Webmining For Profit
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Webmining For Profit
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Author : Jesus Mena
language : en
Publisher: BNA Books
Release Date : 2001-09-12
Webmining For Profit written by Jesus Mena and has been published by BNA Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-09-12 with Computers categories.
WebMining for Profitability provides a central reference to the components, issues, techniques and technologies for aggregating, enhancing, mining, and leveraging web data for personalization and profitability. This is the only book that provides guidance for categorizing the dozens of personalization products and services in the market or assessing their effectiveness. The book has a companion website that will be continuously updated. The site will enable readers to chat, mail sections to colleagues, and register for a newsletter on new profitability products, services, upgrades, announcements, and profitability case studies. This is a powerful manual for e-businesses on how to achieve profitability by leveraging web analytic tools, techniques, services, and strategies. Appeals to anyone faced with the daunting task of selecting the right personalization product or service Provides insight into building sticky and profitable web sites Author has provided data mining consulting services to Fortune 100 corporations
Data Mining Your Website
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Author : Jesus Mena
language : en
Publisher: Digital Press
Release Date : 1999-07-15
Data Mining Your Website written by Jesus Mena and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-07-15 with Business & Economics categories.
Turn Web data into knowledge about your customers. This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing information-usage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want. Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers. Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes. The first book to apply data mining specifically to e-commerce Learn effective methods for gathering, managing, and mining Web customer information Use data mining to profile customers and create personalized e-commerce programs
Cryptocurrency Mining For Dummies
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Author : Peter Kent
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-05
Cryptocurrency Mining For Dummies written by Peter Kent and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-05 with Computers categories.
Find out the essentials of cryptocurrency mining The cryptocurrency phenomenon has sparked a new opportunity mine for virtual gold, kind of like the prospectors of a couple centuries back. This time around, you need some tech know-how to get into the cryptocurrency mining game. This book shares the insight of two cryptocurrency insiders as they break down the necessary hardware, software, and strategies to mine Bitcoin, Ethereum, Monero, LiteCoin, and Dash. They also provide insight on how to stay ahead of the curve to maximize your return on investment. Get the tech tools and know-how to start mining Pick the best cryptocurrency to return your investment Apply a sound strategy to stay ahead of the game Find cryptocurrency value at the source From the basics of cryptocurrency and blockchain to selecting the best currency to mine, this easy-to-access book makes it easy to get started today!
Mining The Web
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Author : Gordon S. Linoff
language : en
Publisher: John Wiley & Sons
Release Date : 2001
Mining The Web written by Gordon S. Linoff and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Introduces business and technical managers to the exciting new frontier in database technology Web sites gather a lot of detailed information about customers. Unfortunately, most companies lack the means to use that information to improve their marketing and customer support functions. Considered by most experts to be the new frontier in the database and data warehousing fields, Web mining solves that problem. Coauthored by two bestselling data mining authors, Mining the Web explains, for corporate decision makers, IT managers, and database marketers, how data mining principles and techniques can be applied to various types of Web sites. More importantly, they describe techniques for using the resulting goldmine of business data to develop more effective advertising campaigns and better customer service.
Monetizing Your Data
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Author : Andrew Roman Wells
language : en
Publisher: John Wiley & Sons
Release Date : 2017-03-13
Monetizing Your Data written by Andrew Roman Wells and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-13 with Business & Economics categories.
Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way. This book shows you how to use your data to: Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.
Ordinary Shares Exotic Methods
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Author : Francis Eng-Hock Tay
language : en
Publisher: World Scientific
Release Date : 2003-01-29
Ordinary Shares Exotic Methods written by Francis Eng-Hock Tay and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-29 with Business & Economics categories.
Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment. In this book, particular aspects of the general method are used to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three — uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices. Contents: Financial Forecasting Problem and Data Mining TechniquesGenetic Algorithms and Genetic NichingPortfolio Selection and Optimization Using Genetic OperatorsThe Rough Sets Theory Basics and Its Applications in Economic and Financial ForecastingTime Series Forecasting Using Rough Sets TheoryA Review of Support Vector Machines in Regression EstimationApplication of Support Vector Machines in Financial Time Series ForecastingOther Methods and Their Applications Readership: Researchers and practitioners in soft computing and artificial intelligence, as well as graduate students in related areas. Keywords:
Advances In Web Mining And Web Usage Analysis
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Author : Olfa Nasraoui
language : en
Publisher: Springer
Release Date : 2007-12-07
Advances In Web Mining And Web Usage Analysis written by Olfa Nasraoui and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-07 with Computers categories.
Web mining and usage is a fast-moving and hugely important field of study. This new Springer text constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Mining Web Data, WEBKDD 2006, held in Philadelphia, USA in 2006. The 13 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. They cover a huge range of relevant topics.
Advances In Web Mining And Web Usage Analysis
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Author : Bamshad Mobasher
language : en
Publisher: Springer
Release Date : 2006-10-17
Advances In Web Mining And Web Usage Analysis written by Bamshad Mobasher and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-17 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Mining Web Data, WEBKDD 2004, held in Seattle, WA, USA in August 2004 in conjunction with the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2004. The 11 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book.
Mining The Web
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Author : Soumen Chakrabarti
language : en
Publisher: Elsevier
Release Date : 2002-10-16
Mining The Web written by Soumen Chakrabarti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-16 with Computers categories.
Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues—including Web crawling and indexing—Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work—painstaking, critical, and forward-looking—readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort. * A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining. * Details the special challenges associated with analyzing unstructured and semi-structured data. * Looks at how classical Information Retrieval techniques have been modified for use with Web data. * Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning. * Analyzes current applications for resource discovery and social network analysis. * An excellent way to introduce students to especially vital applications of data mining and machine learning technology.
Web Data Mining
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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-25
Web Data Mining written by Bing Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-25 with Computers categories.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.