Data Mining Your Website
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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
Web Data Mining
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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-30
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 2007-05-30 with Computers categories.
This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing 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. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.
Data Mining The Web
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Author : Zdravko Markov
language : en
Publisher: John Wiley & Sons
Release Date : 2007-04-06
Data Mining The Web written by Zdravko Markov 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 2007-04-06 with Computers categories.
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
Mining The World Wide Web
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Author : George Chang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mining The World Wide Web written by George Chang 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 2012-12-06 with Computers categories.
Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.
Mining The Web
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Author : Soumen Chakrabarti
language : en
Publisher: Morgan Kaufmann
Release Date : 2002-10-09
Mining The Web written by Soumen Chakrabarti and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-09 with Computers categories.
The definitive book on mining the Web from the preeminent authority.
Mining The Social Web
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Author : Matthew A. Russell
language : en
Publisher: O'Reilly Media
Release Date : 2018-12-04
Mining The Social Web written by Matthew A. Russell and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-04 with Computers categories.
Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
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.
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
Mining The Social Web
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Author : Matthew Russell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-01-21
Mining The Social Web written by Matthew Russell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-21 with Computers categories.
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
Mining The Social Web
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Author : Matthew A. Russell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-04
Mining The Social Web written by Matthew A. Russell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-04 with Computers categories.
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs. Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.