Best of MYX-news: close

Let's go to the Competition HUNINNO: 2014.X.15-17. Innovative stress-management and Virtual-Robot Farmer in Budapest
Special prize for the NGSTRESS-project in the finale!!!

Let's go to the Finale: Innovact Award 2014 (April 01-02, Reims)
Our prototype = Virtual Robot Farmer
based on similarity analyses

Special prizes from INNOREG-KMRIÜ (2013) for innovative Students
(Innovation Agency for Central-Hungary)
Dead heat for two tasks: quality management of studies and
new moduls for production plannig softwares
based on similarity analyses

National Innovation Prize of ITBN 2012 for SeaLog
a software for suspicion generating
based on similarity analyses

MY-X FREE, the online analytical tool
supported by INNOCSEKK programm in Hungary (2006-2009)
based on similarity analyses

'Ember-kísérletek': close2

avagy a prevenció robotizálása

Hová tart vajon egy-egy idősor?
avagy céginformációs rendszeradatok nagyító alatt

Milyen csoportok bújnak meg 2D-s pixel-halmazokban?
avagy mi az ideális klaszterszám?

Melyik honlap az ideális?
avagy komplex értékelési feladat éles szeműeknek

avagy egy kérdőív sok mindent elárulhat...

Last modified: 2014.10.14 * 12:13

Data-driven policy making, or data mining on the field of RDI

Leading article: 2014. October (MIAU No. 194.)
(Previous article: MIAU No. 193.)

Keywords: data-driven policy making, similarity analyses, objectivity, modeling, HR

The searching for ideals can be executed by experts, but this can also be the result of robotized activities. The human brain is not designed for monotonous analyzes of public databases including many components of evaluation processes. The human experts - however - are capable to create source codes for these hermeneutical tasks. Therefore, the exploring of suspicions concerning good/best practices can be automated. The targeted objects (countries and regions) and attributes (HR-statistics of RDI activities collected by OECD) make possible to explore which dynamic was characteristically given in time and space... More (DOC) *** More (PDF)

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