Web Data Mining and the Development of Knowledge-Based Decision Support Systems

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Release : 2016-12-21
Genre : Computers
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Book Rating : 789/5 ( reviews)

Web Data Mining and the Development of Knowledge-Based Decision Support Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Web Data Mining and the Development of Knowledge-Based Decision Support Systems write by Sreedhar, G.. This book was released on 2016-12-21. Web Data Mining and the Development of Knowledge-Based Decision Support Systems available in PDF, EPUB and Kindle. Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

Data Mining and Decision Support

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Release : 2012-11-13
Genre : Computers
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Book Rating : 040/5 ( reviews)

Data Mining and Decision Support - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining and Decision Support write by Dunja Mladenic. This book was released on 2012-11-13. Data Mining and Decision Support available in PDF, EPUB and Kindle. Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

Data Mining in E-learning

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Release : 2006
Genre : Computers
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Book Rating : 523/5 ( reviews)

Data Mining in E-learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining in E-learning write by Cristobal Romero. This book was released on 2006. Data Mining in E-learning available in PDF, EPUB and Kindle. The development of e-learning systems, particularly, web-based education systems, has increased exponentially in recent years. Following this line, one of the most promising areas is the application of knowledge extraction. As one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas.

Advances in Data Mining

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Release : 2002-08-21
Genre : Business & Economics
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Book Rating : 166/5 ( reviews)

Advances in Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Data Mining write by Petra Perner. This book was released on 2002-08-21. Advances in Data Mining available in PDF, EPUB and Kindle. This book presents six thoroughly reviewed and revised full papers describing selected projects on data mining. Three papers deal with data mining and e-commerce, focusing on sequence rule analysis, association rule mining and knowledge discovery in databases, and intelligent e-marketing with Web mining. One paper is devoted to experience management and process learning. The last two papers report on medical applications, namely on genomic data processing and on case-based reasoning for prognosis of influenza.

Data Mining: Know It All

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Release : 2008-10-31
Genre : Computers
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Book Rating : 885/5 ( reviews)

Data Mining: Know It All - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining: Know It All write by Soumen Chakrabarti. This book was released on 2008-10-31. Data Mining: Know It All available in PDF, EPUB and Kindle. This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.