System software approaches to the Analysis of Multidimensional Data Structures

AbstractIn this review paper on software techniques, the concepts of “software system” and “data base interface” are defined in the context of astronomical data analysis requirements. Principles of software desiqn and maintainance over are discussed.A deliberate effort was made to stay as close as possible to the astronomical application and not deviate too much into computer science.

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System Software Approaches to the Analysis of Multidimensional Data Structures

Automated Data Retrieval in Astronomy - Astrophysics and Space Science Library ◽

10.1007/978-94-009-7858-4_16 ◽

1982 ◽

pp. 87-97 ◽

Cited By ~ 1

Author(s):

Rudolf Albrecht

Keyword(s):

Data Structures ◽

Multidimensional Data ◽

System Software ◽

Multidimensional Data Structures

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Multidimensional Data Structures

Algorithms and Theory of Computation Handbook - Chapman & Hall/CRC Applied Algorithms and Data Structures series ◽

10.1201/9781420049503-c19 ◽

1998 ◽

Author(s):

Hanan Samet

Keyword(s):

Data Structures ◽

Multidimensional Data ◽

Multidimensional Data Structures

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On Support of Ordering in Multidimensional Data Structures

Advances in Databases and Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15576-5_49 ◽

2010 ◽

pp. 575-578 ◽

Cited By ~ 1

Author(s):

Filip Křižka ◽

Michal Krátký ◽

Radim Bača

Keyword(s):

Data Structures ◽

Multidimensional Data ◽

Multidimensional Data Structures

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Multidimensional Data Structures

Data Structures and Algorithms 3 ◽

10.1007/978-3-642-69900-9_1 ◽

1984 ◽

pp. 1-78 ◽

Cited By ~ 16

Author(s):

Kurt Mehlhorn

Keyword(s):

Data Structures ◽

Multidimensional Data ◽

Multidimensional Data Structures

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On Attribute-Based Encryption for Access Control to Multidimensional Data Structures

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-63940-6_36 ◽

2017 ◽

pp. 251-256

Author(s):

Anna Epishkina ◽

Sergey Zapechnikov

Keyword(s):

Access Control ◽

Data Structures ◽

Multidimensional Data ◽

Attribute Based Encryption ◽

Multidimensional Data Structures

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Two Motivating Examples: Sequential Orders on Quadtrees and Multidimensional Data Structures

Texts in Computational Science and Engineering - Space-Filling Curves ◽

10.1007/978-3-642-31046-1_1 ◽

2012 ◽

pp. 1-14

Author(s):

Michael Bader

Keyword(s):

Data Structures ◽

Multidimensional Data ◽

Multidimensional Data Structures

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Explanation in OLAP Data Cubes

Journal of Information Technology Research ◽

10.4018/jitr.2014100105 ◽

2014 ◽

Vol 7 (4) ◽

pp. 63-78 ◽

Cited By ~ 1

Author(s):

Rahhal Errattahi ◽

Mohammed Fakir ◽

Fatima Zahra Salmam

Keyword(s):

Data Mining ◽

Association Rules ◽

Data Structures ◽

Relevant Information ◽

Multidimensional Data ◽

New Approach ◽

Data Cubes ◽

Multidimensional Data Structures ◽

Analytical Processing ◽

Interactive Data

OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube. In addition OLAP is not capable of explaining relationships that could exist within data. This paper presents a new approach to coupling between data mining and online analytical processing. Its approach provides the explanation in OLAP data cubes by using the association rules between the inter-dimensional predicates. The mining process could be done by one of the two algorithms, Apriori and Fp-Growth, in which aggregate measures to calculate support and confidence are exploited. It also evaluates the interestingness of mined association rules according to the Lift criteria.

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