Advances in Databases and Information Systems: 16th East by Leonardo Andrade Ribeiro, Theo Härder (auth.), Tadeusz

By Leonardo Andrade Ribeiro, Theo Härder (auth.), Tadeusz Morzy, Theo Härder, Robert Wrembel (eds.)

This ebook constitutes the completely refereed court cases of the sixteenth East-European convention on Advances in Databases and data structures (ADBIS 2012), held in Poznan, Poland, in September 2012. The 32 revised complete papers provided have been rigorously chosen and reviewed from 122 submissions. The papers disguise a large spectrum of concerns about the zone of database and data platforms, together with database idea, database architectures, question languages, question processing and optimization, layout equipment, info integration, view choice, nearest-neighbor looking, analytical question processing, indexing and caching, concurrency keep an eye on, disbursed platforms, facts mining, information streams, ontology engineering, social networks, multi-agent platforms, enterprise approach modeling, wisdom administration, and application-oriented subject matters like RFID, XML, and knowledge at the Web.

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Extra info for Advances in Databases and Information Systems: 16th East European Conference, ADBIS 2012, Poznań, Poland, September 18-21, 2012. Proceedings

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Inverted indices can also be joined to be able to evaluate queries with patterns longer then a given m [1, 15]. A working system utilizing inverted indices was presented in [16]. Another proposition is to use suffix trees and reversed suffix trees to find a given sequence in web logs [17]. The solution, however, does not support pattern queries. 3 Definitions Let I be the set of items. We assume that there is a total order imposed upon the items. Any ordered list of items S = (s1 , s2 , . . , sn ), ∀si : si ∈ I is called a sequence.

G. g. g. market basket analysis). The findings may be then applied in real business. g. spreadsheets, XML and flat files, databases, legacy systems), then data is cleaned, integrated, augmented with summaries and stored in large databases called data warehouses. Multidimensional character and high interaction with analysts are two distinctive features of OLAP analysis. OLAP multidimensional data model comprises of two types of elements, namely facts and dimensions. Facts, which reflect some real world’s events, are being subject of analysis, and are quantified by features called measures.

First, for each item we have estimated the probability that it is a first item in the sequence. Next, for each item pair, we have estimated conditional probabilities showing what is the probability of one item appearing if the second item appeared in the sequence previously, thereby forming a Markov chain. Based on this information we have generated sequences in the sythetic datasets in the following way. First, a sequence length was randomly determined using the Poisson distribution random number generator (as suggested in [1]).

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