Download or read book Text Mining and its Applications to Intelligence CRM and Knowledge Management written by A. Zanasi and published by WIT Press. This book was released on 2007-09-30 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations generate and collect large volumes of textual data. Unfortunately, many companies are unable to capitalize fully on the value of this data because information implicit within it is not easy to discern. Primarily intended for business analysts and statisticians across multiple industries, this book provides an introduction to the types of problems encountered and current available text mining solutions.
Download or read book Text Mining and its Applications written by Spiros Sirmakessis and published by Springer. This book was released on 2012-12-06 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of text mining is simultaneously a minefield and a gold mine. It is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case based reasoning, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain umesolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identified, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the field of Text Mining -especially in relation to IT- and whether there still remain areas to be covered.
Download or read book Practical Text Mining and Statistical Analysis for Non structured Text Data Applications written by Gary D. Miner and published by Academic Press. This book was released on 2012-01-25 with total page 1095 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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. 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. 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
Download or read book Advances in Information Retrieval written by Mounia Lalmas and published by Springer Science & Business Media. This book was released on 2006-04-05 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th European Conference on Information Retrieval Research, ECIR 2006, held in London, April 2006. The 37 revised full papers and 28 revised poster papers presented are organized in topical sections on formal models, document and query representation and text understanding, topic identification and news retrieval, clustering and classification, refinement and feedback, performance and peer-to-peer networks, Web search, cross-language retrieval, genomic IR, and much more.
Download or read book The Internet Society II written by Konrad Morgan and published by WIT Press. This book was released on 2006 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the technical, social and cultural implications of the emerging Information and communication technologies, addressing the technological and scientific development within education, commerce, governance, and security with a special emphasis on the impact on individuals, culture and society. Bringing together papers from the Second International Conference on Advances in Education, Commerce & Governance: Technology's Impact on Individuals, Culture and Society, the text will be of interest to researchers and academics working in areas related to the social, psychological and cultural impact of information communications technology (ICT). Specifically the book addresses a wide range of topics as diverse as: E-Commerce and E-Governance; Data and Information Privacy; Psychology; Gender; Culture; New Learning.
Download or read book Emerging Technologies of Text Mining Techniques and Applications written by do Prado, Hercules Antonio and published by IGI Global. This book was released on 2007-10-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.
Download or read book Mobile Agents written by A. Genco and published by WIT Press. This book was released on 2008 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile agents are intelligent agents with advanced mobility capabilities. A mobile agent must be provided with the so called strong mobility, a feature which allows it to carry its status with it and accomplish its mission by migrating from site to site in the Internet. A mobile agent can complete in a site what it started in another site.Starting from the mobile agent concept, this book provides the reader with a suitably detailed discussion on mobile agent principles of operation, as for instance, migration, communication, co-ordination, interoperability, fault tolerance and security. As an example of mobile agents application fields, this book discusses how they can be effective in implementing data mining and information retrieval systems.
Download or read book Implementing Data Mining Algorithms in Microsoft SQL Server written by Claudio Luiz Curotto and published by WIT Press. This book was released on 2005 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: "All source codes, as well as data sets used in computational experiments, are included in the accompanying CD-ROM." -- p. [xv]
Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Download or read book Data Mining IX written by A. Zanasi and published by WIT Press. This book was released on 2008 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together papers presented at the ninth International Conference on Data Mining, this book addresses the developments in this important field. Featured topics include: data preparation, clustering technologies, customer relationship management, text mining, web mining, and categorisation methods.
Download or read book Web Data Mining and Applications in Business Intelligence and Counter Terrorism written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2003-06-26 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta
Download or read book Managing Complexity written by G. Rzevski and published by WIT Press. This book was released on 2014-03-25 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.
Download or read book Introduction to Data Mining and Its Applications written by S. Sumathi and published by Springer Science & Business Media. This book was released on 2006-09-26 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.
Download or read book Practical Text Analytics written by Murugan Anandarajan and published by Springer. This book was released on 2018-10-19 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.
Download or read book Text Mining written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Text Mining Text mining, also known as text data mining (TDM) or text analytics, is the technique of extracting useful information from text. Related terms include text data mining (TDM) and text analytics. It is "the discovery by computer of new, previously unknown information by automatically extracting information from various written resources," according to one definition of the term. Websites, books, emails, reviews, and articles are all examples of written materials that may be utilized. Typically, the best way to acquire high-quality information is to construct patterns and trends through the use of methods such as statistical pattern learning. According to Hotho et al. (2005), we are able to differentiate between three distinct perspectives of text mining. These perspectives are information extraction, data mining, and a process known as knowledge discovery in databases (KDD). Text mining often entails the process of structuring the text that is input, determining patterns within the data that has been structured, and then lastly evaluating and interpreting the result of the mining process. When discussing text mining, the term "high quality" typically relates to some combination of the concepts of relevance, novelty, and interest. Text categorization, text clustering, concept/entity extraction, generation of granular taxonomies, sentiment analysis, document summarizing, and entity relation modeling are all examples of typical text mining activities. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Text Mining Chapter 2: Natural Language Processing Chapter 3: Data Mining Chapter 4: Information Extraction Chapter 5: Semantic Similarity Chapter 6: Unstructured Data Chapter 7: Biomedical Text Mining Chapter 8: Sentiment Analysis Chapter 9: Word Embedding Chapter 10: Social Media Mining (II) Answering the public top questions about text mining. (III) Real world examples for the usage of text mining in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of text mining' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of text mining.
Download or read book Text Mining and Analysis written by Dr. Goutam Chakraborty and published by SAS Institute. This book was released on 2014-11-22 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.
Download or read book Handbook of Research on Text and Web Mining Technologies written by Song, Min and published by IGI Global. This book was released on 2008-09-30 with total page 901 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.
