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標題: Titlebook: Data-Driven Decision Making; Jeanne Poulose,Vinod Sharma,Chandan Maheshkar Book 2024 The Editor(s) (if applicable) and The Author(s), unde [打印本頁]

作者: 中間時期    時間: 2025-3-21 17:39
書目名稱Data-Driven Decision Making影響因子(影響力)




書目名稱Data-Driven Decision Making影響因子(影響力)學科排名




書目名稱Data-Driven Decision Making網絡公開度




書目名稱Data-Driven Decision Making網絡公開度學科排名




書目名稱Data-Driven Decision Making被引頻次




書目名稱Data-Driven Decision Making被引頻次學科排名




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書目名稱Data-Driven Decision Making年度引用學科排名




書目名稱Data-Driven Decision Making讀者反饋




書目名稱Data-Driven Decision Making讀者反饋學科排名





作者: infatuation    時間: 2025-3-21 20:59
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作者: DENT    時間: 2025-3-22 09:03
https://doi.org/10.1007/3-540-28989-5ess contexts. It is about using data as a tool to enhance strategic thinking, scenario planning, and adaptation in rapidly changing environments. It involves leveraging data and analytics to navigate the challenges of volatility, uncertainty, complexity, and ambiguity. By embracing DDDM, organizatio
作者: 嘴唇可修剪    時間: 2025-3-22 13:10
analysis helps in observing opinion about any product, topic, policy, etc., from thousands and thousands of online reviews, twits, social media comments, hashtags, etc. In the area of Software Engineering (SE) also this technique is being explored and found to be an interesting way to observe the o
作者: 嘴唇可修剪    時間: 2025-3-22 20:26
Greet Vanaerschot,Nelleke Nicolaiing accurate results. In this study, we conducted a comparative analysis of several well-known supervised machine learning techniques, including logistic regression, support vector machine (SVM), k-nearest neighbours (kNN), na?ve Bayes, decision trees, random forest, AdaBoost, and artificial neural
作者: 賄賂    時間: 2025-3-22 22:28

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作者: AGONY    時間: 2025-3-23 16:48
https://doi.org/10.1007/BFb0117145er extends contemporary and exponential research findings for Smart Tourism Practices and the Application of AI-enabled systems for the Tourism Ecosystem. It highlights for various service segments like hotels, motels, resorts, restaurants, cafes, airlines, and destinations under this large umbrella
作者: 組裝    時間: 2025-3-23 20:24
https://doi.org/10.1007/978-94-011-2460-7 The basic idea behind the adoption of OBE model is that the graduates should possess a sound knowledge in their respective disciplines and also have global mobility and acceptance. The Outcome-Based Education (OBE) should be based on the vision and mission of the institution. The institutions shoul
作者: Connotation    時間: 2025-3-24 01:37
Energielieferung an Letztverbraucherand Russell in 1995 explored four different approaches for AI: thinking humanly, thinking rationally, acting humanly and acting rationally. Taking on these approaches, the field of AI was defined further, based upon reasoning and behaviour. Though companies are using strategies and methods for stimu
作者: 單獨    時間: 2025-3-24 06:15

作者: arboretum    時間: 2025-3-24 07:36
ise. The convergence of big data, powerful computing, and cutting-edge algorithms has given rise to AI/ML/DS as pivotal drivers of innovation across industries. In this dynamic landscape, the education and career pathways are as diverse as the applications themselves. Understanding the core competen
作者: Ventricle    時間: 2025-3-24 13:54
ain management. The systematic literature review was conducted according to the PRISMA guidelines extended into a three-phase approach. The articles were reviewed from different databases like Scopus, Web of Science, and ABDC. 239 articles were reviewed through abstract screening, and 191 articles w
作者: sparse    時間: 2025-3-24 15:38
cies required, the avenues for learning and growth, and the burgeoning job opportunities is essential for anyone considering a career in these fields. Therefore, this chapter focuses on dispelling some of the myths relating to AI and understanding the data science space for careers in data science, AI, and machine learning.
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作者: Override    時間: 2025-3-25 04:29
Application of Artificial Intelligence on Smart Tourism Eco Space: An Integrated Approach in Post-Csm eco space is highly vulnerable, and this situation in the service sector creates an intense requirement of a comprehensive view of digitally enabled smart tourism eco space with innovative mechanisms to remain contact-free with less human intervention.
作者: 喪失    時間: 2025-3-25 11:14
professional experience stories related to usage of big data.This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation
作者: 外星人    時間: 2025-3-25 13:43
Book 2024istical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, an
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作者: Metamorphosis    時間: 2025-3-26 17:16
Harnessing the Power of Big Data Analytics to Transform Supply Chain Management, analysis, co-citation and network analysis, and theme identification from the domain. Moreover, the study theoretically contributes by suggesting growing trends in the field of supply chain management, and the managerial implications of the study suggest the benefits of implementing big data analytics in supply chain management.
作者: ALTER    時間: 2025-3-27 00:03

作者: 使糾纏    時間: 2025-3-27 03:52
Investigation of Predictive Power of Sentiment Analysis Model Developed Using Different Word Embeddues in SE text is performed which are collected from 3 different sources StackOverflow.com, jira and app reviews. Since algorithms take vectors of numbers therefore, SE text has to be converted into vectors of numbers. There are 6 different word embedding techniques (Count Vectorization, TF-IDF, Wor
作者: 舊式步槍    時間: 2025-3-27 08:52
A Comparative Analysis of Machine Learning Algorithms for Image Classification: Evaluating Performaied depending on the training size of the dataset. Notably, as the training size increased, neural networks exhibited superior performance compared to other machine learning techniques. Consequently, we conclude that neural networks and SVM are the most effective algorithms for image classification
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作者: 闡明    時間: 2025-3-27 19:54
Generational Cohort Analysis to Purchase Fashion Products in India,hanced digital literacy promotion for policymakers, and the need for sustainable practices and improved online platforms. Overall, this research contributes to comprehending the intricate interplay of offline and online shopping behaviours within generational cohorts amid the evolving fashion indust
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作者: DUCE    時間: 2025-3-28 06:54
ints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics..978-981-97-2904-3978-981-97-2902-9
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作者: thrombus    時間: 2025-3-28 14:38
ues in SE text is performed which are collected from 3 different sources StackOverflow.com, jira and app reviews. Since algorithms take vectors of numbers therefore, SE text has to be converted into vectors of numbers. There are 6 different word embedding techniques (Count Vectorization, TF-IDF, Wor
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作者: idiopathic    時間: 2025-3-29 02:48
https://doi.org/10.1057/978-1-137-51299-4o a sustainable competitive advantage, building data strategy, and setting Key Performance Indicators (KPI) for business analytics. The chapter further explores how analytics is used across business domains and the challenges in crafting a business analytics strategy.
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作者: 外表讀作    時間: 2025-3-29 16:27
Energielieferung an Letztverbraucherthese can be identified and trained. For the purpose of this, a questionnaire was developed and validated to understand people’s attitude towards AI. Basically, it will help in identifying the AI mindset which will eventually help prepare such mindsets that are as important as preparing data set. Fo
作者: 拋媚眼    時間: 2025-3-29 21:33
Data-Driven Decision Making in the VUCA Context: Harnessing Data for Informed Decisions,ess contexts. It is about using data as a tool to enhance strategic thinking, scenario planning, and adaptation in rapidly changing environments. It involves leveraging data and analytics to navigate the challenges of volatility, uncertainty, complexity, and ambiguity. By embracing DDDM, organizatio
作者: Germinate    時間: 2025-3-30 00:56





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