The Professional's Guide to Mining the Internet PDF Download
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Author: Brian Clegg
Publisher: Psychology Press
ISBN: 0749436557
Category : Business & Economics
Languages : en
Pages : 151
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Book Description
First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
Author: Brian Clegg
Publisher: Psychology Press
ISBN: 0749436557
Category : Business & Economics
Languages : en
Pages : 151
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Book Description
First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
Author: Clegg, Brian
Publisher: Routledge
ISBN: 1135726477
Category : Education
Languages : en
Pages : 151
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Book Description
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: Routledge
ISBN: 9781138419612
Category :
Languages : en
Pages :
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Book Description
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:
Category : Data mining
Languages : en
Pages : 147
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Book Description
Author: George Chang
Publisher: Springer Science & Business Media
ISBN: 9780792373490
Category : Computers
Languages : en
Pages : 192
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Book Description
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: Glenn Hymel
Publisher: Elsevier Health Sciences
ISBN: 0323070493
Category : Medical
Languages : en
Pages : 360
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Book Description
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: Brian Clegg
Publisher: Kogan Page Publishers
ISBN: 9780749438333
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
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:
Publisher: CNET Networks Inc.
ISBN: 9781931490993
Category : Computers
Languages : en
Pages : 244
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Book Description
Author: Matthew Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1449388345
Category : Computers
Languages : en
Pages : 356
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Book Description
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: 1593279167
Category : Computers
Languages : en
Pages : 210
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Book Description
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.
