Download PDF by João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado: Data Warehousing and Knowledge Discovery: 13th International

By João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado (auth.), Alfredo Cuzzocrea, Umeshwar Dayal (eds.)

ISBN-10: 3642235441

ISBN-13: 9783642235443

This e-book constitutes the refereed court cases of the thirteenth overseas convention on information Warehousing and data Discovery, DaWak 2011 held in Toulouse, France in August/September 2011.

The 37 revised complete papers provided have been rigorously reviewed and chosen from 119 submissions. The papers are geared up in topical sections on actual and conceptual facts warehouse types, information warehousing layout methodologies and instruments, facts warehouse functionality and optimization, development mining, matrix-based mining innovations and movement, sensor and time-series mining.

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This publication constitutes the refereed court cases of the thirteenth overseas convention on info Warehousing and information Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised complete papers provided have been rigorously reviewed and chosen from 119 submissions. The papers are geared up in topical sections on actual and conceptual facts warehouse types, information warehousing layout methodologies and instruments, info warehouse functionality and optimization, development mining, matrix-based mining options and circulate, sensor and time-series mining.

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I →i fj ∧. . tgt ∧ fj ∈ F ∧ ev = f (F, O[Cat ], tgt, j)} The Planning OLAP Model - A Multidimensional Model 23 In essence the forecast operator produces l new facts, which are mapped to an ordered set of dimension values such that the new facts are mapped to the l successors of the last dimension value from the existing facts. Furthermore, for a given (measure) dimension each new fact is mapped to its projected new value according to the prediction of the forecasting algorithm. 2 Expressing Typical Planning Functions The following section lists typical planning functions that are necessary to support planning applications.

The here proposed enhancements enable the creation of more complex MDDs by dealing with date/time hierarchies, many-to-many relationships, HSD, coverage facts and perspective analysis. To achieve that purpose, notation elements were introduced and the step 5 of the generation algorithm was rebuilt, now particularly objective and detailed in contrast with the original one. The enhanced DTA has been applied to a real world case study, the SAD-IES project. Throughout this paper several references are made to it to better contextualise the proposed improvements.

Section 2 reviews existing work in spatial data warehousing and provides a case study in the form of a Product Sales data cube that is used in the rest of the paper. Section 3 presents the regH concept, which is a region-hierarchy specification to help incorporate complex structured spatial objects in data warehouses for performing analysis. Section 4 presents the C 3 constructs for spatial data cube definition and construction. Section 5 presents new OLAP formulations such as geo construct, slice and dice, and discusses spatial topological relations among complex regions using the poset structures.

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Data Warehousing and Knowledge Discovery: 13th International Conference, DaWaK 2011, Toulouse, France, August 29-September 2,2011. Proceedings by João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado (auth.), Alfredo Cuzzocrea, Umeshwar Dayal (eds.)


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