Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
DynaMat: a dynamic view management system for data warehouses
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
FreeSpan: frequent pattern-projected sequential pattern mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
A case for dynamic view management
ACM Transactions on Database Systems (TODS)
View relevance driven materialized view selection in data warehousing environment
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Achieving scalability in OLAP materialized view selection
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
View selection using randomized search
Data & Knowledge Engineering
A Taxonomy of Indexing Schemes for Parallel Database Systems
Distributed and Parallel Databases
Information Sciences—Applications: An International Journal
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Selection of Views to Materialize in a Data Warehouse
ICDT '97 Proceedings of the 6th International Conference on Database Theory
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Materialized Views Selection in a Multidimensional Database
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Materialized View Selection for Multidimensional Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Automated Selection of Materialized Views and Indexes in SQL Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Integrating vertical and horizontal partitioning into automated physical database design
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Global parallel index for multi-processors database systems
Information Sciences: an International Journal
Selection of Views to Materialize in a Data Warehouse
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Efficient approaches for materialized views selection in a data warehouse
Information Sciences: an International Journal
A high performance integrated web data warehousing
Cluster Computing
Exact and inexact methods for selecting views and indexes for OLAP performance improvement
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Information Sciences: an International Journal
High Performance Parallel Database Processing and Grid Databases
High Performance Parallel Database Processing and Grid Databases
Clustering-Based Dynamic Materialized View Selection Algorithm
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 05
A view selection algorithm with performance guarantee
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Partitioning methods for multi-version XML data warehouses
Distributed and Parallel Databases
A Right-Time Refresh for XML Data Warehouses
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Dynamic Materialization of Query Views for Data Warehouse Workloads
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Data mining-based materialized view and index selection in data warehouses
Journal of Intelligent Information Systems
StatAdvisor: recommending statistical views
Proceedings of the VLDB Endowment
Dynamic materialized view management based on predicates
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Towards Near Real-Time Data Warehousing
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Warehousing dynamic XML documents
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Clustering-based materialized view selection in data warehouses
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
A/sup */ search: an efficient and flexible approach to materialized view selection
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A dynamic view materialization scheme for sequences of query and update statements
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
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On-Line Analytical Processing OLAP systems based on data warehouses are the main systems for managerial decision making and must have a quick response time. Several algorithms have been presented to select the proper set of data and elicit suitable structured environments to handle the queries submitted to OLAP systems, which are called view selection algorithms to materialize. As users' requirements may change during run time, materialization must be viewed dynamically. In this work, the authors propose and operate a dynamic view management system to select and materialize views with new and improved architecture, which predicts incoming queries through association rule mining and three probabilistic reasoning approaches: Conditional probability, Bayes' rule, and Naïve Bayes' rule. The proposed system is compared with DynaMat system and Hybrid system through two standard measures. Experimental results show that the proposed dynamic view selection system improves these measures. This system outperforms DynaMat and Hybrid for each type of query and each sequence of incoming queries.