Scientific research needs lots of literature searches that cost a large amount of time and energy. Bibliometric techniques could help us find research hotspots and grasp the research direction yet can’t reveal huge hidden information in massive literature since the existing bibliometric analysis techniques employ mainly simple statistical analysis techniques. Hence, we propose to introduce data...

The continuous growth of biodiversity databases has led to a search for techniques that can assist researchers. This paper presents a method for the analysis of occurrences of pairs and groups of species that aims to identify patterns in co-occurrences through the application of association rules of data mining. We propose, implement and evaluate a tool to help ecologists formulate and validate...

Various studies on consumer purchasing behaviors have been presented and used in real problems. Data mining techniques are expected to be a more effective tool for analyzing consumer behaviors. However, the data mining method has disadvantages as well as advantages. Therefore, it is important to select appropriate techniques to mine databases. The objective of this paper is to know consumer beh...

As a side effect of unprecedented amount of digitization of data, classical retrieval tools found themselves unable to go further beyond the tip of the Iceberg. Data Mining, with a clear promise to furnish adequate tools to do so, is the discovery of hidden information found in databases. In this paper, we are interested in presenting a thorough survey of Galois connection semantics-based appro...

Association rules are one of the most researched areas of data mining and have recently received much attention from the database community. They have proven to be quite useful in the marketing and retail communities as well as other more diverse fields. In this paper we provide an overview of association rule research.

Coron is a domain and platform independent, multi-purposed data mining toolkit, which incorporates not only a rich collection of data mining algorithms, but also allows a number of auxiliary operations. To the best of our knowledge, a data mining toolkit designed specifically for itemset extraction and association rule generation like Coron does not exist elsewhere. Coron also provides support ...

Based on an actual dataset of college human resources, we analyzed the data warehouse technologies and combined them with the pracical work. The snowflake structure has been described about a data warehouse of university human resource and the data warehouse has been constructed. This paper reduces and categorizes features by explorative data analysis. When the data warehouse had built and appl...

Association rule mining is an important data mining task that discovers relationships among items in a transaction database. Most approaches to association rule mining assume that all items within a dataset have a uniform distribution with respect to support. Therefore, weighted association rule mining (WARM) was introduced to provide a notion of importance to individual items. Previous approac...

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...

The following paper is intended to introduce three suitable ways of using data mining of GUHA association rules in conjunction with existing set of business rules. The integration can be realized using full integration, as black box classification model and also using dynamic integration with data mining system. These ways are illustrated by demo use case based on data from a health insurance c...