By Piotr Andruszkiewicz (auth.), Tadeusz Morzy, Theo Härder, Robert Wrembel (eds.)
This quantity is the second of the sixteenth East-European convention on Advances in Databases and knowledge structures (ADBIS 2012), hung on September 18-21, 2012, in Poznań, Poland. the 1st one has been released within the LNCS sequence.
This quantity comprises 27 study contributions, chosen out of ninety. The contributions hide a large spectrum of themes within the database and data structures box, together with: database starting place and idea, information modeling and database layout, enterprise approach modeling, question optimization in relational and item databases, materialized view choice algorithms, index info constructions, dispensed platforms, approach and knowledge integration, semi-structured info and databases, semantic facts administration, details retrieval, information mining concepts, info circulation processing, belief and recognition within the web, and social networks. therefore, the content material of this quantity covers the learn components from basics of databases, via nonetheless sizzling subject study difficulties (e.g., info mining, XML facts processing), to novel learn components (e.g., social networks, belief and popularity, and knowledge movement processing). The editors of this quantity think that its content material will encourage the researchers with new principles for destiny improvement. it will probably additionally function an summary of the continued paintings within the box of databases and data systems.
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1’ in the Issuing association with the BookRequest class (incorrect multiplicity is the consequence of the source model simplification). Towards the Automated Business Model-Driven Conceptual Database Design 41 Fig. 5 Automatically generated CDM based on sample business model Since the source business model is very simplified and does not cover the whole business system, the automatically generated CDM is not representative enough for an objective quantitative evaluation of the approach, particularly for the estimation of the recall measure (percentage of all concepts in the target CDM that are automatically generated).
A very high precision of the implemented generator (above 90%) confirms the previously obtained results [3]. Table 1 Quantitative evaluation based on sample CDM Metrics Concepts Precision [%] Ngenerated Ncorrect Nincorrect Nsurplus Classes 10 10 0 0 100 Associations 17 16 1 1 94 42 D. Brdjanin and S. Maric 5 Conclusion In this paper we have presented an approach to the automated CDM design, that is based on UML business model containing a finite set of DADs representing the business processes of the whole enterprise.
Example. Consider 2-dimensional sample data presented in Fig. 1. For each data point, star neighborhood is created (Fig. g. {A9,C11, B6,C8} for point A9, and then sorted with respect to the spatial feature and instance id. The final set {A9, B6,C8,C11} constitutes an ordered neighbor relationship between the objects. Step 2. Generate the iCPI-tree of the set of spatial ordered neighbor relationships - from the set of ordered spatial neighbor relationships, the iCPI-tree is iteratively created. Example.