Efficient methods for data cube computation pdf

An efficient method for multidimensional constrained gradient analysis in data cubes was studied by dong, han, lam, et al. Mr cubeone of the efficient method among various cube. It is a wellknown fact that data cube computation is an expensive. A lattice of cuboids time,item time,item,location time, item, location, supplierc all time item location supplier. Full cube, iceberg cube, closed cube, and cube shell figure 5.

Pdf precomputed data cube facilitates olap online analytical processing. Simultaneous aggregation and caching intermediate results. Aggregation from smallest child when there exist multiple child cuboid 4. It is one of the efficient methods among various cube computation methods. What are efficient methods for data cube computation. This section explores efficient methods for data cube computation. Introducing iceberg cubes will lessen the burden of computing trivial aggre gate cells in a data cube. Keywords data cubes, cube computation techniques, star. Data cubes computer science, stony brook university. Multidimensional data analysis in cube space by caitao.

Data cube modeling and computation have been extended well beyond relational data. In this paper, we study efficient methods for computing iceberg cubes with. Basic concepts data cube computation methods processing advanced queries with data cube technology multidimensional data analysis in cube space summary 4 data cube. Efficient methods for data cube computation data cubes for advanced applications knowledge discovery with data cubes summary 4 icons metaphors 4 common realization information knowledgecompetency pattern governance alignment solution approach. The apriori pruning method can be explored to compute iceberg cubes efficiently. A closed cube a closed cube is a data cube consisting of only closed cells shell cube we can choose to precompute only portions or fragments of the cube shell, based on cuboids of interest. The precomputation of all or part of a data cube can greatly reduce the selection from data mining. Agrawal, gupta, and sarawagi ags97 proposed operations for modeling multidimensional databases.

But these techniques have limitation so we introduce mapreduced based mr cube approach. To compute all of the aggregations as efficiently as possible. Aggregation from the smallest child, when there exist multiple child cuboids. Efficient computation an overview sciencedirect topics. Commonly used measures include count,sum,min,max, and totalsales. Pdf efficient computation of iceberg cubes with complex. In particular, for efficient computation of iceberg cubes with the average measure, we propose a topk average pruning method and extend two previously studied methods, apriori and buc, to topk.

The apriori pruning method can be explored to compute iceberg cube efficiently 8. Discuss how computations can be performed efficiently on. Efficient methods for data cube computation methods are. New york university computer science department courant. Multiway array aggregation for cube computation method summary. The precomputation of all or part of a data cube can greatly reduce the response time and enhance the performance of online analytical processing. Different cube computation approaches international journal of. Efficient methods may even avoid computing the unneeded, intermediate cells. Comments on the method efficient for computing the full cube for a small number of dimensions if there are a large number of dimensions, topdown computation and iceberg cube computation methods e. Data generalization is a process that abstracts a large set of taskrelevant data in a database from a relatively low conceptual level to. Methods for cube size estimation can be found in deshpande, naughton, ramasamy, et al. Abstract efficient computation of aggregations plays important role in data. General heuristics sorting, hashing, and grouping operations are applied to the dimension attributes in order to reorder and cluster related tuples.