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Author: Ajay Kumar
Publisher:
ISBN: 9781079052442
Category :
Languages : en
Pages : 106
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Book Description
This book "Payment card domain knowledgeCard terminology, processing & security in PCI (Payment Card Industry)" includes all the information of PCI (Payment Card Industry). So we're going to find out how a transaction that you make in-store or online, how that appears on your payment card statements. We're going to look at the data messages exchanged between all the participants in the payment system, and then discover how criminals can take these messages, steal them, and turn them into money. Some of the major topics that we'll cover include: what payment card data moves around the world, what's the point of all the different PCI standards, who cares whether you are compliant, which assessor to use to validate your compliance, how to become a PCI professional. By the end of this book, you will understand how the PCI standards are designed to protect payment card data from criminals. There are no pre-requisites, and from here, you'll be more confident working on payments and PCI projects.
Author: Ajay Kumar
Publisher:
ISBN: 9781079052442
Category :
Languages : en
Pages : 106
Get Book Here
Book Description
This book "Payment card domain knowledgeCard terminology, processing & security in PCI (Payment Card Industry)" includes all the information of PCI (Payment Card Industry). So we're going to find out how a transaction that you make in-store or online, how that appears on your payment card statements. We're going to look at the data messages exchanged between all the participants in the payment system, and then discover how criminals can take these messages, steal them, and turn them into money. Some of the major topics that we'll cover include: what payment card data moves around the world, what's the point of all the different PCI standards, who cares whether you are compliant, which assessor to use to validate your compliance, how to become a PCI professional. By the end of this book, you will understand how the PCI standards are designed to protect payment card data from criminals. There are no pre-requisites, and from here, you'll be more confident working on payments and PCI projects.
Author: Charu C. Aggarwal
Publisher: Springer
ISBN: 3319475789
Category : Computers
Languages : en
Pages : 481
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Book Description
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
Author: Rob Mattison
Publisher: Lulu.com
ISBN: 0557254752
Category : Reference
Languages : en
Pages : 260
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Book Description
The long awaited guide to the practice of modern telco revenue assurance. Ratified by the GRAPA membership and available to the public for the first time. Learn what revenue assurance is, how it is practiced and how to make it more effective.
Author: S. Sumathi
Publisher: Springer
ISBN: 3540343512
Category : Computers
Languages : en
Pages : 836
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Book Description
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.
Author: Yuxiao Dong
Publisher: Springer Nature
ISBN: 3030865142
Category : Computers
Languages : en
Pages : 579
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Book Description
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
Author: Boris Galitsky
Publisher: Springer Nature
ISBN: 3030521672
Category : Computers
Languages : en
Pages : 453
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Book Description
This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Author: Foster Provost
Publisher: "O'Reilly Media, Inc."
ISBN: 144937428X
Category : Computers
Languages : en
Pages : 506
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Book Description
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Author: Dimitris N Chorafas
Publisher: Springer
ISBN: 1349113689
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
This book presents the reader with a complete and comprehensive picture of what is happening today in banks and other financial institutions in terms of expert systems implementation. In addition it helps in refining the reader's thoughts on how to build an environment for the successful implementation of expert systems in banking - and how to sell this concept to management including risks and opportunities.
Author: Irena Koprinska
Publisher: Springer Nature
ISBN: 3031236335
Category : Computers
Languages : en
Pages : 499
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Book Description
This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)
Author: Jolita Ralyté
Publisher: Springer
ISBN: 3319258974
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
This volume constitutes the proceedings of the 8th IFIP WG 8.1 Conference on the Practice of Enterprise Modeling held in November 2015 in Valencia, Spain. The PoEM conference series started in 2008 and aims to provide a forum sharing knowledge and experiences between the academic community and practitioners from industry and the public sector. The 23 short papers accepted were carefully reviewed and selected from 72 submissions and are organized in eight sections on Evolving Enterprises, Securing Enterprises, Making Empirical Studies, Investigating Enterprise Methods, Acquiring User Information, Managing Risks and Threats, Engineering Methods, and Making Decisions in Enterprises.
