找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Intelligence in Prescriptive Analytics; Innovations in Decis Witold Pedrycz,Gilberto Rivera,Gustavo Javier Mesc Book 2024 The Ed

[復制鏈接]
查看: 49068|回復: 58
樓主
發(fā)表于 2025-3-21 17:10:26 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in Prescriptive Analytics
期刊簡稱Innovations in Decis
影響因子2023Witold Pedrycz,Gilberto Rivera,Gustavo Javier Mesc
視頻videohttp://file.papertrans.cn/168/167601/167601.mp4
發(fā)行地址Encompasses a wide array of approaches, models, and algorithms.Includes representative applications and case studies in its last section.Written by experts in this field
學科分類Intelligent Systems Reference Library
圖書封面Titlebook: Artificial Intelligence in Prescriptive Analytics; Innovations in Decis Witold Pedrycz,Gilberto Rivera,Gustavo Javier Mesc Book 2024 The Ed
影響因子.Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making process with the power of Artificial Intelligence (AI). This book reveals, through concrete case studies and original application ideas, how cutting-edge AI techniques are revolutionizing industries such as finance, health care, and manufacturing. It invites us to discover how machine learning, decision analysis, and intelligent optimization are changing, directly or indirectly, almost all aspects of our daily lives. This comprehensive book offers practical insights and real-world applications for professionals, researchers, and students alike. It helps to learn how to apply AI for smarter, data-driven decisions in areas like supply chain management, risk assessment, and even personalized medicine. Be inspired by the chapters of this book and unlock the full potential of AI in your field!.
Pindex Book 2024
The information of publication is updating

書目名稱Artificial Intelligence in Prescriptive Analytics影響因子(影響力)




書目名稱Artificial Intelligence in Prescriptive Analytics影響因子(影響力)學科排名




書目名稱Artificial Intelligence in Prescriptive Analytics網絡公開度




書目名稱Artificial Intelligence in Prescriptive Analytics網絡公開度學科排名




書目名稱Artificial Intelligence in Prescriptive Analytics被引頻次




書目名稱Artificial Intelligence in Prescriptive Analytics被引頻次學科排名




書目名稱Artificial Intelligence in Prescriptive Analytics年度引用




書目名稱Artificial Intelligence in Prescriptive Analytics年度引用學科排名




書目名稱Artificial Intelligence in Prescriptive Analytics讀者反饋




書目名稱Artificial Intelligence in Prescriptive Analytics讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 20:16:08 | 只看該作者
1868-4394 tten by experts in this field.Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making process with the power of Artificial Intelligence (AI). This book
板凳
發(fā)表于 2025-3-22 02:33:00 | 只看該作者
地板
發(fā)表于 2025-3-22 05:03:35 | 只看該作者
5#
發(fā)表于 2025-3-22 09:32:05 | 只看該作者
Handbook of Behavior, Food and Nutrition not only yielded better average returns compared to the broader market but also exhibited significantly lower volatility, suggesting a more favorable risk-reward balance and outperforming conventional methods and market benchmarks in terms of both returns and risk management.
6#
發(fā)表于 2025-3-22 13:21:13 | 只看該作者
7#
發(fā)表于 2025-3-22 20:47:01 | 只看該作者
A New Methodology Based on Multicriteria Ordinal Classification for the Management of Financial Reso not only yielded better average returns compared to the broader market but also exhibited significantly lower volatility, suggesting a more favorable risk-reward balance and outperforming conventional methods and market benchmarks in terms of both returns and risk management.
8#
發(fā)表于 2025-3-22 23:08:24 | 只看該作者
A New Methodology Based on Multicriteria Ordinal Classification for the Management of Financial Reso not only yielded better average returns compared to the broader market but also exhibited significantly lower volatility, suggesting a more favorable risk-reward balance and outperforming conventional methods and market benchmarks in terms of both returns and risk management.
9#
發(fā)表于 2025-3-23 04:09:37 | 只看該作者
10#
發(fā)表于 2025-3-23 07:20:30 | 只看該作者
Book 2024like. It helps to learn how to apply AI for smarter, data-driven decisions in areas like supply chain management, risk assessment, and even personalized medicine. Be inspired by the chapters of this book and unlock the full potential of AI in your field!.
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2026-1-25 05:20
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
白银市| 江北区| 剑川县| 潮安县| 集安市| 天长市| 金川县| 香河县| 乌鲁木齐市| 射洪县| 西昌市| 赤壁市| 炎陵县| 文登市| 阜新市| 阳城县| 林口县| 闻喜县| 连平县| 阜南县| 定安县| 南皮县| 雷州市| 乐平市| 景宁| 玉树县| 宁陵县| 东光县| 陆河县| 惠东县| 驻马店市| 从江县| 黄山市| 剑川县| 绥江县| 安丘市| 类乌齐县| 临清市| 马鞍山市| 依兰县| 潜山县|