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

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 overseas convention on information Warehousing and data Discovery, DaWaK 2014 held in Munich, Germany, September 2014, along side DEXA 2014. The 34 revised complete papers and eight brief papers provided have been conscientiously reviewed and chosen from 109 submissions. The papers are prepared in topical sections on modeling and ETL; ontology-based information warehouses; complicated info warehouses and OLAP; uncertainty; personal tastes and suggestion; question functionality and HPC; dice & OLAP; optimization; type; social networks and suggestion platforms; wisdom facts discovery; commercial purposes; mining and processing information flow; mining and similarity.

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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. , transformation or mapping operations) of the ETL process: M3: % of reused low level operations in the ETL process [12] (+) M4: Average of how many times low level operations in the ETL process have been reused per specified time frame [12] (+) 2.

N, is defined over domain Tk and attribute name Ak is unique in Lj . Level All ∈ Di does not have any attribute. Aggregation relation R is a partial order binary relation on L ∈ Di , i = 1, . . , n, and contains ordered pairs of form Lp , Lq , where Lp and Lq are levels belonging to L. R∗ denotes the transitive closure of R such that if L1 , L2 and L2 , L3 also belong to R, then L1 , L3 belongs to R∗ . Any level Lj ∈ L is, directly or transitively, reachable in R∗ from the base level and any level Lj ∈ L reaches in R∗ , directly or transitively, top level All.

Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a logical model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse. 1 Introduction A data warehouse (DW) is a repository of historical, subject-oriented, and heterogeneous data that is integrated from external data sources (EDSs).

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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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