The Professionals Guide To Mining The Internet

Author : Clegg, Brian
Publisher : Routledge
ISBN 13 : 1135726477
Total Pages : 151 pages
Book Rating : 4.78/5 ( download)

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Download or read book The Professional's Guide to Mining the Internet written by Clegg, Brian and published by Routledge. This book was released on 2005-10-20 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Brian Clegg
Publisher : Psychology Press
ISBN 13 : 0749436557
Total Pages : 151 pages
Book Rating : 4.51/5 ( download)

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Download or read book The Professional's Guide to Mining the Internet written by Brian Clegg and published by Psychology Press. This book was released on 2001 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.

Author : Brian Clegg
Publisher : Routledge
ISBN 13 : 9781138419612
Total Pages : pages
Book Rating : 4.13/5 ( download)

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Download or read book The Professional's Guide to Mining the Internet written by Brian Clegg and published by Routledge. This book was released on 2017-06-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Brian Clegg
Publisher :
ISBN 13 :
Total Pages : 147 pages
Book Rating : 4.75/5 ( download)

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Download or read book Mining the Internet written by Brian Clegg and published by . This book was released on 1999 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Glenn Hymel
Publisher : Elsevier Health Sciences
ISBN 13 : 0323070493
Total Pages : 360 pages
Book Rating : 4.92/5 ( download)

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Download or read book Research Methods for Massage and Holistic Therapies - E-Book written by Glenn Hymel and published by Elsevier Health Sciences. This book was released on 2005-10-26 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive resource covers a broad array of research strategies available to massage therapists to give them the tools they need to be knowledgeable readers of research literature, as well as active researchers. The primary focus of the book is on the quantitative aspect of research that encompasses the principal types of studies most extensively used in the various health care professions, specifically massage therapy. Extensive coverage is also given to the qualitative and integrative research categories that are progressively gaining recognition among researchers in various health science disciplines and professions. Accommodates the March 2003 mandate from the Commission on Massage Therapy Accreditation (COMTA) that massage therapy schools incorporate into their curricula provisions to ensure a research literate profession. Examples and techniques for interpreting research guide practitioners and students to be knowledgeable readers of massage therapy research, allowing application to practice. Relies heavily on concept maps, flowcharts, tables, and illustrations and excerpts of published studies to augment the book's narrative development of topics by providing pictorial displays and summaries of the material. Literature-based and hypothetical research examples/illustrations from several manual therapy professions employing therapeutic massage make the material pertinent to real-life settings An introductory section at the beginning of each chapter reviews the material covered in the previous chapter and how it relates to the new material. Chapter coverage spans the quantitative, qualitative, and integrative research categories and affiliated research strategies and methods are considered in detail. Review/summary tables give an overview of the narrative development of topics. Boxes provide the essential features of a given topic. Relies on multiple examples of possible research scenarios and illustrative excerpts from the published research literature. Content is cross-referenced for use with the Massage Therapy Foundation's Massage Therapy Research Curriculum Kit to provide both instructors and students in the 6-, 15-, and 24-hour options/levels an extensively-developed resource in one place. Each chapter includes recommended web sites and software application packages for further information.

Author : Matthew Russell
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449388345
Total Pages : 356 pages
Book Rating : 4.48/5 ( download)

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Download or read book Mining the Social Web written by Matthew Russell and published by "O'Reilly Media, Inc.". This book was released on 2011-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Lam Thuy Vo
Publisher : No Starch Press
ISBN 13 : 1593279167
Total Pages : 210 pages
Book Rating : 4.65/5 ( download)

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Download or read book Mining Social Media written by Lam Thuy Vo and published by No Starch Press. This book was released on 2019-11-25 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Brian Clegg
Publisher : Kogan Page Publishers
ISBN 13 : 9780749438333
Total Pages : 260 pages
Book Rating : 4.39/5 ( download)

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Download or read book Crash Course in Creativity written by Brian Clegg and published by Kogan Page Publishers. This book was released on 2002 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: An easy-to-use work of improving creativity fast suitable for individuals or as part of a group. Split into 30 units, this Crash Course in Creativity is designed to be manageable in spare time. The free CD-ROM contains additional techniques and exercises, together with interactive Web links.

Author : Bing Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642194605
Total Pages : 637 pages
Book Rating : 4.03/5 ( download)

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Download or read book Web Data Mining written by Bing Liu and published by Springer Science & Business Media. This book was released on 2011-06-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.07/5 ( download)

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Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data