The principal component method and the mixed effects model represent two popular approaches to controlling for population structure and cryptic relatedness in genetic association studies. There are only a handful of studies comparing their performance. These studies are typically based on simulation studies and the results are therefore limited in their applicability. In this paper, we conduct ...

Purpose – This paper investigates, through the use of data mining techniques, patterns in HIV/AIDS patient data. These patterns can be used for better management of the disease and more appropriate targeting of resources. Design/methodology/approach – A total of 250,000 anonymised records from HIV/AIDS patients in Thailand were imported into a database. IBM’s Intelligent Miner was used for clus...

Generating a huge number of association rules reduces their utility in the decision making process, done by domain experts. In this context, based on the theory of Formal Concept Analysis, we propose to extend the notion of Formal Concept through the generalization of the notion of itemset in order to consider the itemset as an intent, its support as the cardinality of the extent and its releva...

Concept lattice is an efficient tool for data analysis. In this paper we show how classification and association rule mining can be unified under concept lattice framework. We present a fast algorithm to extract association and classification rules from concept lattice.

A higher level of interdisciplinary collaboration between music information retrieval (MIR) and musicology has been proposed both in terms of MIR tools for musicology, and musicological motivation and interpretation of MIR research. Applying association mining and content citation analysis methods to musicology references in ISMIR papers, this paper explores which musicological subject areas ar...

This paper presents work on applying clustering and association rule mining techniques to mine users’ behavior in interacting with an intelligent educational game, Prime Climb. Through such behavior discovery, frequent patterns of interactions which characterize different groups of students with similar interaction styles are identified. The relation between the extracted patterns and the avera...

databases to small one is proposed. Significant efficiency is obtained by applying some modified known algorithm on our proposed database layout. In addition, an new algorithm based on the proposed encoding method is introduced. Using some properties of numbers our database converts itemset to numerical domain. Our implementation indicates that the proposed layout made the size of database sign...

Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first ...

This paper presents work on applying clustering and association rule mining techniques to mine users’ behavior in interacting with an intelligent educational game, Prime Climb. Through such behavior discovery, frequent patterns of interaction which characterize different groups of students with similar interaction styles are identified. The relation between the extracted patterns and the averag...