Mining The World Wide Web PDF Download
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| Author | : George Chang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 180 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461516390 |
Download Mining the World Wide Web Book in PDF, ePub and Kindle
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.
| Author | : Soumen Chakrabarti |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 366 |
| Release | : 2002-10-09 |
| Genre | : Computers |
| ISBN | : 1558607544 |
Download Mining the Web Book in PDF, ePub and Kindle
The definitive book on mining the Web from the preeminent authority.
| Author | : David C. Wyld |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 677 |
| Release | : 2011-06-30 |
| Genre | : Computers |
| ISBN | : 364222539X |
Download Advances in Network Security and Applications Book in PDF, ePub and Kindle
This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.
| Author | : Anthony Scime |
| Publisher | : IGI Global |
| Total Pages | : 454 |
| Release | : 2005-01-01 |
| Genre | : Computers |
| ISBN | : 9781591404149 |
Download Web Mining Book in PDF, ePub and Kindle
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.
| Author | : Zdravko Markov |
| Publisher | : John Wiley & Sons |
| Total Pages | : 236 |
| Release | : 2007-04-06 |
| Genre | : Computers |
| ISBN | : 0470108088 |
Download Data Mining the Web Book in PDF, ePub and Kindle
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).
| Author | : Debajyoti Mukhopadhyay |
| Publisher | : Springer |
| Total Pages | : 166 |
| Release | : 2018-12-12 |
| Genre | : Computers |
| ISBN | : 9811330530 |
Download Web Searching and Mining Book in PDF, ePub and Kindle
This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.
| Author | : Bing Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 637 |
| Release | : 2011-06-25 |
| Genre | : Computers |
| ISBN | : 3642194605 |
Download Web Data Mining Book in PDF, ePub and Kindle
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.
| Author | : Brian Clegg |
| Publisher | : Routledge |
| Total Pages | : 151 |
| Release | : 2005-10-20 |
| Genre | : Education |
| ISBN | : 1135726485 |
Download The Professional's Guide to Mining the Internet Book in PDF, ePub and Kindle
Whatever is needed, from in-depth research material for a report or academic paper, to the telephone number of a company on the other side of the world or what is showing at the local cinema, this guide aims to help readers find the answer on the internet, faster and more easily.
| Author | : |
| Publisher | : |
| Total Pages | : 168 |
| Release | : 2001 |
| Genre | : Data mining |
| ISBN | : |
Download Mining the World Wide Web Book in PDF, ePub and Kindle
| Author | : Lam Thuy Vo |
| Publisher | : No Starch Press |
| Total Pages | : 210 |
| Release | : 2019-11-25 |
| Genre | : Computers |
| ISBN | : 1593279167 |
Download Mining Social Media Book in PDF, ePub and Kindle
BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
