Results 41 to 50 of about 50 (50)
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Data Cube Compression with QuantiCubes
2000Data warehouses typically store a multidimensional fact representation of the data that can be used in any type of analysis. Many applications materialize data cubes as multidimensional arrays for fast, direct and random access to values. Those data cubes are used for exploration, with operations such as roll-up, drill-down, slice and dice.
Henrique Madeira, Pedro Furtado
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Statistical Analyses of Data Cubes
2012I review the statistical analyses that have been applied to position–position-velocity (PPV) data cubes derived from observations. I focus on the PPV data cubes derived for observations of the star forming interstellar medium. These techniques separate into the study of sparse data cubes, statistical analysis of turbulent flows and observationally ...
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A Join-Like Operator to Combine Data Cubes and Answer Queries from Multiple Data Cubes
ACM Transactions on Database Systems, 2014In order to answer a “joint” query from multiple data cubes, Pourabass and Shoshani [2007] distinguish the data cube on the measure of interest (called the “primary” data cube) from the other data cubes (called “proxy” data cubes) that are used to involve the dimensions (in the query) not in the primary data cube. They demonstrate in study
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Computation of OLAP Data Cubes
2009The focus of online analytical processing (OLAP) is to provide a platform for analyzing data (e.g., sales data) with multiple dimensions (e.g., product, location, time) and multiple measures (e.g., total sales or total cost). OLAP operations then allow viewing of this data from a number of perspectives.
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2002
Partitioning a data cube into sets of cells with "similar behavior" often better exposes the semantics in the cube. E.g., if we find that average boots sales in the West 10th store of Walmart was the same for winter as for the whole year, it signifies something interesting about the trend of boots sales in that location in that year.
Jiawei Han +2 more
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Partitioning a data cube into sets of cells with "similar behavior" often better exposes the semantics in the cube. E.g., if we find that average boots sales in the West 10th store of Walmart was the same for winter as for the whole year, it signifies something interesting about the trend of boots sales in that location in that year.
Jiawei Han +2 more
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Classification on Top of Data Cube
2011Currently, data classification is either performed on data stored in relational databases or performed on data stored in flat files. The problem with these approaches is that for large data sets, they often need multiple scans of the original data and thus are often infeasible in many applications. In this chapter we propose to deploy classification on
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Data Cube Compression Techniques
2009OnLine Analytical Processing (OLAP) research issues (Gray, Chaudhuri, Bosworth, Layman, Reichart & Venkatrao, 1997) such as data cube modeling, representation, indexing and management have traditionally attracted a lot of attention from the Data Warehousing research community.
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