An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Quasi-cubes: exploiting approximations in multidimensional databases
ACM SIGMOD Record
Proximal nodes: a model to query document databases by content and structure
ACM Transactions on Information Systems (TOIS)
Hierarchies and relative operators in the OLAP environment
ACM SIGMOD Record
A survey of logical models for OLAP databases
ACM SIGMOD Record
A robust, optimization-based approach for approximate answering of aggregate queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Query optimization for OLAP-XML federations
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Data analysis and mining in the life sciences
ACM SIGMOD Record
What can Hierarchies do for Data Warehouses?
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Searching XML documents via XML fragments
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Dynamic sample selection for approximate query processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Specifying OLAP Cubes on XML Data
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
From tree patterns to generalized tree patterns: on efficient evaluation of XQuery
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
AQuery: query language for ordered data, optimization techniques, and experiments
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Ix-cubes: iceberg cubes for data warehousing and olap on xml data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Algorithms for efficient structure-based grouping in XML-OLAP
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
XAV: a tracing framework for exploring large network simulation outputs
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
LMDQL: link-based and multidimensional query language
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
A secure multiparty computation privacy preserving OLAP framework over distributed XML data
Proceedings of the 2010 ACM Symposium on Applied Computing
Finding an application-appropriate model for XML data warehouses
Information Systems
Journal of Computer and System Sciences
A practical application of our MDD approach for modeling secure XML data warehouses
Decision Support Systems
Analytical Processing Over XML and XLink
International Journal of Data Warehousing and Mining
Topological XML data cube construction
International Journal of Web Engineering and Technology
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Online Analytical Processing (OLAP) has been a valuable tool for analyzing trends in business information. While the multi-dimensional cube model used by OLAP is ideal for analyzing structured business data, it is not suitable for representing and analyzing complex semi-structured data, such as, XML documents. Need for analyzing XML documents is gaining urgency as XML has become the language of choice for data representation across a wide range of application domains. This paper describes a proposal for analyzing XML documents using the abstract XML tree model. We argue that OLAP's multi-dimensional aggregation operators can not express structurally complex analytical operations on XML documents. Hence, we outline new extensions to XQuery for supporting such complex analytical operations. Finally, we discuss various challenges in implementing XML analysis in a real system.