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Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
(2011-12-01)
The multi-relational Data Mining approach has emerged as alternative to the analysis of structured data, such as relational databases. Unlike traditional algorithms, the multi-relational proposals allow mining directly ...
3D geovisualisation techniques applied in spatial data mining
(2013-08-13)
The increase in the number of spatial data collected has motivated the development of geovisualisation techniques, aiming to provide an important resource to support the extraction of knowledge and decision making. One of ...
Mining software repository to identify crosscutting concerns using combined techniques
(2013-01-01)
Modularization is a goal difficult to achieve in software development. Aspect mining aims to identify crosscutting concerns in non aspect oriented software allowing organizing them into aspects and, thus, improve the ...
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution
(2020-01-01)
Business process management (BPM) is an administration discipline to design, improve and manage processes, and consists of several phases. One of them is the modeling of the current process (as is), during which the process ...
Visualizing the document pre-processing effects in text mining process
(2018-01-01)
Text mining is an important step to categorize textual data by using data mining techniques. As most obtained textual data is unstructured, it needs to be processed before applying mining algorithms – that process is known ...
Comparison of the techniques decision tree and MLP for data mining in SPAMs detection to computer networks
(2013-12-31)
Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify these unusual traffic patterns. This research aims to use data mining techniques in order to correctly ...
A Systematic Mapping on the Use of Data Mining for the Face-to-Face School Dropout Problem
(Scitepress, 2021-01-01)
Dropout is a critical problem that affects institutions worldwide. Data mining is an analytical solution that has been used to deal with it. Typically, data mining follows a structured process containing the following ...
Mining negative rules: a literature review focusing on performance
(Ieee, 2021-01-01)
Mining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the ...
Comparative Study on Data Mining Techniques Applied to Breast Cancer Gene Expression Profiles
(Scitepress, 2017-01-01)
Breast cancer has the second highest incidence among all cancer types and is the fifth cause of cancer related death among women. In Brazil, breast cancer mortality rates have been rising. Cancer classification is intricate, ...