Kavosh: an effective Map-Reduce-based association rule mining method

Data sanitization in association rule mining based on impact factor

Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

A Novel Method for Selecting the Supplier Based on Association Rule Mining

One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

An effective Fuzzy Healthy Association Rule Mining Algorithm (FHARM)

In this paper we propose an effective and efficient new Fuzzy Healthy Association Rule Mining Algorithm (FHARM) that produces more interesting and quality rules by introducing new quality measures. In this approach, edible attributes are filtered from transactional input data by projections and are then converted to Required Daily Allowance (RDA) numeric values. The averaged RDA database is the...

Constraint-Based Association Rule Mining

An ILP Method for Spatial Association Rule Mining

Knowledge discovery in spatial databases raises challenging multirelational data mining problems. A promising solution approach comes from the field of inductive logic programming (ILP). In this paper, an ILP method for spatial association rule mining is presented. It benefits from the available prior knowledge on the spatial domain, systematically explores the hierarchical structure of geograp...