3 edition of Mining social-driven data found in the catalog.
Mining social-driven data
|Series||Rozprawy / Politechnika Poznańska -- 430|
|LC Classifications||TK5105.88817 .M67 2009|
|The Physical Object|
|Pagination||244 p. :|
|Number of Pages||244|
|LC Control Number||2010457852|
Reporting incidents of exposure to pesticides and veterinary medicines
The Media Set (The Media)
Agreements and working arrangements with other international organizations
Patrons of Third Order : St. Louis, King of France : St. Elizabeth , Queen of Hungary
Cobwebs to catch flies
English author dictionaries (the XVIth - the XXIst cc.)
RACER # 3440521
First tunes for recorders or voices with piano, and optional part for percussion and tuned percussion
The Irish community in North West England
study of the teaching and learning of computer literacy/information technology on the Youth Training Scheme
Key issues in development
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data Cited by: 9.
Mining Social Media will show you the kind of data that can be mined on the social web, the insights that can be gained from it, and the limitations of its scope. You'll learn how to find out what kind of data is available on popular social media.
The Best Data Analytics And Big Data Books Of All Time 1) Data Analytics Made Accessible, by A. Maheshwari. Best for: the new intern who has no idea what data science even means. An excerpt from a rave review: “I would definitely recommend this book to everyone interested in learning about Data.
If you come from a computer science profile, the best one is in my opinion: "Introduction to Data Mining" by Tan, Steinbach and Kumar.
It is a book that covers many key topics and is easy to read. Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data.
This expert book Cited by: 4. This is a beautiful list of books that every aspiring data scientist should take note of, and add to his list of learning materials. What books have you read in order to help you begin your own journey in data mining. Social Media Mining in R provides a light theoretical background, comprehensive instruction, and state-of-the-art techniques, and by reading this book, you will be well equipped to embark on your own analyses of social media data.
The book begins by introducing you to the topic of social media data, including its sources and properties. It then explains the basics of R programming in a straightforward, unassuming way. Thereafter, you will be made aware of the inferential dangers associated with social media data and how to avoid them, before describing and implementing a suite of social media mining Cited by:.