OLAP provides an efficient way for business data analysis. However, most up-to-date OLAP tools often make the analysts lost in the sea of data while the analysts usually focus their interest on a subset of the whole ' dataset. Unfortunately, OLAP operators are usually not capsulated within the subset. What's more, the users' interests often arise in an impromptu way after'the user getting some information from the data. In this paper, we give the definition of users' interests and propose the user-defined virtual cubes to solve this problem. At the same time, we present an algorithm to answer the queries upon virtual cube. All the OLAP operators will be encapsulated within this virtual cube without superfluous infor...
Our goal is to enhance multidimensional database systems with advanced mining primitives. Current On...
The present paper proposes to speak about the interrogation of the OLAP cubes, by using the multidim...
This paper structures a novel vision for OLAP by fundamentally redefining several of the pillars on ...
The manually performing of the operators turns OLAP analysis a tedious procedure. The huge user&apos...
The lack of an appropriate conceptual model for data warehouses and OLAP systems has led to the tend...
Organizations own data sources that contain millions, billions or even trillions of rows and these d...
OLAP cubes enable aggregation-centric analysis of transactional data by shaping data records into me...
With the standard OLAP technology, cubes are constructed from the input data based on the available ...
ii Business Intelligence (BI) systems are repidly becoming a key to gaining competitive advantage fo...
The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP ...
OnLine Analytical Processing (OLAP) is a relational database technology providing users with rapid a...
Expressing preferences when querying databases is a natural way to avoid empty results and informati...
Manual data exploration in data cubes and searching for potentially interesting and useful informati...
The purpose of this paper is to demonstrate that it is possible to develop business intelligence pro...
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dime...
Our goal is to enhance multidimensional database systems with advanced mining primitives. Current On...
The present paper proposes to speak about the interrogation of the OLAP cubes, by using the multidim...
This paper structures a novel vision for OLAP by fundamentally redefining several of the pillars on ...
The manually performing of the operators turns OLAP analysis a tedious procedure. The huge user&apos...
The lack of an appropriate conceptual model for data warehouses and OLAP systems has led to the tend...
Organizations own data sources that contain millions, billions or even trillions of rows and these d...
OLAP cubes enable aggregation-centric analysis of transactional data by shaping data records into me...
With the standard OLAP technology, cubes are constructed from the input data based on the available ...
ii Business Intelligence (BI) systems are repidly becoming a key to gaining competitive advantage fo...
The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP ...
OnLine Analytical Processing (OLAP) is a relational database technology providing users with rapid a...
Expressing preferences when querying databases is a natural way to avoid empty results and informati...
Manual data exploration in data cubes and searching for potentially interesting and useful informati...
The purpose of this paper is to demonstrate that it is possible to develop business intelligence pro...
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dime...
Our goal is to enhance multidimensional database systems with advanced mining primitives. Current On...
The present paper proposes to speak about the interrogation of the OLAP cubes, by using the multidim...
This paper structures a novel vision for OLAP by fundamentally redefining several of the pillars on ...