 4

Table 4: Multi-Dimensional Resource Models

in A Taxonomy for Multi-Period Resource Allocation Problems at System Edges (MPRASE Taxonomy)
by Heckmann, Jens Schmitt
"... In PAGE 7: ... This will typically be a negative term (= profit per accepted customer). Non-Existent - Existent C Table 5: Cost Model Elements Table4 : Multi-Dimensional Resource Models... ..."

Table 2: Difierences between the multidimensional models of Figure 7 and Figure 8. Models for the analysis of accidents

in unknown title
by unknown authors 2004
Cited by 7

Table I: A Multi-Dimensional Statistical Model of

in Getting at Discourse Referents
by Rebecca J. Passonneau

Table 1: Summary table of the di erent elements found in a multidimensional model

in Understanding Facts in a Multidimensional Object-Oriented Model
by Alberto Abelló, José Samos, Felix Saltor 2001
Cited by 4

Table 5. Comparison between YAM2 and other models In [BSHD98], a list of requirements for a multidimensional model in order to be suitable for OLAP were derived from general design principles, and from

in YAM (Yet Another Multidimensional Model): An extension of UML
by Alberto Abello, Jose Samos, Felix Saltor

Table 6 Results of O1, O2, O3, and Exploratory Factor Analysis for Balanced and Unbalanced Clusters Simulated Using the Multidimensional Two-Parameter Logistic Model

in unknown title
by unknown authors
"... In PAGE 17: ... Results. Table6 presents the M2-PLM results for O1, O2, O3, and EFA. For EFA, the obtained estimated correlations between the two factors, the obtained partitioning according to the two-factor solution, three t measures 2p values RMSR lt; .... In PAGE 17: ...2p values RMSR lt; .05 y and gt; :05 or RMSEA gt; .06 z are given. In general, O1 and O2 yielded the true dimensionality more often for the M2-PLM data than for the mixture model data (see Table6 ). In particular, for moderate discrimination, AS3, and r = :7, the obtained differences are noteworthy.... In PAGE 17: ... As expected, the O1, O2, and O3 values increased as the Distribu- tion of Dif culty increased. EFA generally yielded the same dimensionality solutions as O1 and O2 (see Table6 ). The Pro- max rotated two-factor model did not t well for r = :7, AS3, N = 200, and unbalanced data.... ..."

Table 5. Multi-Dimensional Parametriza- tion of Treebank Grammars (Head-Driven Models are Marked h 6 = 1): F 40; FALL Accuracy Results on Section 0.

in Accurate Unlexicalized Parsing for Modern Hebrew
by Reut Tsarfaty
"... In PAGE 6: ... We set our baseline model at the (0; 0; 0) point of the coordinate-system and com- pared its performance to a simple treebank PCFG and to di erent combinations of parameters. Table5 shows the accuracy results for parsing section 0 for all models. The rst outcome of our experiments is that our head-driven baseline performs slightly better than a vanilla treebank PCFG.... ..."
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