Download Hyper-lattice Algebraic Model for Data Warehousing by Soumya Sen, Agostino Cortesi, Nabendu Chaki PDF

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By Soumya Sen, Agostino Cortesi, Nabendu Chaki

This publication offers Hyper-lattice, a brand new algebraic version for partly ordered units, and a substitute for lattice. The authors research many of the shortcomings of traditional lattice constitution and suggest a singular algebraic constitution within the kind of Hyper-lattice to beat issues of lattice. They determine how Hyper-lattice helps dynamic insertion of components in a partial order set with a partial hierarchy among the set contributors. The authors current the features and different homes, displaying how propositions and lemmas formalize Hyper-lattice as a brand new algebraic structure.

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Extra resources for Hyper-lattice Algebraic Model for Data Warehousing

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Tripathy A, Mishra L, Patra PK (2010) A multi dimensional design framework for querying spatial data using concept lattice. In: Proceedings of the 2nd international advance computing conference (IACC), pp 394–399 Chapter 2 Applications of Hyper-lattice in Real Life In this chapter, we illustrate different business and real life situations where Hyper-lattice increases efficiency in data analytics. 2, different case studies are considered on five different application environments. Within a short space, we have considered variations common in data warehouses and how to use Hyper Lattice to represent, and model such situations.

7 is considered and the numbers of distinct values for the dimensions A, B, C and D are 100, 200, 150 and 250 respectively. The problem is to find the path between the cuboids and which saves both space and time using the algorithm SelectMinPath. Solution The cuboids that are generated from to the immediate upper level are , , and . Among these four cuboids only two cuboids namely and contain the pattern . Cuboid contains 100 × 150 × 250 = 37,50,000 distinct values, whereas cuboid contains 200 × 150 × 250 = 75,00,000 distinct values.

4 Outline of the Algorithm and the Functions Used In this sub-section we describe the relationship among the different functions of the procedure Lookup. The functionalities of the different functions are also described. 3 depicts the relationship of function hierarchy in Procedure Lookup. 1 Purpose of Each Function (A) FindTargetSource (Src): Fetch the Item with highest rank at target level with respect to given SRC. (B) FindTargetDestination (DSTN): Fetch the Item with highest rank at target level with respect to given DSTN.

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