نتایج جستجو برای: temporal dimensions

تعداد نتایج: 393130  

Journal: :Environment and Planning A: Economy and Space 2015

2001
Johann Eder Christian Koncilia Tadeusz Morzy

Data warehouses are a primary means for a consolidated view on the data within an enterprise and frequently a rst step in integrating enterprise information systems. Above all, data warehouses are used for analyzing enterprise data online, giving the possibility to aggregate and compare data along dimensions relevant in the application domain. Typically time is one of the dimensions we nd in da...

Precipitation is a climatic elements that have temporal - spatial distribution. In this research database of Global Precipitation Climatology Centre (GPCC) with a resolution 0.5×0.5 degree for 50 year is used, that was constituted with dimensions of 12800*600. Temporal data are on the columns and pixels (spatial data) located on the rows. The results show an increasing trend in spring and fall ...

1999
Simonas Šaltenis Christian S. Jensen Michael H. Böhlen Curtis E. Dyreson Heidi Gregersen Dieter Pfoser Janne Skyt Giedrius Slivinskas Kristian Torp Kwang W. Nam Keun H. Ryu

Real-world objects are inherently spatially and temporally referenced, and many database applications rely on databases that record the past, present, and anticipated future locations of, e.g., people or land parcels. As a result, indices that efficiently support queries on the spatio-temporal extents of objects are needed. In contrast, past indexing research has progressed in largely separate ...

2007
Qiankun Zhao Prasenjit Mitra

In this paper, we propose to detect events from social text streams by exploring the content as well as the temporal, and social dimensions. We define the term event in the social text streams(e.g., blogs, emails, and Usenets) as a set of relations between social actors on a specific topic over a certain time period. We represent social text streams as multi-graphs, where each node represents a...

Journal: :OJDB 2016
Mathias Menninghaus Martin Breunig Elke Pulvermüller

There exist numerous indexing methods which handle either spatio-temporal or high-dimensional data well. However, those indexing methods which handle spatio-temporal data well have certain drawbacks when confronted with high-dimensional data. As the most efficient spatio-temporal indexing methods are based on the R-tree and its variants, they face the well known problems in high-dimensional spa...

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