KXEN Inc.

Infobox_Software
name = KXEN
|


caption = KXEN Analytic Framework
foundation = flagicon|USA California, USA (1998)
developer = [http://www.kxen.com/about/ KXEN Inc.]
latest_release_version = 4.0
latest_release_date = July, 2007
operating_system = Windows, Linux, Unix
genre = Predictive Analytics
license = proprietary
website = [http://www.kxen.com www.kxen.com]
Founded in 1998, KXEN is a privately held company headquartered in California with offices in the USA, UK, France and distributors throughout the world (China, Malaysia, Japan, Brazil, Byelorussia, Czech Republic, Israel, Italy, Kazakhstan, Mauritius, Russia, South Africa, Spain, Turkey, Ukraine).

Automated Data Mining

KXEN Analytic Framework (KAF) is a Predictive Modeling suite provided by KXEN,inc. and enabling analytic professionals, and business executives to automatically extract information from data. Among other functions, KXEN is used for Variable Importance, Classification, Regression, Segmentation, Time Series, and Product Recommendation, as described and expressed by the JDM API group.KAF has been designed to allow the prediction of a behavior or a value, the forecast of a time series or the understanding of a group of individuals with similar behavior. Advanced functions include behavioral modeling, exporting the model code into different target environments or building predictive models on top of DAP/SAS or PSPP/SPSS data files.

Overview of KXEN Scientific Committee

KXEN Scientific Committee informs and supports KXEN on current hot research topics related to its activity. Members are worldwide acknowledged mathematicians and researchers in mathematics or statistics :
Vladimir Vapnik, Leon Bottou, Olivier Chapelle, Christian Derquenne , Lee Giles, Isabelle Guyon, Yann LeCun, Philippe Lelong , Gregory Piatetsky-Shapiro, Gilbert Saporta, Bernhard Schölkopf, Emmanuel Viennet.

ee also

* The Java Data Mining community
* Data mining
* Predictive analytics
* About the Importance of Robustness in Modelling
* Vapnik-Chervonenkis theory, the Basis.
* Supervised learning

External links

* KXEN Web site [http://www.kxen.com www.kxen.com]