ACM Transactions on Database Systems (TODS)
Multi-table joins through bitmapped join indices
ACM SIGMOD Record
Why decision support fails and how to fix it
ACM SIGMOD Record
Bitmap index design and evaluation
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Multi-Dimensional Database Allocation for Parallel Data Warehouses
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Case Memory and Retrieval Based on the Immune System
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Immunity-Based Systems
Yet another algorithms for selecting bitmap join indexes
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Automatic selection of bitmap join indexes in data warehouses
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Pruning search space of physical database design
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Bitmap join indexes are designed to prejoin the facts and dimension tables in data warehouses modeled by a star schema. They are defined on the fact table using attributes which belong to one or many dimension tables. The index selection process has become an important issue regarding the complexity of the search space to explore. Thus, the indexes can be defined on several attributes from several dimension tables (that may contain hundreds of attributes). However, only a few selection algorithms were proposed. In this article, we present a bitmap join indexes selection approach based on artificial immune algorithm. An experimental study was conducted on the dataset generated from APB-1 benchmark in order to compare the artificial immune algorithm with other algorithms.