標題: Titlebook: R for Business Analytics; A Ohri Book 2013 Springer Science+Business Media New York 2013 Business Analytics.Data Mining.Data Visualization [打印本頁] 作者: PLY 時間: 2025-3-21 19:53
書目名稱R for Business Analytics影響因子(影響力)
書目名稱R for Business Analytics影響因子(影響力)學科排名
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書目名稱R for Business Analytics網(wǎng)絡(luò)公開度學科排名
書目名稱R for Business Analytics被引頻次
書目名稱R for Business Analytics被引頻次學科排名
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書目名稱R for Business Analytics年度引用學科排名
書目名稱R for Business Analytics讀者反饋
書目名稱R for Business Analytics讀者反饋學科排名
作者: 思想 時間: 2025-3-21 21:04
A. Ohriof electric vehicles may change substantially the shape of the system demand curve and can influence the determination of the generation mix of future power systems. The model described in this chapter considers the possibility of using financial incentives to modify the consumption patterns of elec作者: 草率女 時間: 2025-3-22 01:17
A. Ohrils from both operating and planning points of view.Utilises .Power System Operation and Planning under Uncertainty .provides the mathematical models and tools needed to plan and operate future power systems. It discusses the challenging task of the integration of a high penetration of renewable ener作者: bisphosphonate 時間: 2025-3-22 05:39
A. Ohriof electric vehicles may change substantially the shape of the system demand curve and can influence the determination of the generation mix of future power systems. The model described in this chapter considers the possibility of using financial incentives to modify the consumption patterns of elec作者: effrontery 時間: 2025-3-22 10:04
A. Ohrion. The number of vehicles have grown significantly in recent years. However, in order to progress in the EV industry, it is essential that we create sufficient infrastructure to supply the EVs’ batteries. The main challenges in the development of EVs are the long charging period of batteries and th作者: 歪曲道理 時間: 2025-3-22 13:29
A. Ohris (EV) are promising technology that provides multiple advantages for both utility and consumers. One of the main challenges of EVs is charging management, which effects on efficiency and popularity of EVs operation. For handling this issue, a new concept named battery swapping station (BSS) for mor作者: ORBIT 時間: 2025-3-22 20:35
A. Ohristudies.Discusses key developments in intelligent vehicle te?.This book provides a systematic assessment of the performance of electric and hybrid buses in urban areas on a daily basis and presents a complete set of technical scenarios to promote their efficient exploitation. It will also help reade作者: REIGN 時間: 2025-3-22 23:09 作者: Between 時間: 2025-3-23 02:35 作者: 帶來 時間: 2025-3-23 07:35 作者: Anal-Canal 時間: 2025-3-23 09:58 作者: 眨眼 時間: 2025-3-23 17:33
A. Ohrielopmental paths are aligned with the requirements of the applications of these systems. A detailed understanding of technical characteristics and cost considerations is provided in this paper for various battery chemistries: contemporary, vintage, and prospective. A clear understanding of battery c作者: 障礙 時間: 2025-3-23 20:23
A. Ohrie field.Details infrastructure needs to realize benefits forThis volume of "Encyclopedia of Sustainability Science and Technology, Second Edition," covers the electrification of vehicles, which is key to a sustainable future of transportation in both light-duty and heavy-duty vehicle sectors to addr作者: Decline 時間: 2025-3-24 00:28 作者: Deceit 時間: 2025-3-24 04:34
elopmental paths are aligned with the requirements of the applications of these systems. A detailed understanding of technical characteristics and cost considerations is provided in this paper for various battery chemistries: contemporary, vintage, and prospective. A clear understanding of battery c作者: 卜聞 時間: 2025-3-24 10:17 作者: Trabeculoplasty 時間: 2025-3-24 11:54 作者: 啤酒 時間: 2025-3-24 15:33
A. Ohrihnology improvement and economies of scale are needed to compete against incumbent technologies and to realize their benefits in the marketplace. Significant infrastructure development is needed in the case of 978-1-0716-1492-1Series ISSN 2629-2378 Series E-ISSN 2629-2386 作者: 縮短 時間: 2025-3-24 19:32
A. Ohrihnology improvement and economies of scale are needed to compete against incumbent technologies and to realize their benefits in the marketplace. Significant infrastructure development is needed in the case of 978-1-0716-1492-1Series ISSN 2629-2378 Series E-ISSN 2629-2386 作者: Morphine 時間: 2025-3-25 02:22 作者: 放肆的你 時間: 2025-3-25 07:09 作者: 清楚說話 時間: 2025-3-25 10:07 作者: 引水渠 時間: 2025-3-25 15:22 作者: 自愛 時間: 2025-3-25 16:12
A. Ohrilp resolve...The models, tools and techniques described in this book are of interest for researches of energy systems, professionals working as power system planners or operators, and for graduate students in power engineering and operations research..978-3-031-09081-3978-3-031-09079-0Series ISSN 1865-3529 Series E-ISSN 1865-3537 作者: Diastole 時間: 2025-3-25 21:25
A. Ohrie control of the charge/discharge of their vehicles to the system operator. The formulation of these curves implies the use of binary variables. The model analyzed in this chapter considers uncertainties such as the annual demand growth, the capital costs of generating and storage units and the numb作者: syring 時間: 2025-3-26 02:53
A. Ohri as well as the consumers..Nevertheless, not only incorrect charging operations at stations increase unnecessary charging costs, but also it leads to reduce the reliability of the power grid. Accordingly, it is essential to obtain an appropriate policy for the optimal operation of EVBRSs for maximiz作者: LIKEN 時間: 2025-3-26 06:53 作者: 指耕作 時間: 2025-3-26 11:44
A. Ohriedure is repeated until convergence is reached. For the voltage-driven mode, the procedure starts with a time-harmonic solution generating a first estimate of both stator and rotor currents. During the time-harmonic solution, end effects of the motor are taken into account. This is done by linking t作者: JADED 時間: 2025-3-26 13:25
A. Ohribefore 1900 the limitations of the batteries to drive them have not enabled them to compete in the general consumer’s market with the internal combustion engine. Automotive parts are limited by space and weight. Therefore EVs and hybrid electric vehicles (HEVs) require a battery with high energy den作者: Rustproof 時間: 2025-3-26 18:57
A. Ohribefore 1900 the limitations of the batteries to drive them have not enabled them to compete in the general consumer’s market with the internal combustion engine. Automotive parts are limited by space and weight. Therefore EVs and hybrid electric vehicles (HEVs) require a battery with high energy den作者: 挫敗 時間: 2025-3-27 00:14 作者: Vertical 時間: 2025-3-27 02:43
before 1900 the limitations of the batteries to drive them have not enabled them to compete in the general consumer’s market with the internal combustion engine. Automotive parts are limited by space and weight. Therefore EVs and hybrid electric vehicles (HEVs) require a battery with high energy den作者: 忙碌 時間: 2025-3-27 05:32 作者: GLOOM 時間: 2025-3-27 10:49 作者: Critical 時間: 2025-3-27 13:44
Exploring Data,t the process of looking at slices of data for generating various insights. We will emphasize the need for data visualization both as an acknowledgement of growing demands of data volume and easy understandability by business audiences. The fact that R currently has one of the most advanced graphica作者: obscurity 時間: 2025-3-27 19:53
Building Regression Models, goods and services. Within the R Project, regression packages are shown in the documentation in both the Econometrics view—.—and the Finance view. A basic summary of all the R functions used for building regression models can be seen at .. A very good textbook on the basics of regression is . by Ju作者: Mettle 時間: 2025-3-27 23:13
Clustering and Data Segmentation,ging to one group or cluster are more similar to each other and more different from objects in another group or cluster. Clustering is used in business analytics to identify groups of customers that can be targeted with similar products, to understand products and markets, and basically to reduce da作者: 鴕鳥 時間: 2025-3-28 05:52
Optimizing R Code,nalyst, well-designed GUID tools that are stable to use, pull data and models, and report them are essential, and all these are available within various R subcomponents and packages. This chapter is aimed at analysts wishing to tweak their overall R experience by measuring R performance and improvin作者: 頭盔 時間: 2025-3-28 10:07
, references, interviews and useful links.Background informa.R for Business Analytics. looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.? With this information the reader can select the packages tha作者: 流動才波動 時間: 2025-3-28 13:42
Exploring Data,nt of growing demands of data volume and easy understandability by business audiences. The fact that R currently has one of the most advanced graphical libraries also helps. We will be using basic graphical capabilities but will also briefly touch on advanced customization using the acclaimed ggplot2 package.作者: 愛管閑事 時間: 2025-3-28 16:19 作者: ABYSS 時間: 2025-3-28 20:33 作者: 現(xiàn)代 時間: 2025-3-28 23:21
Manipulating Data,s associated with it. In the case of business analytics data, these challenges or constraints can have a marked effect on the quality and timeliness of the analysis as well as the expected versus actual payoff from the analytical results.作者: pus840 時間: 2025-3-29 06:22 作者: 憤慨一下 時間: 2025-3-29 07:28 作者: 愛了嗎 時間: 2025-3-29 13:46
R Interfaces,earning to perform tasks in R by using a GUI instead of the command line. In addition, we will learn how to interface to R from other software as well as use it from an Amazon cloud computing environment. We will also discuss the relative merits and demerits of various R interfaces.作者: Etymology 時間: 2025-3-29 18:23 作者: indices 時間: 2025-3-29 21:51
Why R,In this chapter we introduce the reader to R, discuss reasons for choosing R as an analytical and not just a statistical computing platform, make comparisons with other analytical software, and present some broad costs and benefits in using R in a business environment.作者: Apraxia 時間: 2025-3-30 03:56 作者: Pruritus 時間: 2025-3-30 04:28
Data Mining Using R,Data mining is a commonly used term that is interchangeably used with business analytics, but it is not exactly the same.
