dc.contributor.author |
Strycharz, Jan |
|
dc.date.accessioned |
2018-08-02T10:28:38Z |
|
dc.date.available |
2018-08-02T10:28:38Z |
|
dc.date.issued |
2018-08-02 |
|
dc.identifier.uri |
http://ngoteka.pl/handle/item/364 |
|
dc.description.abstract |
Text and Data Mining (TDM) has a vital role to play to ensure that Big Data exerts an economic impact. Gleaning value from vast informational resources has become an indispensable activity in an ever - expanding world of information. Private and public organizations are increasingly more interested in understanding how to make decisions based on sufficient and sound information to succeed in the
global economy that is becoming more and more knowledge-based.By all means, the ability to glean proper and actionable intelligence from vast information sources is essential for market success, public policy impact and economic growth. |
pl |
dc.description.sponsorship |
HORIZON 2020 |
pl |
dc.language.iso |
en |
pl |
dc.rights |
Creative Commons Uznanie autorstwa 3.0 Polska |
pl_PL |
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/pl/legalcode |
|
dc.subject |
TDM, text and data mining, eksploracja tekstu i danych |
pl |
dc.title |
Trend analysis, future applications and economics of TDM |
pl |
dc.type |
Raport |
pl |