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Updating OLAP dimensions

Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP, 1999
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related “dimensions” , organized into levels which conform a hierarchy. Although the usual assumption is that these points reflect the dynamic aspect of the data warehouse while dimensions are relatively
Carlos A. Hurtado   +2 more
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Index selection for OLAP

Proceedings 13th International Conference on Data Engineering, 2002
On-line analytical processing (OLAP) is a recent and important application of database systems. Typically, OLAP data is presented as a multidimensional "data cube." OLAP queries are complex and can take many hours or even days to run, if executed directly on the raw data.
Himanshu Gupta 0001   +3 more
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Outstanding challenges in OLAP

Proceedings 14th International Conference on Data Engineering, 2002
The core challenges associated with enterprise OLAP are how to structure the database and how to build a decision support architecture that allows for complex analysis and qualification. The primary components of an OLAP system-the database and the analysis engine-must be capable of handling large amounts of data in varying structures.
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Spreadsheets in RDBMS for OLAP

Proceedings of the 2003 ACM SIGMOD international conference on Management of data, 2003
One of the critical deficiencies of SQL is lack of support for n-dimensional array-based computations which are frequent in OLAP environments. Relational OLAP (ROLAP) applications have to emulate them using joins, recently introduced SQL Window Functions [18] and complex and inefficient CASE expressions.
Andrew Witkowski   +7 more
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???????????????????????????? ???????????????????? ???????????????? OLAP-?????????? ?????? ?????????????????????????? ???????????????????????? ???????????????????????? ???????????? ?????????????????? ????????????????????

2015
?????????????????????? ?????????????????????????? ?????????????????? ?????????????????????????????????????? ???????????????????? ?? ?????????????? ???????????????????????????? ?????????????????????? ???????????????????????????? ????????????????????, ???????????????????????? ?????????????????? ?????????????????????? Data Mining ?? Text Mining. ??????????
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Interactive Visualization for OLAP

2005
Business data collection is growing exponentially in recent years. A variety of industries and businesses have adopted new technologies of data storages such as data warehouses. On Line Analytical Processing (OLAP) has become an important tool for executives, managers, and analysts to explore, analyze, and extract interesting patterns from enormous ...
Kesaraporn Techapichetvanich   +1 more
openaire   +1 more source

OLAP and machine learning

Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
The objective of this tutorial is to present an overview of machine learning (ML) methods. This paper outlines different types of ML as well as techniques for each kind. It covers popular applications for different types of ML. On-Line Analytic Processing (OLAP) enables users of multidimensional databases to create online comparative summaries of data.
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OLAP

2001
Opisan je sustav OLAP.
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The Case for Mobile OLAP

2004
On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data Numerous applications and development environments exist, offering OLAP analysis to developers, analysts and end users Further more, mobile devices find their way into almost all aspects of every day life, ranging from cellular phones with
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COOL: A framework for conversational OLAP

Information Systems, 2022
Matteo Francia   +2 more
exaly  

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