Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining association rules with multiple minimum supports
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
A maturity model for the implementation of software process improvement: an empirical study
Journal of Systems and Software - Special issue: The new context for software engineering education and training
Integrated model-driven business evaluation methodology for strategic planning
International Journal of Business Information Systems
An empirical comparison of ID3 and back-propagation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Mining associative classification rules with stock trading data - A GA-based method
Knowledge-Based Systems
Implementing a data mining solution for enhancing carpet manufacturing productivity
Knowledge-Based Systems
Approximate weighted frequent pattern mining with/without noisy environments
Knowledge-Based Systems
Measuring enterprise IT capability: A total IT capability perspective
Knowledge-Based Systems
A soft set approach for association rules mining
Knowledge-Based Systems
Mining fuzzy specific rare itemsets for education data
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Function and service pattern analysis for facilitating the reconfiguration of collaboration systems
Computers and Industrial Engineering
Single-pass incremental and interactive mining for weighted frequent patterns
Expert Systems with Applications: An International Journal
Classification based on association rules: A lattice-based approach
Expert Systems with Applications: An International Journal
An efficient mining algorithm for maximal weighted frequent patterns in transactional databases
Knowledge-Based Systems
CAR-Miner: An efficient algorithm for mining class-association rules
Expert Systems with Applications: An International Journal
Using geospatial business intelligence to support regional infrastructure governance
Knowledge-Based Systems
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Business performance measurements, decision support systems (DSS) and online analytical processing (OLAP) have a common goal i.e., to assist decision-makers during the decision-making process. Integrating DSS and OLAP into existing business performance measurements hopes to improve the accuracy of analysis and provide in-depth, multi-angle view of data. This paper describes a decision support system containing our methodology, Weighted and Layered workflow evaluation (WaLwFA), extended to incorporate business intelligence using C4.5 and association rule algorithms. C4.5 produces more comprehensible decision trees by showing only important attributes. Furthermore, C4.5 can be transformed into IF-THEN rules. However, association rules are preferred as data can be described in rules of multiple granularities. Sorting rules based on rules' complexities permits OLAP to navigate through layers of complexities to extract rules of relevant sizes and to view data from multidimensional perspectives in each layer. Experimental results on an airline domain are presented.