Buscar
Mostrando ítems 1-10 de 116
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 ...
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 ...
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, ...
Mining negative rules: A literature review focusing on performanceMineração de regras negativas: uma revisão da literatura com foco em desempenho
(2021-06-23)
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 ...
KDD Processes in Non-Relational Data: The case of the MineraMongo Tool
(Ieee, 2017-01-01)
The process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, ...
Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
(2017-07-11)
The process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, ...
Exploiting text mining techniques for contextual recommendations
(University of WarsawInstitute of Electrical and Electronics Engineers - IEEEWeb Intelligence Consortium - WICAssociation for Computing Machinery - ACMWarsaw, 2014-08)
Unlike traditional recommender systems, which make recommendations only by using the relation between users and items, a context-aware recommender system makes recommendations by incorporating available contextual information ...
Data Mining on LinkedIn Data to Define Professional Profile via MineraSkill Methodology
(Ieee, 2017-01-01)
Social networks are of significant analytical interest. This is because their data are generated in great quantity, and intermittently, besides that, the data are from a wide variety, and it is widely available to users. ...