Equi-depth multidimensional histograms
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Fundamentals of digital image processing
Fundamentals of digital image processing
Towards an analysis of range query performance in spatial data structures
PODS '93 Proceedings of the twelfth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
OLAP, relational, and multidimensional database systems
ACM SIGMOD Record
Range queries in OLAP data cubes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
New sampling-based summary statistics for improving approximate query answers
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Data cube approximation and histograms via wavelets
Proceedings of the seventh international conference on Information and knowledge management
Selectivity estimation in spatial databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Approximate computation of multidimensional aggregates of sparse data using wavelets
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Approximating multi-dimensional aggregate range queries over real attributes
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
STHoles: a multidimensional workload-aware histogram
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Journal of Intelligent Information Systems
Wavelet synopses with error guarantees
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Overcoming Limitations of Sampling for Aggregation Queries
Proceedings of the 17th International Conference on Data Engineering
Aqua: A Fast Decision Support Systems Using Approximate Query Answers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Histogram-Based Approximation of Set-Valued Query-Answers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Selectivity Estimation Without the Attribute Value Independence Assumption
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Dynamic sample selection for approximate query processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Deterministic wavelet thresholding for maximum-error metrics
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Overcoming Limitations of Approximate Query Answering in OLAP
IDEAS '05 Proceedings of the 9th International Database Engineering & Application Symposium
A quad-tree based multiresolution approach for two-dimensional summary data
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Multiple-Objective Compression of Data Cubes in Cooperative OLAP Environments
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
Journal of Intelligent Information Systems
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Efficiently compressing OLAP data cubes via R-tree based recursive partitions
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation
Journal of Database Management
Efficient Top-k Keyword Search Over Multidimensional Databases
International Journal of Data Warehousing and Mining
Proceedings of the 17th International Database Engineering & Applications Symposium
Data warehousing and OLAP over big data: current challenges and future research directions
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Probabilistic skyline operator over sliding windows
Information Systems
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A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP is presented in this paper. Such a framework allows us to efficiently support OLAP applications, as answering queries is the main bottleneck for this kind of applications. To this end, scalability of the techniques and accuracy of the answers are recognized as important limitations of state-of-the-art approximate query answering proposals in OLAP. Specifically, this paper is focused on the latter limitation, whereas it refers to results presented in [9] for the first one. The KSyn synopsis data structure, which implements the guidelines of the proposed framework and overcomes the recognized limitations, is also presented and discussed in detail, along with a query-conscious error metrics-based storage space allocation scheme. Finally, encouraging preliminary experimental results stating the goodness of our proposal are presented and discussed.