Rybarczyk Y Data Mining Techniques and Applications Research Advances 2024
Category: eBooks
- views: 75
- date: 1 June 2024
- posted by: BeMyLove
Rybarczyk Y Data Mining Techniques and Applications Research Advances 2024 | 24.09 MB
138 Pages
Title: Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Author: ITexLi - Спизжено у exLib :
Description:
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
DOWNLOAD:
https://rapidgator.net/file/15361989d642ef7b66e1682b643de67d/Rybarczyk_Y._Data_Mining_Techniques_and_Applications._Research_Advances_2024.rar
https://k2s.cc/file/0e34a08239882/Rybarczyk_Y._Data_Mining_Techniques_and_Applications._Research_Advances_2024.rar
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
DOWNLOAD:
https://rapidgator.net/file/15361989d642ef7b66e1682b643de67d/Rybarczyk_Y._Data_Mining_Techniques_and_Applications._Research_Advances_2024.rar
https://k2s.cc/file/0e34a08239882/Rybarczyk_Y._Data_Mining_Techniques_and_Applications._Research_Advances_2024.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||