Advances In Web Intelligence And Data Mining

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Computational Intelligence In Data Mining

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Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2019-08-17

Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-17 with Technology & Engineering categories.

This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

Advanced Techniques In Web Intelligence 1

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Author : Juan D. Velásquez
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-15

Advanced Techniques In Web Intelligence 1 written by Juan D. Velásquez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-15 with Computers categories.

This book introduces a research applications in Web intelligence. It presents a number of innovative proposals which will contribute to the development of web science and technology for the long-term future, rendering this work a valuable piece of knowledge.

Computational Intelligence In Data Mining

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Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2017-05-19

Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Technology & Engineering categories.

The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science.

Advances In Web Intelligence And Data Mining

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Author : Mark Last
language : en
Publisher: Springer
Release Date : 2006-08-11

Advances In Web Intelligence And Data Mining written by Mark Last and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-11 with Computers categories.

This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students can expect to find many inspiring ideas in this volume.

Strategic Advancements In Utilizing Data Mining And Warehousing Technologies New Concepts And Developments

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Author : Taniar, David
language : en
Publisher: IGI Global
Release Date : 2009-12-31

Strategic Advancements In Utilizing Data Mining And Warehousing Technologies New Concepts And Developments written by Taniar, David and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-31 with Computers categories.

"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.

Advanced Data Mining And Applications

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Author : Reda Alhajj
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-17

Advanced Data Mining And Applications written by Reda Alhajj and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-17 with Computers categories.

This book constitutes the refereed proceedings of the Third International Conference on Advanced Data Mining and Applications, ADMA 2007, held in Harbin, China in August 2007. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining.

Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence

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Author : Trivedi, Shrawan Kumar
language : en
Publisher: IGI Global
Release Date : 2017-02-14

Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence written by Trivedi, Shrawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-14 with Computers categories.

The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Data Mining For Business Analytics

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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-14

Data Mining For Business Analytics written by Galit Shmueli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Mathematics categories.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Advanced Data Mining And Applications

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Author : Xue Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-26

Advanced Data Mining And Applications written by Xue Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-26 with Computers categories.

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Advanced Web And Network Technologies And Applications

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Author : Yoshiharu Ishikawa
language : en
Publisher: Springer
Release Date : 2008-11-05

Advanced Web And Network Technologies And Applications written by Yoshiharu Ishikawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-05 with Computers categories.

This book constitutes the thoroughly refereed joint post-workshop proceedings of three international workshops held in conjunction with the 10th Asia-Pacific Web Conference, APWeb 2008, in Shenyang, China, in April 2008 (see LNCS 4976). The 15 revised full papers presented together with 4 invited papers and 4 keynote lectures were carefully reviewed and selected from numerous submissions. Topics addressed by the workshops are business intelligence and data mining (BIDM 2008), health data management (IWHDM 2008), and data engineering and Web technology research (DeWeb 2008). The papers focus on issues such as Web searching, Web services, database, data mining, bioinformatics, and business intelligence.