Key-value encoding has gained the interest of the researchers in many data manipulation
applications such as social networks, online retail, data analysis for their improved …

Array based storage and retrieval systems are demanded in many high dimensional
systems like Big data for their easy maintenance. However, the lack of scalability of the …

Big Data involve composite, undefined volume and unspecified rate of datasets [1]. The
index array lags behind the conventional approaches to maintain the data velocity by …

Sažetak Many statistical and MOLAP applications use multidimensional arrays as the basic
data structure to allow the efficient and convenient storage and retrieval of large volumes of …

Data is increasing so rapidly that new data warehousing approaches are required to
process and analyze data. Aggregation of data incrementally is needed to fast access of …

Data is increasing so rapidly that new data warehousing approaches are required to
process and analyze data. Aggregation of data incrementally is needed to fast access of …

We describe an implementation scheme for selectivity estimation using Multi Level Grid File
(MLGF). The MLGF is a balanced, dynamic and hierarchical file structure that conforms to …

Decision support systems (DSS), as well as many scientific and engineering applications
rely on the Multidimensional On-Line Analytical Processing (MOLAP) model which enables …

The structure of Multidimensional Array has been practiced in “Big Data” applications
tremendously as it stores expediently and retrieves rapidly. However, performance issue of …

Most queries involved with Online Analytical Processing (OLAP) depend on the functionality
of aggregating data along the multidimensional hierarchies of an OLAP cube. In real-time …