Ladjel Bellatreche, Mukesh K. Mohania's Data Warehousing and Knowledge Discovery: 16th International PDF

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By Ladjel Bellatreche, Mukesh K. Mohania

ISBN-10: 3319101595

ISBN-13: 9783319101590

ISBN-10: 3319101609

ISBN-13: 9783319101606

This ebook constitutes the refereed court cases of the sixteenth foreign convention on info Warehousing and information Discovery, DaWaK 2014 held in Munich, Germany, September 2014, at the side of DEXA 2014. The 34 revised complete papers and eight brief papers awarded have been conscientiously reviewed and chosen from 109 submissions. The papers are prepared in topical sections on modeling and ETL; ontology-based facts warehouses; complicated facts warehouses and OLAP; uncertainty; personal tastes and advice; question functionality and HPC; dice & OLAP; optimization; class; social networks and advice structures; wisdom info discovery; commercial functions; mining and processing information move; mining and similarity.

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Adaptability: the degree to which ETL process can effectively and efficiently be adapted for different operational or usage environments. It includes: (a) scalability: the ability of the ETL process to handle a growing demand, regarding both the size and complexity of input data and the number of concurrent process users. , by automatically switching endpoints). M1: # of precedence dependences between activities [13] (−) (c) reusability: the degree to which components of the ETL process can be used for operations of other processes.

The approach is exemplified through a real scenario of the Brazilian electrical system, supporting the joint exploration of electrical disturbances data and their possible repercussion on the news. Keywords: Business Intelligence, Multidimensional Design, Conceptual Modelling, Foundational Ontologies. 1 Introduction The MD design task is a fundamental core phase in the Data Warehousing (DW) lifecycle [6] and BI solutions, requiring an engineering process to capture semantics from business entities and their relations.

1471–1472. IEEE (2007) 11. : Schema versioning and database conversion techniques for bi-temporal databases. Annals of Mathematics and Artificial Intelligence 30(1-4), 23–52 (2000) 12. : Metadata management in a multiversion data warehouse. , et al. ) Journal on Data Semantics VIII. LNCS, vol. 4380, pp. 118–157. Springer, Heidelberg (2007) 13. : Managing and querying versions of multiversion data warehouse. , et al. ) EDBT 2006. LNCS, vol. 3896, pp. 1121– 1124. br Abstract. The choice on information representation is extremely important to fulfil analysis requirements, making the modelling task fundamental in the Business Intelligence (BI) lifecycle.

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Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings by Ladjel Bellatreche, Mukesh K. Mohania


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