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Wyszukujesz frazę "sequential data" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Formal model of time point-based sequential data for OLAP-like analysis
Autorzy:
Bębel, B.
Morzy, T.
Królikowski, Z.
Wrembel, R.
Powiązania:
https://bibliotekanauki.pl/articles/200403.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
OLAP
sequential data
formal model
Opis:
Numerous nowadays applications generate huge sets of data, whose natural feature is order, e.g,. sensor installations, RFID devices, workflow systems, Website monitors, health care applications. By analyzing the data and their order dependencies one can acquire new knowledge. However, nowadays commercial BI technologies and research prototypes allow to analyze mostly set oriented data, neglecting their order (sequential) dependencies. Few approaches to analyzing data of sequential nature have been proposed so far and all of them lack a comprehensive data model being able to represent and analyze sequential dependencies. In this paper, we propose a formal model for time point-based sequential data. The main elements of this model include an event and a sequence of events. Measures are associated with events and sequences. Measures are analyzed in the context set up by dimensions in an OLAP-like manner by means of the set of operations. The operations in our model are categorized as: operations on sequences, on dimensions, general operations, and analytical functions.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 2; 331-340
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How to improve efficiency of analysis of sequential data?
Autorzy:
Andrzejewski, W.
Królikowski, Z.
Morzy, T.
Powiązania:
https://bibliotekanauki.pl/articles/970825.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
sequential data
indexing
market basket analysis
Opis:
Many of todays database applications, including market basket analysis, web log analysis, DNA and protein sequence analysis utilize databases to store and retrieve sequential data. Commercial database management systems allow to store sequential data, but they do not support efficient querying of such data. To increase the efficiency of analysis of sequential data new index structures need to be developed. In this paper we propose an indexing scheme for non-timestamped sequences of sets, which supports set subsequence queries. Our contribution is threefold. First, we describe the index logical and physical structure, second, we provide algorithms for set subsequence queries utilizing this structure, and finally we perform experimental evaluation of the index, which proves its feasibility and advantages in set subsequence query processing.
Źródło:
Control and Cybernetics; 2009, 38, 1; 107-126
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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