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Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation
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Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation


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7458.34 руб.

This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.

Giudici Paolo Applied Data Mining for Business and Industry Giudici Paolo Applied Data Mining for Business and Industry
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Giudici Paolo Applied Data Mining for Business and Industry


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14086.7 руб.

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services
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Pushpak Sarkar Data as a Service. A Framework for Providing Reusable Enterprise Data Services


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5070.49 руб.

Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions

Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management
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Victor Rudenno The Mining Valuation Handbook. Mining and Energy Valuation for Investors and Management


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10660.2 руб.

The essential guide to investing in mining opportunities, now in its Fourth Edition A comprehensive guide to mining investment analysis designed for use by financial and mining analysts, executives, and investors, The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management has become an essential resource for assessing the value and investment potential of mining opportunities. Fully revised and updated, this fourth edition of the classic text provides new and up-to-date information to better explain the mysteries surrounding the resources industry. Written by Victor Rudenno, a leading global expert on mining investment analysis and consultant to mining companies, financial bodies, and governments, The Mining Valuation Handbook: Mining and Energy Valuation for Investors and Management, Fourth Edition covers a wide range of essential topics, including: feasibility studies, commodity values and forecasting, classification of resources and reserves, indicative capital and operating costs, valuation and pricing techniques, qualifying risk, the impact of exploration and expansion, and more. Fourth edition of the bestselling text on assessing mining investment opportunities Author Victor Rudenno is a respected global expert on mining investment analysis Key topics, including feasibility studies, valuation techniques, and risk qualification are covered in detail Packed with invaluable mining information for the financial industry and financial information for the mining industry, The Mining Valuation Handbook is the definitive guide to assessing and investing in mining opportunities.

Rick Sweeney Achieving Service-Oriented Architecture. Applying an Enterprise Architecture Approach Rick Sweeney Achieving Service-Oriented Architecture. Applying an Enterprise Architecture Approach
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Rick Sweeney Achieving Service-Oriented Architecture. Applying an Enterprise Architecture Approach


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4124.48 руб.

A complete, comprehensive methodology and framework for adopting and managing a successful service oriented architecture environment Achieving Service-Oriented Architecture helps to set up an SOA Architecture Practice defining the policies, procedures, and standards that apply not just to IT developers but to the entire corporation as it relates to business applications. Why a new architectural approach is necessary for your business to achieve all the value SOA has to offer Focuses on setting up an enterprise architecture practice for service-oriented architecture Discusses the implementation and governance processes for SOA Defines and describes an overall architectural framework for managing SOA assets at an enterprise architecture level Shows how to set up and run an SOA Enterprise Architecture Practice using the methodology and framework presented Defining how an Architecture Practice can transform itself and your corporation to maximize the benefits of the SOA approach, Achieving Service-Oriented Architecture provides a pragmatic enterprise architecture approach and framework for implementing and managing service oriented architecture from a business organization and business practices perspective. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery
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Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery


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12183.09 руб.

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.

Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data
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Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data


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13554.76 руб.

The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

Michael Cartwright Laser Ignition of Energetic Materials Michael Cartwright Laser Ignition of Energetic Materials
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Michael Cartwright Laser Ignition of Energetic Materials


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13844.29 руб.

The book gives an introduction to energetic materials and lasers, properties of such materials and the current methods for initiating energetic materials. The following chapters and sections highlight the properties of lasers, and safety aspects of their application. It covers the properties of in-service energetic materials, and also materials with prospects of being used as insensitive ammunitions in future weapon or missiles systems or as detonators in civilian (mining) applications. Because of the diversity of the topics some sections will naturally separate into different levels of expertise and knowledge.

Robin Qiu G. Service Science. The Foundations of Service Engineering and Management Robin Qiu G. Service Science. The Foundations of Service Engineering and Management
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Robin Qiu G. Service Science. The Foundations of Service Engineering and Management


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9822.62 руб.

Features coverage of the service systems lifecycle, including service marketing, engineering, delivery, quality control, management, and sustainment Featuring an innovative and holistic approach, Service Science: The Foundations of Service Engineering and Management provides a new perspective of service research and practice. The book presents a practical approach to the service systems lifecycle framework, which aids in understanding and capturing market trends; analyzing the design and engineering of service products and delivery networks; executing service operations; and controlling and managing the service lifecycles for competitive advantage. Utilizing a combined theoretical and practical approach to discuss service science, Service Science: The Foundations of Service Engineering and Management also features: Case studies to illustrate how the presented theories and design principles are applied in practice to the definitions of fundamental service laws, including service interaction and socio-technical natures Computational thinking and system modeling such as abstraction, digitalization, holistic perspectives, and analytics Plentiful examples of service organizations such as automobile after-sale services, global project management networks, and express delivery services An interdisciplinary emphasis that includes integrated approaches from the fields of mathematics, engineering, industrial engineering, business, operations research, and management science A detailed analysis of the key concepts and body of knowledge for readers to master the foundations of service management Service Science: The Foundations of Service Engineering and Management is an ideal reference for practitioners in the contemporary service engineering and management field as well as researchers in applied mathematics, statistics, business/management science, operations research, industrial engineering, and economics. The book is also appropriate as a text for upper-undergraduate and graduate-level courses in industrial engineering, operations research, and management science as well as MBA students studying service management.

William Congreve A treatise on the general principles, powers, and facility of application of the Congreve Rocket System, as compared with artillery William Congreve A treatise on the general principles, powers, and facility of application of the Congreve Rocket System, as compared with artillery
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William Congreve A treatise on the general principles, powers, and facility of application of the Congreve Rocket System, as compared with artillery


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0 руб.

Полный вариант заголовка: «A treatise on the general principles, powers, and facility of application of the Congreve Rocket System, as compared with artillery : showing the various applications of this weapon, both for sea and land service, and its different uses in the field and in sieges : illustrated by plates of the principal exercises and cases of actual service : with a demonstration of the comparative economy of the system / by Sir W. Congreve».

Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies
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Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies


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8604.31 руб.

This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described.

Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management
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Gordon Linoff S. Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management


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3807.22 руб.

Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

Ni-Bin Chang Sustainable Solid Waste Management. A Systems Engineering Approach Ni-Bin Chang Sustainable Solid Waste Management. A Systems Engineering Approach
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Ni-Bin Chang Sustainable Solid Waste Management. A Systems Engineering Approach


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11231.68 руб.

This book presents the application of system analysis techniques with case studies to help readers learn how the techniques can be applied, how the problems are solved, and which sustainable management strategies can be reached.

Brian Nejmeh A. Service-Learning in the Computer and Information Sciences. Practical Applications in Engineering Education Brian Nejmeh A. Service-Learning in the Computer and Information Sciences. Practical Applications in Engineering Education
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Brian Nejmeh A. Service-Learning in the Computer and Information Sciences. Practical Applications in Engineering Education


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9670.33 руб.

Offering a truly global perspective, this book serves as a road map for service-learning partnerships between information science and nonprofit organizations. It introduces for the first time an essential framework for service learning in CIS, addressing both the challenges and opportunities of this approach for all stakeholders involved: faculty, students, and community nonprofit organizations (NPOs), both domestic and abroad. This volume outlines numerous examples of successful programs from around the world, presenting practical working models for implementing joint projects between NPOs and academia.

Martin Cole Unlocking Public Value. A New Model For Achieving High Performance In Public Service Organizations Martin Cole Unlocking Public Value. A New Model For Achieving High Performance In Public Service Organizations
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Martin Cole Unlocking Public Value. A New Model For Achieving High Performance In Public Service Organizations


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3807.22 руб.

A new approach to understanding and improving performance and public value This book presents the Public Service Value Model-an innovative, rigorous approach to defining public outcomes and quantifying results-to help readers understand and improve public service delivery. Filled with in-depth insight and expert advice, this guide will arm public service managers-whether in government, nonprofit, or even for-profit organizations-with a practical framework that can be used to define outcomes and manage trade-offs in public service delivery. Martin Cole (Hartford, CT) is Group Chief Executive of Accenture's Government Operating Group. Greg Parston (London, UK) is Executive Director of the Accenture Institute for Public Service Value.

Emmanuel Bertin Architecture and Governance for Communication Services Emmanuel Bertin Architecture and Governance for Communication Services
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Emmanuel Bertin Architecture and Governance for Communication Services


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10075.64 руб.

Communication services are evolving at an unprecedented rate. No longer limited to interpersonal vocal communication, they now integrate functions such as address books, content sharing and messaging. The emergence of social networks – which may also include these features – is an important element of this transformation. Content services are becoming flagship services themselves, and are sometimes paired up with conversation services. The boundaries between different services are becoming less and less distinct. This book meets the need for a better understanding of communication services, and for a general framework of their description. A detailed overview on service architecture in the Telco, Web and IT worlds is presented, offering a roadmap with explanations on how to improve the architecture and governance of communication service architectures by exploiting the syntax and semantics that are common to different services is clearly outlined. This book also responds to recurring questions about service design, such as the functional scope of enablers or SOA (Service Oriented Architecture) services, the relevance of service composition to the user and collaboration between different services in a converged environment. Many concrete examples from telecoms service providers’ operations illustrate these concepts. Contents 1. Describing Service Architectures. 2. Convergence of Service. 3. Building an Architectural Framework for Telecom Services. 4. Modeling and Case Study. 5. Organizational and Software Applications. About the Authors Emmanuel Bertin is senior service architect at Orange Labs in France. He is the author of more than 40 research papers, and holds more than 10 patents in the area of communication services. Noël Crespi worked at Bouygues Telecom, France Telecom R&D, and then at Nortel Networks where he led the Telephony Programme. He is currently Professor and Head of the Service Architecture Laboratory at Institut Mines-Telecom, Telecom SudParis in France and is the author/co-author of more than 160 research papers and 140 contributions in standardization.

Радиоуправляемый катер Fei Lun FT009 Racing Boat 2.4G Радиоуправляемый катер Fei Lun FT009 Racing Boat 2.4G
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Радиоуправляемый катер Fei Lun FT009 Racing Boat 2.4G


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2932.65 руб.

Радиоуправляемый катер Fei Lun High Speed Boat 27Mhz Радиоуправляемый катер Fei Lun High Speed Boat 27Mhz
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Радиоуправляемый катер Fei Lun High Speed Boat 27Mhz


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1391 руб.

Pawel Cichosz Data Mining Algorithms. Explained Using R Pawel Cichosz Data Mining Algorithms. Explained Using R
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Pawel Cichosz Data Mining Algorithms. Explained Using R


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5798.77 руб.

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

Daniel Larose T. Data Mining and Predictive Analytics Daniel Larose T. Data Mining and Predictive Analytics
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Daniel Larose T. Data Mining and Predictive Analytics


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10147.85 руб.

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant.com, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

Mengchu Zhou Business and Scientific Workflows. A Web Service-Oriented Approach Mengchu Zhou Business and Scientific Workflows. A Web Service-Oriented Approach
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Mengchu Zhou Business and Scientific Workflows. A Web Service-Oriented Approach


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9278.58 руб.

Focuses on how to use web service computing and service-based workflow technologies to develop timely, effective workflows for both business and scientific fields Utilizing web computing and Service-Oriented Architecture (SOA), Business and Scientific Workflows: A Web Service–Oriented Approach focuses on how to design, analyze, and deploy web service–based workflows for both business and scientific applications in many areas of healthcare and biomedicine. It also discusses and presents the recent research and development results. This informative reference features application scenarios that include healthcare and biomedical applications, such as personalized healthcare processing, DNA sequence data processing, and electrocardiogram wave analysis, and presents: Updated research and development results on the composition technologies of web services for ever-sophisticated service requirements from various users and communities Fundamental methods such as Petri nets and social network analysis to advance the theory and applications of workflow design and web service composition Practical and real applications of the developed theory and methods for such platforms as personalized healthcare and Biomedical Informatics Grids The authors' efforts on advancing service composition methods for both business and scientific software systems, with theoretical and empirical contributions With workflow-driven service composition and reuse being a hot topic in both academia and industry, this book is ideal for researchers, engineers, scientists, professionals, and students who work on service computing, software engineering, business and scientific workflow management, the internet, and management information systems (MIS).

Eric Bauer Lean Computing for the Cloud Eric Bauer Lean Computing for the Cloud
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Eric Bauer Lean Computing for the Cloud


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6157.76 руб.

Applies lean manufacturing principles across the cloud service delivery chain to enable application and infrastructure service providers to sustainably achieve the shortest lead time, best quality, and value Applies lean thinking across the cloud service delivery chain to recognize and minimize waste Leverages lessons learned from electric power industry operations to operations of cloud infrastructure Applies insights from just-in-time inventory management to operation of cloud based applications Explains how traditional, Information Technology Infrastructure Library (ITIL) and Enhanced Telecom Operation Map (eTOM) capacity management evolves to lean computing for the cloud

Antonios Chorianopoulos Effective CRM using Predictive Analytics Antonios Chorianopoulos Effective CRM using Predictive Analytics
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Antonios Chorianopoulos Effective CRM using Predictive Analytics


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3961.21 руб.

A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.

Russell Anderson K. Visual Data Mining. The VisMiner Approach Russell Anderson K. Visual Data Mining. The VisMiner Approach
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Russell Anderson K. Visual Data Mining. The VisMiner Approach


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6396.12 руб.

A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. Key features: Presents visual support for all phases of data mining including dataset preparation. Provides a comprehensive set of non-trivial datasets and problems with accompanying software. Features 3-D visualizations of multi-dimensional datasets. Gives support for spatial data analysis with GIS like features. Describes data mining algorithms with guidance on when and how to use. Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice. Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes. In praise of the VisMiner approach: «What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes» —Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA «Students learn best when they are able to visualize relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I.» —Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA


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A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. Key features: Presents visual support for all phases of data mining including dataset preparation. Provides a comprehensive set of non-trivial datasets and problems with accompanying software. Features 3-D visualizations of multi-dimensional datasets. Gives support for spatial data analysis with GIS like features. Describes data mining algorithms with guidance on when and how to use. Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice. Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes. In praise of the VisMiner approach: «What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes» —Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA «Students learn best when they are able to visualize relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I.» —Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA
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