A Proposal of a New Scheme for Storing and Processing Dynamic Multidimensional Data and Construction of Its Platform

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In this research we proposed a compact and efficient encoding/decoding scheme, and evaluated the scheme using an implemented platform system for storing and processing dynamically increasing multidimensional datasets. We also demonstrated its advantages and versatility by evaluating the implemented systems based on the proposed encoding scheme in some of the related application fields such as: (1) a kernel architecture of data warehousing system for accumulating and analyzing tuple stream data, (2) a data cube organization scheme, in which no reorganization is necessary even if a new attribute is dynamically added to the analyzed dataset, (3) a kernel data structure for XML document database.