Data Mining: Mining Social Media Data to Build a Better Business

Data Mining Mining Social Media Data to Build a Better Business On average large companies have corporate accounts on various social networks and the data they collect is exploding and each year Sound vaguely familiar This practical book written from a busin

  • Title: Data Mining: Mining Social Media Data to Build a Better Business
  • Author: Lutz Finger Soumitra Dutta
  • ISBN: 9781449336752
  • Page: 404
  • Format: Hardcover
  • On average, large companies have 178 corporate accounts on various social networks, and the data they collect is exploding and each year Sound vaguely familiar This practical book written from a business rather than a technical perspective shows you how to mine social media data and apply useful analytics to business planning.Every day, your customers, employeeOn average, large companies have 178 corporate accounts on various social networks, and the data they collect is exploding and each year Sound vaguely familiar This practical book written from a business rather than a technical perspective shows you how to mine social media data and apply useful analytics to business planning.Every day, your customers, employees, and stakeholders comment on your company, your products, your brands, and other issues How can you analyze this information and put it to work Authors Micha Gorelick and Andy Terrel have helped large international organizations use analytics for core functions beyond marketing, such as customer care and product development.With this book, you will Learn how to achieve business goals by creating appropriate measures in social mediaExamine real world case studies that demonstrate how social media analysis was applied to a particular business needDiscover state of the art analysis tools and their potential limitationsMake sense of your company s social media data with Data Mining.

    Data mining Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information with intelligent methods from a data set and transform the information into a comprehensible structure for Text Mining RDataMining R and Data Mining text mining of Twitter data with R This page shows an example on text mining of Twitter data with R packages twitteR, tm and wordcloud.Package twitteR provides access to Twitter data, tm provides functions for text mining, and wordcloud visualizes the result with a word cloud If you have no access to Twitter, the tweets data can be downloaded as file rdmTweets.RData at the Data page, and How can you use data analytics in mining MINING While the mining industry is not new to the world of numbers, miners are yet to tap into the complete potential of numbers. RDataMining R and Data Mining Examples, documents and resources on Data Mining with R, incl decision trees, clustering, outlier detection, time series analysis, association rules, text mining and social network analysis. Market Data Metal Prices and World Mining Markets The latest data and charts for metal and commodity prices, stock exchange indexes, commodity warehouse levels and commodity price ratios. UT Data Mining Utah Department of Natural Resources Division of Oil, Gas and Mining UDOGM Log In Log Out How To Data Mine Data Mining Tools And Techniques Data Mining Machine Learning Data Mining refers to a process by which patterns are extracted from data Such patterns often provide insights into relationships that can be Process Mining Data science in Action Coursera Process mining is the missing link between model based process analysis and data oriented analysis techniques Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Mining of Massive Datasets Big data is transforming the world Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them. Data Mining in the KDD Environment Blog news Modified approaches to analyse the data still roughly follow the original proposal Particularly vendors have recognized that only a systematic approach leads to successful data mining.

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      Posted by:Lutz Finger Soumitra Dutta
      Published :2018-012-24T00:08:56+00:00

    About “Lutz Finger Soumitra Dutta”

    1. Lutz Finger Soumitra Dutta

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