An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Range queries in OLAP data cubes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Multidimensional access methods
ACM Computing Surveys (CSUR)
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Towards OLAP security design — survey and research issues
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Efficient computation of Iceberg cubes with complex measures
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Constructing an OLAP cube from distributed XML data
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
Specifying OLAP Cubes on XML Data
Journal of Intelligent Information Systems
Computing Iceberg Queries Efficiently
VLDB '98 Proceedings of the 24rd 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
Cryptographic techniques for privacy-preserving data mining
ACM SIGKDD Explorations Newsletter
Tools for privacy preserving distributed data mining
ACM SIGKDD Explorations Newsletter
Foundations of Cryptography: Volume 2, Basic Applications
Foundations of Cryptography: Volume 2, Basic Applications
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Extending XQuery for analytics
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Cardinality-based inference control in data cubes
Journal of Computer Security
Analytical processing of XML documents: opportunities and challenges
ACM SIGMOD Record
Privacy preservation for data cubes
Knowledge and Information Systems
SIAM Journal on Computing
Answering top-k queries with multi-dimensional selections: the ranking cube approach
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Quotient cube: how to summarize the semantics of a data cube
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
OLAP Query Processing for XML Data in RDBMS
SWOD '07 Proceedings of the 2007 IEEE International Workshop on Databases for Next Generation Researchers
Cubing Algorithms for XML Data
DEXA '09 Proceedings of the 2009 20th International Workshop on Database and Expert Systems Application
FMC: an approach for privacy preserving OLAP
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Towards a theory for privacy preserving distributed OLAP
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Trustworthiness analysis of sensor data in cyber-physical systems
Journal of Computer and System Sciences
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Privacy Preserving Distributed OLAP is becoming a critical challenge for next-generation Business Intelligence (BI) scenarios, due to the "natural suitability" of OLAP in analyzing distributed massive BI repositories in a multidimensional and multigranularity manner. In particular, in these scenarios XML-formatted BI repositories play a dominant role, due to the wellknow amenities of XML in modeling and representing distributed business data. However, while Privacy Preserving Distributed Data Mining has been widely investigated, very few efforts have focused on the problem of effectively and efficiently supporting privacy preserving OLAP over distributed collections of XML documents. In order to fulfill this gap, we propose a novel Secure Multiparty Computation (SMC)-based privacy preserving OLAP framework for distributed collections of XML documents. The framework has many novel features ranging from nice theoretical properties to an effective and efficient protocol. The efficiency of our approach has been validated by an experimental evaluation over distributed collections of synthetic XML documents.