In this paper we propose a new cache management scheme for online analytical processing (OLAP) systems based on the usability of query results in rewriting and processing other queries. For effective admission and replacement of OLAP query results, we consider the benefit of query results not only for recently issued queries but for the expected future queries of a current query. We exploit sem...

On-line analytical processing (OLAP) systems based on a dimensional view of data have found widespread use in business applications and are being used increasingly in nonstandard applications. These systems provide good performance and ease-of-use. However, the complex structures and relationships inherent in data in non-standard applications are not accommodated well by OLAP systems. In contra...

Formal concept analysis (FCA) with measures can be seen as a framework for Business Intelligence technologies. In this paper we introduce new ideas about an OLAP cube. We take a focus on a highdimensional OLAP cube reduction and on a hierarchy of attributes in an OLAP cube.

NoSQL solutions are started to be increasingly used in modern days’ Data Warehouses (DW). However, business analysts face challenges when performing On Line Analytical Processing (OLAP) queries on these systems. The lack of uniform representation various OLAP operations over different types based DWs is one them. In addition, deficiency precise semantics create obstacles effective query interpr...

The conventional researches on a distributed On-Line Analytical Processing (OLAP) system have been in hardship to be adapted to real business environment. However, the recent spread of Cloud PaaS (Platform as a Services) provides new chances in the field of a distributed OLAP. OLAP query execution costs many minutes by its enormous data and OLAP query properties. On the other hand, MOLAP has fa...

The previous decade saw the rise of separate, dedicated database management systems (DBMS) for online transaction processing (OLTP) and online analytical processing (OLAP) workloads [3]. The former are focused on executing short-lived, small-footprint transactions with high throughput and strong consistency guarantees. OLAP DBMSs typically target longer running and more complex queries that exa...

To support efficient graph OLAP operations on information networks, we propose two significant intermediate infrastructures: InfoNetWarehouse and InfoNetCube. InfoNetWarehouse is designed with novelty to be the warehouse model for information networks, which provides topic-oriented, integrated, and multidimensional organizational solutions for Information networks. InfoNetCube is our proposed d...