Results 131 to 140 of about 1,263 (173)
Some of the next articles are maybe not open access.

Symbiotic Approach for Datamining

Proceedings of the 4th ACM International Conference of Computing for Engineering and Sciences, 2018
To solve combinatorial optimization problems, several bio-inspired approaches have demonstrated their capacity and robustness in these problems category. They are a set of so-called metaheuristic techniques. Some of these metaheuristics are sometimes very useful in the absence of algorithmic solution for an approximate and optimized solution via a set ...
Samia Nouredine, Abida Toumi, Abir Betka
openaire   +1 more source

Datamining in Grid Environment

2005
The paper deals with assessing performance improvements and some implementation issues of two well-known data mining algorithms, Apriori and FP-growth, in Alchemi grid environment. We compare execution times and speed-up of two parallel implementations: pure Apriori and hybrid FP-growth — Apriori version on grid with one to six processors. As expected,
M. Ciglarič   +3 more
openaire   +1 more source

Visualizing Sequential Educational Datamining Patterns

International Journal of Creative Interfaces and Computer Graphics, 2016
The use of educational datamining techniques to elicit patterns in student behavior and learning outcomes can be a useful for the analysis of the effectiveness of teaching strategies and the coordination of study programs. However, results from those techniques are, often, large sets of symbolic patterns, numbering in the thousands, usually presented ...
Vilma Jordão   +2 more
openaire   +1 more source

Using the DATAMINE Program

2017
This chapter serves as a user’s manual for the DATAMINE program, which demonstrates the algorithms presented in this book. Each menu selection is discussed in its own section.
openaire   +1 more source

Datamining voor fraudedetectie

2016
Abstract: De omvang, diversiteit en impact van de fraudeproblematiek zorgt ervoor dat bedrijven en overheden alsmaar meer investeren in geavanceerde detectiesystemen. Geautomatiseerde datamining technieken bieden een belangrijke opportuniteit als risicomanagementtools, aangezien ze toelaten om frauduleuze patronen te onderscheiden van legale patronen ...
Vanhoeyveld, Jellis   +2 more
openaire   +2 more sources

?????????????????????????? ?????????????????????? ???????????????? ?????????????? ?????????? ???? ???????????? ?????????????????????????? ?????????????? DataMining. ?????????????? 2

2017
???????????????????????????? ?????????????????????????????????? ???????????????? ???????????? ?????????????? ???????????? ??????????????. ?????????????? ???????????????????????????? ???????????????????? ?????????? ?????????????????? ???????????????????????? ???????????????????? ???????????? ???? ???????????? ?? ???????????????????????????? ????????????
openaire   +1 more source

Appendix A: DataMining Tools

2009
This appendix contains sections titled: Commercially and publicly available tools Web Site ...
openaire   +1 more source

?????????????????????????? ?????????????????????? ???????????????? ?????????????? ?????????? ???? ???????????? ?????????????????????????? ?????????????? DataMining. ?????????????? 1

2015
???????????????????????????? ?????????????????????????????????? ???????????????? ???????????? ?????????????? ???????????? ??????????????. ?????????????? ???????????????????????????? ???????????????????? ?????????? ?????????????????? ???????????????????????? ???????????????????? ???????????? ???? ???????????? ?? ???????????????????????????? ????????????
openaire   +1 more source

Grootse plannen met datamining

Zorgvisie ICT, 2018
Philips wil het leven van drie miljard mensen verbeteren binnen het zogenoemde Health Continuum, vertelt CEO Philips Benelux Henk Valk. Daarom wil Philips om te beginnen, uitgroeien tot de dataprovider van Nederland.
openaire   +1 more source

Datamining sociálních sítí

2012
This paper is about application of various data mining methods in social networks and social media area. It reveals basic principles of social media with the aim to high information potential of usage of the data from social networks. This is demonstrated on selected data mining methods, especially Social Network Analysis and Sentiment Analysis.
openaire   +1 more source

Home - About - Disclaimer - Privacy