Practical Text Mining and Statistical Analysis for Non structured Text Data Applications

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. -Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible -Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com -Glossary of text mining terms provided in the appendix

Produk Detail:

  • Author : Gary Miner
  • Publisher : Academic Press
  • Pages : 1053 pages
  • ISBN : 012386979X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKPractical Text Mining and Statistical Analysis for Non structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
  • Author : Gary Miner
  • Publisher : Academic Press
  • Release : 22 May 2022
GET THIS BOOKPractical Text Mining and Statistical Analysis for Non-structured Text Data Applications

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
  • Author : Anonim
  • Publisher : Unknown Publisher
  • Release : 22 May 2022
GET THIS BOOKPractical Text Mining and Statistical Analysis for Non-structured Text Data Applications

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
  • Author : Gary Miner,John Elder IV,Andrew Fast,Thomas Hill,Robert Nisbet,Dursun Delen
  • Publisher : Academic Press
  • Release : 25 January 2012
GET THIS BOOKPractical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
  • Author : Robert Nisbet,Gary Miner,Ken Yale
  • Publisher : Elsevier
  • Release : 09 November 2017
GET THIS BOOKHandbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and

Practical Predictive Analytics and Decisioning Systems for Medicine

Practical Predictive Analytics and Decisioning Systems for Medicine
  • Author : Linda Miner,Pat Bolding,Joseph Hilbe,Mitchell Goldstein,Thomas Hill,Robert Nisbet,Nephi Walton,Gary Miner
  • Publisher : Academic Press
  • Release : 27 September 2014
GET THIS BOOKPractical Predictive Analytics and Decisioning Systems for Medicine

With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety,

Text Mining and Analysis

Text Mining and Analysis
  • Author : Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla
  • Publisher : SAS Institute
  • Release : 22 November 2014
GET THIS BOOKText Mining and Analysis

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This

Practical Text Analytics

Practical Text Analytics
  • Author : Murugan Anandarajan,Chelsey Hill,Thomas Nolan
  • Publisher : Springer
  • Release : 19 October 2018
GET THIS BOOKPractical Text Analytics

This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
  • Author : Robert Nisbet,John Fletcher Elder,Gary Miner
  • Publisher : Academic Press
  • Release : 22 May 2022
GET THIS BOOKHandbook of Statistical Analysis and Data Mining Applications

This comprehensive professional reference for scientists, engineers, and researchers brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined. A glossary of data mining terms provided in the appendix.

Text Mining and Visualization

Text Mining and Visualization
  • Author : Markus Hofmann,Andrew Chisholm
  • Publisher : CRC Press
  • Release : 05 January 2016
GET THIS BOOKText Mining and Visualization

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w

Practical Text Analytics

Practical Text Analytics
  • Author : Steven Struhl
  • Publisher : Kogan Page Publishers
  • Release : 03 July 2015
GET THIS BOOKPractical Text Analytics

In an age where customer opinion and feedback can have an immediate, major effect upon the success of a business or organization, marketers must have the ability to analyze unstructured data in everything from social media and internet reviews to customer surveys and phone logs. Practical Text Analytics is an essential daily reference resource, providing real-world guidance on the effective application of text analytics. The book presents the analysis process so that it is immediately understood by the marketing professionals

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

11th International Conference on Practical Applications of Computational Biology & Bioinformatics
  • Author : Florentino Fdez-Riverola,Mohd Saberi Mohamad,Miguel Rocha,Juan F. De Paz,Tiago Pinto
  • Publisher : Springer
  • Release : 19 June 2017
GET THIS BOOK11th International Conference on Practical Applications of Computational Biology & Bioinformatics

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as

Recent Studies on Risk Analysis and Statistical Modeling

Recent Studies on Risk Analysis and Statistical Modeling
  • Author : Teresa A. Oliveira,Christos P. Kitsos,Amílcar Oliveira,Luís Grilo
  • Publisher : Springer
  • Release : 22 August 2018
GET THIS BOOKRecent Studies on Risk Analysis and Statistical Modeling

This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book

Data Mining in Dynamic Social Networks and Fuzzy Systems

Data Mining in Dynamic Social Networks and Fuzzy Systems
  • Author : Bhatnagar, Vishal
  • Publisher : IGI Global
  • Release : 30 June 2013
GET THIS BOOKData Mining in Dynamic Social Networks and Fuzzy Systems

Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining,

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
  • Author : Bart Baesens,Veronique Van Vlasselaer,Wouter Verbeke
  • Publisher : John Wiley & Sons
  • Release : 27 July 2015
GET THIS BOOKFraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering,

Evolving Technologies for Computing, Communication and Smart World

Evolving Technologies for Computing, Communication and Smart World
  • Author : Pradeep Kumar Singh,Arti Noor,Maheshkumar H. Kolekar,Sudeep Tanwar,Raj K. Bhatnagar,Shaweta Khanna
  • Publisher : Springer Nature
  • Release : 25 November 2020
GET THIS BOOKEvolving Technologies for Computing, Communication and Smart World

This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January–1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event. The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network