Web Mining

DOWNLOAD

Download Web Mining PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Web Mining book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Web Mining

DOWNLOAD
Author : Anthony Scime
language : en
Publisher: IGI Global
Release Date : 2005-01-01

Web Mining written by Anthony Scime and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Computers categories.

Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

Web Data Mining

DOWNLOAD
Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007

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 with Computers categories.

This is the first book to provide such a comprehensive text on Web data mining. 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.

Advances In Web Mining And Web Usage Analysis

DOWNLOAD
Author : Olfa Nasraoui
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-18

Advances In Web Mining And Web Usage Analysis written by Olfa Nasraoui 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 2007-12-18 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.

Web Mining From Web To Semantic Web

DOWNLOAD
Author : Bettina Berendt
language : en
Publisher: Springer
Release Date : 2011-04-05

Web Mining From Web To Semantic Web written by Bettina Berendt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-05 with Computers categories.

In the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: – The Web is a practically in?nite collection of documents: The acquisition and - ploitation of information from these documents asks for intelligent techniques for information categorization, extraction and search, as well as for adaptivity to the interests and background of the organization or person that looks for information. – The Web is a venue for doing business electronically: It is a venue for interaction, information acquisition and service exploitation used by public authorities, n- governmental organizations, communities of interest and private persons. When observed as a venue for the achievement of business goals, a Web presence should be aligned to the objectives of its owner and the requirements of its users. This raises the demand for understandingWeb usage, combining it with other sources of knowledge inside an organization, and deriving lines of action. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtobuildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to enhance the interaction for business and non-business purposes. Semantic Web mining encompasses both aspects from the viewpoint of knowledge discovery.

An Introduction To Web Mining

DOWNLOAD
Author : Ulrich Matter
language : en
Publisher: Springer Nature
Release Date : 2025-09-08

An Introduction To Web Mining written by Ulrich Matter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-08 with Mathematics categories.

This book is devoted to the art and science of web mining — showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching graduate courses on Web Mining and on numerous large-scale research projects in web mining contexts, the author provides clear explanations of key web technologies combined with hands-on R tutorials that work in the real world — and keep working as the web evolves. Through the book, readers will learn how to - scrape static and dynamic/JavaScript-heavy websites - use web APIs for structured data extraction from web sources - build fault-tolerant crawlers and cloud-based scraping pipelines - navigate CAPTCHAs, rate limits, and authentication hurdles - integrate AI-driven tools to speed up every stage of the workflow - apply ethical, legal, and scientific guidelines to their web mining activities Part I explains why web data matters and leads the reader through a first “hello-scrape” in R while introducing HTML, HTTP, and CSS. Part II explores how the modern web works and shows, step by step, how to move from scraping static pages to collecting data from APIs and JavaScript-driven sites. Part III focuses on scaling up: building reliable crawlers, dealing with log-ins and CAPTCHAs, using cloud resources, and adding AI helpers. Part IV looks at ethical, legal, and research standards, offering checklists and case studies, enabling the reader to make responsible choices. Together, these parts give a clear path from small experiments to large-scale projects. This valuable guide is written for a wide readership — from graduate students taking their first steps in data science to seasoned researchers and analysts in economics, social science, business, and public policy. It will be a lasting reference for anyone with an interest in extracting insight from the web — whether working in academia, industry, or the public sector.

Web Data Mining And Applications In Business Intelligence And Counter Terrorism

DOWNLOAD
Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2003-06-26

Web Data Mining And Applications In Business Intelligence And Counter Terrorism written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-26 with Business & Economics categories.

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Web Mining Applications In E Commerce And E Services

DOWNLOAD
Author : I-Hsien Ting
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-24

Web Mining Applications In E Commerce And E Services written by I-Hsien Ting 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 2009-01-24 with Mathematics categories.

Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we also sent invitations to researchers that are famous in this research area to contr- ute for this book. The chapters of this book are introduced as follows: In chapter 1, Peter I.

Web Mining Analyzing Traversal Patterns

DOWNLOAD
Author : Dr. Priyanka Verma
language : en
Publisher: DeepMisti Publication
Release Date : 2024-10-02

Web Mining Analyzing Traversal Patterns written by Dr. Priyanka Verma and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Computers categories.

Web Mining is the application of data mining techniques to discover interesting usage patterns from Web data stored in access logs to understand and better serve the needs of Web-based applications. This book will focus on entire web usage mining process starting with preprocessing of web logs which includes Data cleaning, user and session identification followed by discussion of various techniques like clustering, association used for pattern discovery and analysis. Algorithms for preprocessing stages have been reviewed and implemented in this book. It will also focus on how patterns discovered after mining of web log are useful for web page recommendation, personalization and various other applications. This book will be useful for all those who want to gain insight into entire web usage mining process. Till date there is no complete book which focuses on this entire process.

Web Mining A Synergic Approach Resorting To Classifications And Clustering

DOWNLOAD
Author : V.S. Kumbhar
language : en
Publisher: River Publishers
Release Date : 2016-11-01

Web Mining A Synergic Approach Resorting To Classifications And Clustering written by V.S. Kumbhar and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-01 with Computers categories.

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage data. With the emergence of the web as the predominant and converging platform for communication, business and scholastic information dissemination, especially in the last five years, there are ever increasing research groups working on different aspects of web mining mainly in three directions. These are: mining of web content, web structure and web usage. In this context there are good number of frameworks and benchmarks related to the metrics of the websites which is certainly weighty for B2B, B2C and in general in any e-commerce paradigm. Owing to the popularity of this topic there are few books in the market, dealing more on such performance metrics and other related issues. This book, however, omits all such routine topics and lays more emphasis on the classification and clustering aspects of the websites in order to come out with the true perception of the websites in light of its usability. In nutshell, Web Mining: A Synergic Approach Resorting to Classifications and Clustering showcases an effective methodology for classification and clustering of web sites from their usability point of view. While the clustering and classification is accomplished by using an open source tool WEKA, the basic dataset for the selected websites has been emanated by using a free tool site-analyzer. As a case study, several commercial websites have been analyzed. The dataset preparation using site-analyzer and classification through WEKA by embedding different algorithms is one of the unique selling points of this book. This text projects a complete spectrum of web mining from its very inception through data mining and takes the reader up to the application level. Salient features of the book include: Literature review of research work in the area of web miningBusiness websites domain researched, and data collected using site-analyzer toolAccessibility, design, text, multimedia, and networking are assessedDatasets are filtered further by selecting vital attributes which are Search Engine Optimized for processing using the Weka attributed toolDataset with labels have been classified using J48, RBFNetwork, NaïveBayes, and SMO techniques using WekaA comparative analysis of all classifiers is reported Commercial applications for improving website performance based on SEO is given

Advances In Web Mining And Web Usage Analysis

DOWNLOAD
Author : Bamshad Mobasher
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-23

Advances In Web Mining And Web Usage Analysis written by Bamshad Mobasher 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 2006-10-23 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.