Download Data Mining lecture - LIACS Data Mining Group

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Data Mining Tools
some examples
Data Mining Tools
 Free software
 Weka
 R
 Python
 Cortana
 Free software (paid services)
 KNIME
 RapidMiner
 Commercial software
 SAS Enterprise Miner
 SPSS Modeler (IBM)
R Programming Language
 Command-line interface oriented
 Very extensive language
 statistical analysis
 data manipulation
 data mining
 Several graphical user interfaces
 RStudio
 Interactive analysis over the web
 Shiny (by RStudio)
KNIME
 Konstanz Information Miner
 Academic  Commercial
 Large, many plug-ins (Weka algorithms, Cortana)
RapidMiner
 Rapid-I
 Academic  Commercial
 Large, many plug-ins (Weka algorithms)
RapidMiner
 Fancy visualisations
source: kdnuggets.com
Popularity
source: kdnuggets.com
Commercial vs. free tools
Related documents