scholarly journals Evaluating XML-Extended OLAP Queries Based on Physical Algebra

2009 ◽  
pp. 2510-2542
Author(s):  
Xuepeng Yin ◽  
Torben Bach Pedersen

In today’s OLAP systems, physically integrating fast-changing data (e.g., stock quotes) into a cube is complex and time-consuming. The data is likely to be available in XML format on the World Wide Web (WWW); thus, instead of physical integration, making XML data logically federated with OLAP systems is desirable. In this article, we extend previous work on the logical federation of OLAP and XML data sources by presenting simplified query semantics, a physical query algebra, and a robust OLAP-XML query engine, as well as the query evaluation techniques. Performance experiments with a prototypical implementation suggest that the performance for OLAP-XML federations is comparable to queries on physically integrated data.

Author(s):  
Xuepeng Yin ◽  
Torben Bach Pedersen

In today’s OLAP systems, physically integrating fast-changing data, for example, stock quotes, into a cube is complex and time-consuming. This data is likely to be available in XML format on the World Wide Web (WWW); thus, instead of physical integration, making XML data logically federated with OLAP systems is desirable. In this chapter, we extend previous work on the logical federation of OLAP and XML data sources by presenting simplified query semantics, a physical query algebra and a robust OLAP-XML query engine as well as the query evaluation techniques. Performance experiments with a prototypical implementation suggest that the performance for OLAP-XML federations is comparable to queries on physically integrated data.


Author(s):  
Qin Ding ◽  
Gnanasekaran Sundarraj

With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semi-structured data, there is an imminent need for tools and techniques to perform data mining on XML documents and XML repositories. In this chapter, we propose a framework for association rule mining on XML data. We present a Java-based implementation of the Apriori and the FP-Growth algorithms for this task and compare their performances. We also compare the performance of our implementation with an XQuery-based implementation.


2009 ◽  
Author(s):  
Blair Williams Cronin ◽  
Ty Tedmon-Jones ◽  
Lora Wilson Mau

2019 ◽  
pp. 3-6
Author(s):  
D. A. Bogdanova

The article provides an overview of the activities of the European Union Forum on kids' safety in Internet — Safer Internet Forum (SIF) 2019, which was held in Brussels, Belgium, in November 2019. The current Internet risks addressed by the World Wide Web users, especially children, are described.


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