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    <dc:date>2026-05-30T00:48:30Z</dc:date>
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    <title>Forecasting algorithm based on automatic model fitting for varying length time series</title>
    <link>http://195.251.240.227/jspui/handle/123456789/5412</link>
    <description>Title: Forecasting algorithm based on automatic model fitting for varying length time series
Authors: Tegos, Georgios; Onkov, Kolyo
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Λογιστικής,2006</description>
    <dc:date>2006-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://195.251.240.227/jspui/handle/123456789/5432">
    <title>ΗTML-Presentation of Fishery Time Series Database and Trend Modeling for the Purpose of E-learning</title>
    <link>http://195.251.240.227/jspui/handle/123456789/5432</link>
    <description>Title: ΗTML-Presentation of Fishery Time Series Database and Trend Modeling for the Purpose of E-learning
Authors: Stoyanova, Diana; Onkov, Kolyo; Tegos, Georgios
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Λογιστικής,2004</description>
    <dc:date>2004-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://195.251.240.227/jspui/handle/123456789/5410">
    <title>Seasonality Assessment Based on Embedded Software in the PC Time Series Database for Greek Sea Fishery</title>
    <link>http://195.251.240.227/jspui/handle/123456789/5410</link>
    <description>Title: Seasonality Assessment Based on Embedded Software in the PC Time Series Database for Greek Sea Fishery
Authors: Onkov, Kolyo; Tegos, Georgios
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Λογιστικής,2006</description>
    <dc:date>2006-01-01T00:00:00Z</dc:date>
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    <title>Development and application of queries to PC fishery database of Greece for time series analysis</title>
    <link>http://195.251.240.227/jspui/handle/123456789/5409</link>
    <description>Title: Development and application of queries to PC fishery database of Greece for time series analysis
Authors: Tegos, Georgios; Onkov, Kolyo
Abstract: The end user orientation is a key factor in the development of IT in agriculture. Easy used software techniques seem to be important when relatively big amount of data are stored and analyzed. This paper presents the creation and application of simple queries to the PC based Greek Fishery Time Series database.  The obtained results can support the specialists in different fields – biology, ecology and management in planning and decision making.
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα  Λογιστικής,2007</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
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