منابع مشابه
Interactive Association Rules Discovery
An interactive discovery method for finding association rules is presented. It consists in a user-guided search using reduction operators on a rule. Rules are generated on-demand according to the navigation made by the user. Main interest of this approach is that, at each step, the user has only a linear number of new rules to analyse and that all computations are done in polynomial time. Sever...
متن کاملPattern Discovery as Event Association
A basic task of machine learning and data mining is to automatically uncover patterns that reflect regularities in a data set. When dealing with a large database, especially when domain knowledge is not available or very weak, this can be a challenging task. The purpose of pattern discovery is to find non-random relations among events from data sets. For example, the “exclusive OR” (XOR) proble...
متن کاملAssociation Rules Discovery in Workforce Schedule Database
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workforce dispatching decision making process, thereby improve workforce allocation and optimization. In this paper, a conceptual framework of the scheduling pattern discovery system is proposed. Association rule extraction ...
متن کاملDiscovery of Fuzzy Hierarchical Association Rules
A number of techniques have been developed to turn data into useful knowledge. Most of the algorithms in data mining find association rules among transactions using binary values and at single concept level. However it will be more exciting to discover hierarchical association rules for decision makers. In this work we have integrated association rule mining with fuzzy set theory and hierarchy....
متن کاملAssociation Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitative patterns is proposed. A pattern is defined as a sequence of mixed states. The multivariate time series is transformed into a set of labeled intervals and mined for frequently occurring patterns. Then these patterns ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2011
ISSN: 2158-107X,2156-5570
DOI: 10.14569/ijacsa.2011.021210