图书简介
This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics,and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management,and business analytics, it exploresthedevelopment of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performanceand provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards,time series-basedanalysis using charts, and dashboards.In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT,andIntuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.
Investing Data with Machine Learning using Python.- Probabilistic Assessment of Complex System with Two Subsystems in Series Arrangement with Multi Types Failure and Two Types of Repair using Copula.- \"Recognition and Optimizing Process Lagging Indicators during Software Development\".- Risk and Safety Analysis of Warships Operational Lifetime Defects.- Facebook Data Breach: A Systematic Review of its Consequences on Consumers’ Behaviour Towards Advertising.- Fuzzy DEMATEL Approach to Identify the Factors Influencing Efficiency of Indian Retail Websites.- \"Application of Statistical Techniques in Project Monitoring and Control\".- Sensor Based Smart Agriculture in India.- \"Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments\".- \"Improving the Quality of Customer Service of Financial Institutions: the Implementation of Challenger Banks\".- \"Corporate Image Building in the Indian IT Sector: Conceptualizing through HR Practices\".- Vague Reliability Analysis of Standby Systems with an (N+1) Units.- \"Experimental study for MRR and TWR on Machining of Inconel 718 using ZNC EDM\".- \"Blind Quantitative Steganalysis using CNN –Long Short Term Memory Architecture\".- Performance of Autoregressive Tree model in Forecasting Cancer Patients.- Developing a Usage Space Dimension Model to Investigate Influence of Intention to use on Actual Usage of Mobile Phones.- \"Examining the Relationship Between Customer Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce\".- Smart Industrial Packaging and Sorting System.- Credentials Safety and System Security Pay-off and Tradeoff: Comfort Level Security Assurance Framework.- A Study of Microfinance on Sustainable Development.- \"Development of Decision Support System for a Paper Making Unit of a Paper Plant using Genetic Algorithm Technique\".- \"The Challenge of Big Data in Official Statistics in India\".- CUDA Accelerated HAPO (C-HAPO) Algorithm for Fast Responses in Vehicular Ad-Hoc Networks.- \"A Survey of Portfolio Optimization with Emphasis on Investments made by Housewives in Popular Portfolios\".- \"Single Vacation Policy for Discrete-time Retrial Queue with Two Types of Customers\".- \"Intuitionistic Fuzzy Hybrid Multi Criteria Decision Making Approach with TOPSIS Method using Entropy Measure for Weighting Criteria\".- Dynamic Analysis of Prey-Predator Model with Harvesting Prey Under the Effect of Pollution and Disease in Prey Species.- \"Univariate and Multivariate Process Capability Indices – Measures of Process Performance – A Case Study\".- \"Improving Customer Satisfaction through Reduction in Post Release Defect Density (PRDD)\".- \"An Architecture for Data Unification in E-commerce using Graph\".- \"Study on Accident Data Recording Variables in Europe, USA & India\".- Improving The QFD Methodology.- Software Defect Prediction based on Selected Features using Neural Network and Decision Tree.- Testing Effort Dependent Software Reliability Assessment Integrating Change Point, Imperfect Debugging and FRF.- \"Assessing the Severity of Software Bug using Neural Network\".- Optimal Refill Policy for New Product and Optimal Take Back Quantity of Used Product with Deteriorating Items Under Inflation and Lead Time.- Blockchain Based Social Network Infrastructure.- \"Performance Analysis of an Active-Standby Embedded Cluster System with Software Rejuvenation, Fault Coverage and Reboot\".- \"Analysis of Jeffcott Rotor and Rotor with Disk Using Xlrotor\".- Foodie: An Automated Food Ordering System.- Prioritization of Different types of Software Vulnerabilities using Structural Equation Modelling.- Fog-Based Internet of Things Security Issues.- Estimation of Fatigue life of PLCC Solder Joints Under Vibration Loading.
Trade Policy 买家须知
- 关于产品:
- ● 正版保障:本网站隶属于中国国际图书贸易集团公司,确保所有图书都是100%正版。
- ● 环保纸张:进口图书大多使用的都是环保轻型张,颜色偏黄,重量比较轻。
- ● 毛边版:即书翻页的地方,故意做成了参差不齐的样子,一般为精装版,更具收藏价值。
关于退换货:
- 由于预订产品的特殊性,采购订单正式发订后,买方不得无故取消全部或部分产品的订购。
- 由于进口图书的特殊性,发生以下情况的,请直接拒收货物,由快递返回:
- ● 外包装破损/发错货/少发货/图书外观破损/图书配件不全(例如:光盘等)
并请在工作日通过电话400-008-1110联系我们。
- 签收后,如发生以下情况,请在签收后的5个工作日内联系客服办理退换货:
- ● 缺页/错页/错印/脱线
关于发货时间:
- 一般情况下:
- ●【现货】 下单后48小时内由北京(库房)发出快递。
- ●【预订】【预售】下单后国外发货,到货时间预计5-8周左右,店铺默认中通快递,如需顺丰快递邮费到付。
- ● 需要开具发票的客户,发货时间可能在上述基础上再延后1-2个工作日(紧急发票需求,请联系010-68433105/3213);
- ● 如遇其他特殊原因,对发货时间有影响的,我们会第一时间在网站公告,敬请留意。
关于到货时间:
- 由于进口图书入境入库后,都是委托第三方快递发货,所以我们只能保证在规定时间内发出,但无法为您保证确切的到货时间。
- ● 主要城市一般2-4天
- ● 偏远地区一般4-7天
关于接听咨询电话的时间:
- 010-68433105/3213正常接听咨询电话的时间为:周一至周五上午8:30~下午5:00,周六、日及法定节假日休息,将无法接听来电,敬请谅解。
- 其它时间您也可以通过邮件联系我们:customer@readgo.cn,工作日会优先处理。
关于快递:
- ● 已付款订单:主要由中通、宅急送负责派送,订单进度查询请拨打010-68433105/3213。
本书暂无推荐
本书暂无推荐