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Spatial hierarchy and OLAP-favored search in spatial data warehouse
2003
Proceedings of the 6th ACM international workshop on Data warehousing and OLAP - DOLAP '03
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pre-aggregation and materialization in data warehouse. ...
To process spatial OLAP query in spatial data warehouse, we propose an OLAPfavored search method which can utilize the pre-aggregation result in spatial data warehouse to improve the performance of spatial ...
Figure 1: Star Schema in Data Warehouse In the data warehouse there are four dimension tables: Station, Gas, Vehicle and Time. The Station table is the spatial dimension in the data warehouse. ...
doi:10.1145/956069.956070
fatcat:qv5rcvewvnhnnjwrdwptgvr5a4
Spatial hierarchy and OLAP-favored search in spatial data warehouse
2003
Proceedings of the 6th ACM international workshop on Data warehousing and OLAP - DOLAP '03
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pre-aggregation and materialization in data warehouse. ...
To process spatial OLAP query in spatial data warehouse, we propose an OLAPfavored search method which can utilize the pre-aggregation result in spatial data warehouse to improve the performance of spatial ...
Figure 1: Star Schema in Data Warehouse In the data warehouse there are four dimension tables: Station, Gas, Vehicle and Time. The Station table is the spatial dimension in the data warehouse. ...
doi:10.1145/956060.956070
dblp:conf/dolap/RaoZYLC03
fatcat:p7t3mlp2ybcdvb6tcme7r4lm5a
Efficient OLAP Operations in Spatial Data Warehouses
[chapter]
2001
Lecture Notes in Computer Science
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Driven by the non-spatial paradigm, spatial data warehouses can be constructed to accelerate spatial OLAP operations. In this paper we consider the star-schema and we focus on the spatial dimensions. ...
Unlike the non-spatial case, the groupings and the hierarchies can be numerous and unknown at design time, therefore the wellknown materialization techniques are not directly applicable. ...
In analogy to the non-spatial case, a spatial data warehouse can be considered, which supports OLAP operations on both spatial and non-spatial data. Han et. al. ...
doi:10.1007/3-540-47724-1_23
fatcat:ro7j5bbarbd53m5bz42qvdx25i
An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy
[chapter]
2003
Lecture Notes in Computer Science
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A spatial index mechanism is employed to derive the spatial hierarchy for pre-aggregation and materialization, which in turn are leveraged by the OLAP system to efficiently answer spatial OLAP queries. ...
Investigation shows that a huge number of spatial data exists in current business databases. ...
[9, 14] are the first ones to propose a framework for spatial data warehouses. ...
doi:10.1007/978-3-540-45228-7_5
fatcat:3s67y7dhhnd7hg4hqmfpvrrskm
Towards a Novel OLAP Interface for Distributed Data Warehouses
[chapter]
2001
Lecture Notes in Computer Science
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To support large sets of data while maintaining an interactive frame rate we propose the VOLAP-tree. ...
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. ...
DIVE-ON constructs a virtual data warehouse from a set of distributed DBMS systems. ...
doi:10.1007/3-540-44801-2_18
fatcat:a4asyk4cl5fwvouqxfyk3sgcvy
On-Line Analysis of Utility Networks
[chapter]
2002
Knowledge and Technology Integration in Production and Services
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The data warehouse contains materialized views on geographical data. ...
Its drawbacks are the spatial queries that are computationally very demanding. Therefore GIS integrated together with a data warehouse technologies profit from each other. ...
doi:10.1007/978-0-387-35613-6_53
fatcat:kfbrhr74rbcirl5byto4mzuyjq
A Data Management Model for Intelligent Water Project Construction Based on Blockchain
2022
Wireless Communications and Mobile Computing
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Then, a distributed blockchain data structure for storing the production-related files is designed according to the model and strategy. ...
The engineering construction-related data is essential for evaluating and tracing project quality in industry 4.0. ...
Acknowledgments This research work is supported by the National Natural Science Funds of China (62072368), Basic Research in Natural Science and Enterprise Joint Fund of Shaanxi (2021JLM-58), and Special ...
doi:10.1155/2022/8482415
fatcat:oyg2sw462fh7zp3hawvfzzstwq
A comparative study analysis of materialized view for selection cost
2012
International Journal of Computer Science & Engineering Survey
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Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. ...
Selecting views to materialize for the purpose of supporting the decision making efficiently is one of the most significant decisions in designing Data Warehouse. ...
Again no. of items are reduced using multiple Materialized views in a Data Warehouse, IEEE, 2005. constraints, it will stored in M-tree structure. Comparing 8. Bogdan Czejdo, 2002. ...
doi:10.5121/ijcses.2012.3102
fatcat:pkvrynik7zdjhem54winznjn7e
An Effective Method to Answer OLAP Queries using R*-trees in Distributed Environment
2014
International Journal of Computer Applications
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This paper proposes a method in a Hadoop and MapReduce distributed environment. Experimental evaluation gives improved results due to the proposed method. ...
Evaluation of OLAP queries is one of the challenging tasks in a database system. Attempts are being continuously made to improve the efficiency of the methods that answer OLAP queries. ...
The data in the data warehouses are modelled as structures generally referred as star schema and snowflake schema. ...
doi:10.5120/18859-0474
fatcat:3ypmmh6xanddngz426xldesevm
Data Mining
[chapter]
2017
Encyclopedia of GIS
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Usually, regression analysis, generalized linear model, correlation analysis and decision trees are useful tools in quality prediction. ...
With the construction of large data warehouses, data mining in data warehouse is one step beyond on-line analytic processing (OLAP) of data warehouse data 2]. ...
doi:10.1007/978-3-319-17885-1_100249
fatcat:zjof3kzpzbcy5dsvfkhwd7cgw4
Evaluation of Top-k OLAP Queries Using Aggregate R–Trees
[chapter]
2005
Lecture Notes in Computer Science
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Such queries may also be applied in a spatial database context, where objects are augmented with some measures that must be aggregated according to a spatial division. ...
For this, we make use of spatial indexes, augmented with aggregate information, like the aggregate R-tree. ...
Overall, our method is very efficient when either the data points or the measures are skewed, a realistic case especially in spatial data warehouses (since most real spatial data are skewed by nature). ...
doi:10.1007/11535331_14
fatcat:rfbr2lvlpvajpm5uinfzfw4uli
Design and Key Technology of Gardening Information Management System Based on Data Center
2010
Journal of Geographic Information System
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This system greatly helps the daily management and plays very important role in improving urban ecological environment and investment environment. Figure 1. ...
It also proposed to flexibly and smartly build up the system by using the secondary development design environment and running environment based on data center integration development platform. ...
In addition to basic spatial data and urban RS image information, there are lots of other spatial data, such as, water resources, meteorology, ecology, pests and diseases. ...
doi:10.4236/jgis.2010.22015
fatcat:t6gsjnlfnfbybeqezskywb6zue
Spatial Datawarehousing
[chapter]
2017
Encyclopedia of Database Systems
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The following are just a few of the fields and challenges, which drive current and future research in data warehousing. Spatial data warehousing. ...
Spatial data and spatio-temporal data are inherently more complex than traditional (alphanumerical) business data. ...
Similar to materialized views in traditional data warehouses, to efficiently support analytical queries, it is necessary to materialize (that is, pre-compute) aggregated spatial data. ...
doi:10.1007/978-1-4899-7993-3_80810-1
fatcat:7yo63qvmhfadzn5vwn2x7bizku
Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges
[chapter]
2005
Lecture Notes in Computer Science
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In the early 2000 the research community gradually solve the most basic issues in data warehouse design, materialized view maintenance and selection, OLAP query design and evolution. ...
The most commonly used techniques in data mining and knowledge discovery in the late 1980s and early 1990s are artificial neural networks, decision trees, genetic algorithms, nearest neighbourhood, and ...
doi:10.1007/11546849_52
fatcat:sdcervokrzasvanqlcnbp4jsp4
Dynamic cubing for hierarchical multidimensional data space
2014
Journal of Decision Systems
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In [Papadias 2001] , authors propose an R-Tree based indexing structure for spatial data warehouses, called aggregation tree (aR-Tree). ...
The materialization of views is achieved through data grouping structures that are stored and indexed in a tree like structure. ...
Our prototype supports data visualization for a 3-dimensional data space and any 3 dimensions of a higher dimensional data can be selected to visualize data and tree nodes. ...
doi:10.1080/12460125.2014.940241
fatcat:3bwxerc4urbujhwldvrujybtre
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