GIS stock的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列股價、配息、目標價等股票新聞資訊

Patent Analysis and Mining for Business Intelligence

為了解決GIS stock的問題，作者Jin, Bo,Xiong, Hui 這樣論述：

This book provides a comprehensive compendium of recent research on business intelligence-oriented patent data analysis and mining. Through the book, the readers will gain an essential understanding of the following topics: (1) text mining modeling for patent documents, including statistics modeling

and key phrase extraction mining; (2) the patent retrieval method, including chuck based retrieval and retrieval fusion method; and (3) integrated business solutions for stock dynamics, technology prospecting, and minimizing legal exposure. This book provides an informative and insightful reference

guide for researchers who are newcomers to patent data mining and business intelligence, as well as for professionals and practitioners from industry. Dr. Bo Jin is an Associate Professor in Dalian University of Technology. He received his Ph.D. in Computer Science in 2009. His general area of re

search is data mining and knowledge discovery. He has published prolifically in refereed journals and conference proceedings (60+ papers), e.g., SIGKDD, ICDM, and PAKDD. He has served regularly in the program committees of a number of conferences and is a reviewer for the leading academic journals i

n his fields, e.g., SIGKDD, ICDM, DASFAA, SDM, TKDE, and SpringPlus. He is a senior member of ACM, IEEE, and CCF.Dr. Hui Xiong received his Ph.D. in Computer Science from the University of Minnesota - Twin Cities, USA, in 2005, the B.E. degree in Automation from the University of Science and Technol

ogy of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. He is currently a Professor and Vice Chair in the Management Science and Information Systems Department, and the Director of Rutgers Center for Information Assurance

, at Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), the ICDM-2011 Best Research Paper Award (2011), an IBM ESA Innovation Award (2008), the Junior F

aculty Teaching Excellence Award (2007), the Junior Faculty Research Award (2008), and Dean’s Award for Meritorious Research (2010, 2011, 2013) at Rutgers Business School.Dr. Xiong’s general area of research is data and knowledge engineering, with a focus on developing effective and efficient data a

nalysis techniques for emerging data intensive applications. His research has been supported in part by the National Science Foundation (NSF), IBM Research, SAP Corporation, Panasonic USA Inc., Awarepoint Corp., Citrix Systems Inc., and Rutgers University. He has published prolifically in refereed j

ournals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, Machine Learning, the Data Mining and Knowledge Discovery Journal, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), SIAM I

nternational Conference on Data Mining (SDM), IEEE International Conference on Data Mining (ICDM), and ACM International Symposium on Advances in Geographic Information Systems (ACM GIS). He is a co-Editor-in-Chief of Encyclopedia of GIS (Springer, 2008) and an Associate Editor of IEEE Transactions

on Data and Knowledge Engineering (TKDE), IEEE Transactions on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD) and ACM Transactions on Management Information Systems (TMIS). He has served regularly on the organization and program committees of numerous conferences, including

as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM), and a General Co-Chair for the IEEE 2015 International Con

ference on Data Mining (ICDM). He is an ACM Distinguished Scientist and a senior member of the IEEE.

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考量影響碳足跡之屋頂太陽能政策 系統動態模型研究

為了解決GIS stock的問題，作者Thi Hang Dinh 這樣論述：

Solar photovoltaic (PV) system has been one of the most important solutions to reduce the dependence on imported energy supply and impacts on the environment in Taiwan. Recently, the building sector could be seen as a major driver for next years during climate change and global warming contexts. Ho

wever, the world community has made only little and insufficient progress in the building sector in terms of energy savings and greenhouse gas reductions. Therefore, this research addresses the impacts of rooftop solar PV installations on residential and commercial buildings to identify the potentia

l of GHG emissions reduction in Taiwan. The purpose is to analyze the influence of rooftop solar PV installation on greenhouse gases under the government policy focusing especially on Feed-in Tariff (FIT) and government subsidy for PV installation costs. Accordingly, a total of 11 policy strategies

(five single and six hybrid policies) is proposed and how they influence the number of rooftop solar PV installations on buildings and corresponding carbon footprint from 2021 to 2050. The results show that the hybrid policy with FIT 1% increment and government subsidy of 50% can help achieve the lo

west carbon footprint compared to the other policies. Besides suggesting the best policy to the government, this research also hopes to help raise the awareness of people on the benefit of using solar panels from both economic and environmental perspectives.

Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 2

為了解決GIS stock的問題，作者 這樣論述：

Wall-distance Measurement for Indoor Mobile Robots.- Automating Cognitive Modelling Considering Non-Formalisable Semantics.- Using a Humanoid Robot to Assist Post-Stroke Patients with Standardised Neurorehabilitation Therapy.- Human Resource Information System in Healthcare Organizations.- Perfor

mance Prediction of Scalable Multi-Agent Systems using Parallel Theatre.- Dynamics of Epidemic Computer Subnetwork Models for Scan-based Worm Propagation: An Internet Protocol Addressing Configuration Perspective.- Security Analysis of Integrated Clinical Environment Using Attack Graph.- Smart Unive

rsity: Key factors for a cloud computing adoption model.- Agile governance supported by the frugal smart city.- Effect of Normal, Calcium Chloride Integral and Polyethene Sheet Membrane curing on the strength characteristics of Glass Fiber and Normal concrete.- Problems with health information syste

ms in Ecuador, and the need to educate university students in health informatics in times of pandemic.- Utilizing Technological Pedagogical Content (TPC) for Designing Public Service Websites.- А Multidimensional Rendering of Error Types in Sensor Data.- Optimization of the Overlap Shortest-Path Rou

ting for TSCH Networks.- Application of Emerging Technologies in Aviation MRO Sector to Optimize Cost, Utilization: The Indian Case.- User Evaluation of a Virtual Reality Application for safety training in Railway Level Crossing.- GreenMile - Gamification-Supported Mobile and Multimodal Route Planni

ng for a Sustainable Choice of Transport.- A Detailed Study for Bankruptcy Prediction by Machine Learning Technique.- Cyberbullying in Online/E-Learning Platforms Based on Social Networks.- Machine Learning and Remote Sensing Technique for Urbanization Change Detection in Tangail District.- Enabling

a Question-Answering System for COVID Using a Hybrid Approach based on Wikipedia and Q/A Pairs.- A Study of Purchase Behavior of Ornamental Gold Consumption.- Circularly Polarized Micro-strip Patch Antenna for 5G Applications.- An approach towards protecting Tribal lands through ICT Interventions.-

Urban Sprawl Assessment Using Remote Sensing and GIS Techniques: A Case Study of Ernakulam District.- Exploring the means and benefits of including Blockchain smart contracts to a smart manufacturing environment: Water bottling plant case study.- Extreme gradient boosting for predicting stock price

direction in context of Indian equity markets.- Performance of Grid-Connected Photovoltaic and its Impact: A Review.- A Novel Approach of Deduplication on Indian Demographic Variation for Large Structured Data.- Dual-message Compression with Variable Null Symbol Incorporation on Constrained Optimiz

ation based Multipath and Multihop Routing in WSN.- Spatio-temporal variances of Covid-19 active cases and genomic sequence data in India.- Significance of Thermoelectric Cooler approach of Atmospheric Water Generator for solving fresh water scarcity.- Fabrication of Energy Potent Data Center using

Energy Efficiency Metrics.- Performance Anomaly and Change Point Detection for Large-Scale System Management.- Artificial Intelligence Driven Monitoring, Prediction and Recommendation System (AIM-PRISM).- Financial Forecasting of Stock Market usingSentiment Analysis and Data Analytics.- A Survey on

Learning-Based Gait Recognition for Human Authentication in Smart Cities.- Micro-Arterial Flow Simulation for Fluid Dynamics: A Review.- Hip-Hop Culture incites Criminal Behavior: A Deep Learning Study.- Complex Contourlet Transform Domain Based Image Compression.- HWYL: An Edutainment Based Mobile

Phone Game Designed to Raise Awareness on Environmental Management.- IoT & AI based Advance LPG System (ALS).- ICT Enabled Automatic Vehicle Theft Detection System at Toll Plaza.- RBJ20 Cryptography Algorithm for Securing Big Data Communication using Wireless Networks.- Decision Tree for Uncerta

in Numerical Data Using Bagging and Boosting.- A Comparative Study on Various Sha

企業ESG永續發展是否為避免經營危機之有效策略？綠色金融效益之分析

為了解決GIS stock的問題，作者蔡哲文 這樣論述：

謝辭 i摘要 iiAbstract iii目次 v表目錄 viii圖目錄 ix第一章 緒論 11.1研究背景及動機 11.2研究目的 51.3研究流程 7第二章 文獻探討 82.1企業ESG永續發展相關文獻 82.1.1環境保護 92.1.2社會責任 102.1.3公司治理 112.2綠色金融 132.3資源基礎理論 142.4利害關係人理論 162.5企業ESG永續發展績效與信用風險評等 182.6企業ESG永續發展績效與財務危機 192.7研究假說發展 22第三章 研究方法 253.1研究樣本與期間 253.2資料來源 273.3研究架構

283.4研究變數 293.4.1應變數：信用風險評等與財務危機 293.4.2自變數：企業ESG永續發展績效 293.4.3控制變數 313.5實證模型 333.5.1企業ESG永續發展績效對信用風險評等之影響 333.5.2企業ESG永續發展績效對財務危機之影響 343.6資料分析方法 353.6.1敘述性統計 363.6.2相關係數統計 363.6.3多元迴歸分析 363.6.4羅吉斯迴歸分析 37第四章 實證結果分析 384.1敘述性統計量 384.2相關係數統計 414.3多元迴歸實證結果 454.3.1迴歸模型共線性檢定 454.3.2迴歸模型內

生性檢定 464.3.3檢定企業ESG永續發展對信用風險評等之影響 484.4羅吉斯迴歸實證結果 50第五章 結論與建議 535.1研究結論 535.2政策建議 555.3理論貢獻與實務意涵 565.4研究限制與未來研究建議 57參考文獻 58附錄 67