E. F. Codd. Providing OLAP to user-analysts: An IT mandate. E.F. Codd and Associates, 1993. Home/Search Document Not in Database Summary Related Articles Check |
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The COMET Metamodel for Temporal Data Warehouses - Eder, Koncilia, Morzy (2002) (1 citation) (Correct)
....or 3 7 belong to February. Our model supports proportional aggregation to enable correct aggregation of non disjunct dimension members. Generic Dimensionality: in contrast to the di#erent OLAP models proposed so far our model fulfills E.F. Codd s sixth OLAP rule of Generic Dimensionality [CCS93]. He claims that each dimension must be equivalent in both its structure and operational capabilities. e.g. we treat the dimension Time that is usually a part of a data warehouse like any other dimension. Furthermore, we represent the facts of a data warehouse as a dimension Facts. Although ....
E. Codd, S. Codd, and C. Smalley. Providing OLAP to User-Analysts: An IT Mandate. Hyperion Solutions Corporation, California, 1993.
Understanding Analysis Dimensions in a Multidimensional.. - Abello, Samos (2001) (3 citations) (Correct)
....where we keep all data that could be useful for that purpose. However, storing that data is not enough, we also need query tools. Probably, the most popular of these tools are On Line Analytical Processing (OLAP) applications, firstly identified in [CCS93]. The main characteristic of OLAP tools, besides being fast and easy to use, is that they offer a multidimensional view of the subject of analysis. Offering a multidimensional view means conceiving the subject of analysis as a multidimensional space (also known as cube or hypercube) containing ....
E. F. Codd, S. B. Codd, and C. T. Salley. Providing OLAP to user-analysts: An IT mandate. Technical report, E. F. Codd & Associates, 1993.
Attribute Metadata for Relational OLAP and Data Mining - Merrett (2001) (2 citations) (Correct)
....relational algebra of adding the metadata type attribute and the transpose operator. Keywords relational algebra, datacube, data mining, association, classi cation, decision trees, nested relations, metadata 1 Introduction In introducing the term on line analytical processing (OLAP) Codd [2] wrote . relational DBMS were never intended to provide the very powerful functions for data synthesis, analysis and consolidation that is being de ned as multi dimensional data analysis and this is certainly true of SQL and current commercial database systems [4] We will show that a ....
E.F. Codd, S.B. Codd, and C.T. Salley. Providing OLAP to user-analysts: An IT mandate. Technical report, E. F. Codd & Associates, Hyperion Solutions, Sunnyvale, CA, 1993. http://www.arborsoft.com/essbase/wht ppr/coddps.zip, http://www.arborsoft.com/essbase/wht ppr/coddTOC.html.
A New Visualisation Technique for Knowledge Discovery in OLAP - Lee, Ong (Correct)
....for visualisation would differ if the input to the knowledge discovery comprises aggregated data instead of raw unprocessed data. In particular, we concentrate on the multi dimensional model, an emerging model for analysis, that underlies the on line analytical processing (OLAP) concept [2]. The OLAP camp uses the two dimensional cross tabulation table as its visualisation tool. We argue that this is inadequate and that a modified MDV can provide superior results for KDD. Visualization in OLAP Traditionally, production databases tuned for operational applications with emphasis on ....
Codd, E. F., Codd, S. B., and Salley, C. T., Providing OLAP to User Analysts: An IT Mandate, Codd & Date, Inc., 1993.
Proxy-Server Architectures for OLAP - Kalnis, Papadias (2001) (Correct)
....to existing OLAP cache systems and distributed OLAP approaches. 1. INTRODUCTION A data warehouse is a collection of historical summarized information, which aims at improving decision making. The process of accessing and manipulating these data is referred as On Line Analytical Processing (OLAP) [CCS93]. OLAP operations typically deal with aggregations, which involve huge amounts of data, as opposed to accessing only a few tuples at a time in an On Line Transaction Processing (OLTP) environment. Moreover, OLAP operations may require data, which are distributed in numerous geographically spanned ....
Codd E.F., Codd S.B., Salley C.T., "Providing OLAP to User-Analysts: An IT Mandate", Technical report, 1993, http://www.arborsoft.com/essbase/ wht_ppr/coddps.zip
High Performance OLAP and Data Mining on Parallel Computers - Goil, Choudhary (1998) (28 citations) (Correct)
....and data mining on parallel systems are scalable to a large number of processors, providing a high performance platform for such applications. This work was supported in part by NSF Young Investigator Award CCR 9357840 and NSF CCR 9509143. 2 1 Introduction On line Analytical Processing (OLAP) [1] systems enable analysts and managers to gain insight into the performance of an enterprise through a wide variety of views of data organized to reflect the multidimensional nature of the enterprise data. OLAP gives insight into data through fast, consistent, interactive access to a wide variety ....
Codd E. F., "Providing OLAP to user-analysts : An IT mandate", Technical Report, E.F. Codd and Associates, 1993.
Lazy Aggregates for Real-Time OLAP - Kiviniemi, Wolski, Pesonen, Arminen (1999) (Correct)
....invariant is violated, i.e. the error of the previously calculated aggregate exceeds the given tolerance. An industrial case study is presented. The prototype implementation is described, together with the performance results. 1 Introduction Traditional OLAP (on line analytical processing) [3] technology is developed mainly for commercial analysis needs. Data from various sources is compiled into multiattribute fact data tuples. They are used to compute multidimensional aggregates that make up the essence of OLAP. An industrial process is often a subject of extensive analysis, too. ....
F. Codd, et al. Providing OLAP to User-Analysts: An IT Mandate. TR, E.F. Codd & Associates, 1993 (http://www.arborsoft.com/essbase/wht_ppr/ coddTOC.html)
High Performance Data Mining Using Data Cubes On Parallel.. - Goil, Choudhary (1998) (2 citations) (Correct)
....of associations using Attribute Focusing. Results are presented for these on the IBM SP2, which show that our algorithms and techniques are scalable to a large number of processors, providing a high performance platform for such applications. 1. Introduction On line Analytical Processing (OLAP) [1] systems enable analysts and managers to gain insight into the performance of an enterprise through a wide variety of views of data organized to reflect its multidimensional nature. OLAP gives insight into data through fast, consistent, interactive access to a wide variety of possible views of ....
Codd E. F., "Providing OLAP to user-analysts : An IT mandate", Technical Report, E.F. Codd and Associates, 1993.
Parallel Data Cube Construction for High Performance On-Line.. - Sanjay Goil (1997) (Correct)
....construction on distributed memory machines. 1 Introduction On line Analytical Processing (OLAP) systems enable analysts and managers to gain insight into the performance of an enterprise through a wide variety of views of data organized to reflect the multi dimensional nature of the enterprise [1] . OLAP gives insight into data through fast, consistent, interactive access to a wide variety of possible views of information. In contrast to traditional databases, it answers questions like what if and why in addition to who and what . OLAP is used to build decision support ....
Codd E. F., Providing OLAP to user-analysts : An IT mandate, Technical Report, E.F. Codd and Associates, 1993.
Multidimensional Data Modeling for Complex Data - Pedersen, Jensen (1999) (19 citations) (Correct)
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E. F. Codd. Providing OLAP to user-analysts: An IT mandate. E.F. Codd and Associates, 1993.
A Bi-Temporal Data Warehouse Model - Christian Koncilia University (2003) (1 citation) (Correct)
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E. Codd, S. Codd, and C. Smalley. Providing OLAP to User-Analysts: An IT Mandate. Hyperion Solutions Corporation, California, 1993. URL: http://www.hyperion.com/.
An Organic Distributed Knowledge Information Management.. - Karran, al. (1999) (Correct)
No context found.
Codd, E.F., Codd, S.B., Salley, C.T. (1993) Providing OLAP to User-Analysts: An IT Mandate. Technical Report.
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