Successes and New Directions in Data Mining

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Publisher : IGI Global
ISBN 13 : 1599046458
Total Pages : 386 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Successes and New Directions in Data Mining by : Florent Masseglia

Download or read book Successes and New Directions in Data Mining written by Florent Masseglia and published by IGI Global. This book was released on 2008-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining"--Provided by publisher.

Data Mining

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Publisher :
ISBN 13 :
Total Pages : 582 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Mining by : Hillol Kargupta

Download or read book Data Mining written by Hillol Kargupta and published by . This book was released on 2004 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art survey of recent advances in data mining or knowledge discovery.

Active Mining

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Publisher : IOS Press
ISBN 13 : 9781586032647
Total Pages : 306 pages
Book Rating : 4.0/5 (326 download)

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Book Synopsis Active Mining by : Hiroshi Motoda

Download or read book Active Mining written by Hiroshi Motoda and published by IOS Press. This book was released on 2002 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.

Data Mining: Next Generation Challenges And Future Directions

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Publisher :
ISBN 13 : 9788120327948
Total Pages : 576 pages
Book Rating : 4.3/5 (279 download)

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Book Synopsis Data Mining: Next Generation Challenges And Future Directions by : Hillol Kargupta

Download or read book Data Mining: Next Generation Challenges And Future Directions written by Hillol Kargupta and published by . This book was released on 2004 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations and new directions in data mining

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Publisher :
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4.:/5 (439 download)

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Book Synopsis Foundations and new directions in data mining by : Tsau Y. Lin

Download or read book Foundations and new directions in data mining written by Tsau Y. Lin and published by . This book was released on 2003 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scientific Data Mining and Knowledge Discovery

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Publisher : Springer Science & Business Media
ISBN 13 : 3642027881
Total Pages : 398 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Scientific Data Mining and Knowledge Discovery by : Mohamed Medhat Gaber

Download or read book Scientific Data Mining and Knowledge Discovery written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2009-09-19 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.

Data Mining

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Publisher : John Wiley & Sons
ISBN 13 : 111951598X
Total Pages : 672 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining by : Mehmed Kantardzic

Download or read book Data Mining written by Mehmed Kantardzic and published by John Wiley & Sons. This book was released on 2019-10-21 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.

Spectral Feature Selection for Data Mining (Open Access)

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Publisher : CRC Press
ISBN 13 : 1439862109
Total Pages : 224 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Spectral Feature Selection for Data Mining (Open Access) by : Zheng Alan Zhao

Download or read book Spectral Feature Selection for Data Mining (Open Access) written by Zheng Alan Zhao and published by CRC Press. This book was released on 2011-12-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise

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

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Publisher : IGI Global
ISBN 13 : 1522518789
Total Pages : 427 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Web Data Mining and the Development of Knowledge-Based Decision Support Systems by : Sreedhar, G.

Download or read book Web Data Mining and the Development of Knowledge-Based Decision Support Systems written by Sreedhar, G. and published by IGI Global. This book was released on 2016-12-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Improving Teaching, Learning, Equity, and Success in Gateway Courses

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Publisher : John Wiley & Sons
ISBN 13 : 1119468477
Total Pages : 121 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Improving Teaching, Learning, Equity, and Success in Gateway Courses by : Andrew K. Koch

Download or read book Improving Teaching, Learning, Equity, and Success in Gateway Courses written by Andrew K. Koch and published by John Wiley & Sons. This book was released on 2018-01-22 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: As long as there have been U. S. colleges and universities, there have been entry courses that pose difficulties for students – courses that have served more as weeding-out rather than gearing-up experiences for undergraduates. This volume makes the case that the weed-out dynamic is no longer acceptable – if it ever was. Contemporary postsecondary education is characterized by vastly expanded access for historically underserved populations of students, and this new level of access is coupled withincreased scrutiny of retention and graduation outcomes. Chapters in this volume define and explore issues in gateway courses and provide various examples of how to improve teaching, learning and outcomes in these foundational components of the undergraduateexperience. This is the 180th volume of the Jossey-Bass quarterly report series New Directions for Higher Education. Addressed to presidents, vice presidents, deans, and other higher education decision makers on all kinds of campuses, it provides timely information and authoritative advice about major issues and administrative problems confronting every institution.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

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Publisher : Springer
ISBN 13 : 3319754084
Total Pages : 623 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recent Developments and the New Direction in Soft-Computing Foundations and Applications by : Lotfi A. Zadeh

Download or read book Recent Developments and the New Direction in Soft-Computing Foundations and Applications written by Lotfi A. Zadeh and published by Springer. This book was released on 2018-05-28 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.

Data Mining Applications for Empowering Knowledge Societies

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Publisher : IGI Global
ISBN 13 : 1599046598
Total Pages : 356 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Mining Applications for Empowering Knowledge Societies by : Rahman, Hakikur

Download or read book Data Mining Applications for Empowering Knowledge Societies written by Rahman, Hakikur and published by IGI Global. This book was released on 2008-07-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Assessment Methods for Student Affairs

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Publisher : John Wiley & Sons
ISBN 13 : 1118047389
Total Pages : 304 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Assessment Methods for Student Affairs by : John H. Schuh and Associates

Download or read book Assessment Methods for Student Affairs written by John H. Schuh and Associates and published by John Wiley & Sons. This book was released on 2011-01-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Editor John Schuh and his fellow contributors, all experts in the field, detail the methodological aspects of conducting assessment projects specifically for the student affairs practitioner who is ready to conduct assessment projects, but is not quite sure how to manage their technical aspects. Using a variety of case studies and concrete examples to illustrate various assessment approaches, the authors lead the reader step-by-step through each phase of the assessment process with jargon-free, hands-on guidance.

New Directions in Regional Economic Development

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Publisher : Edward Elgar Publishing
ISBN 13 : 0857933515
Total Pages : 361 pages
Book Rating : 4.8/5 (579 download)

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Book Synopsis New Directions in Regional Economic Development by : Sameeksha Desai

Download or read book New Directions in Regional Economic Development written by Sameeksha Desai and published by Edward Elgar Publishing. This book was released on 2011 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of endogenous growth theory has led to new interest in the role of the entrepreneur as an agent driving technical change at the local regional level. This book examines theoretical and methodological issues surrounding the interface of the entrepreneur in regional growth dynamics on the one hand and on the other presents illuminating case studies. In total the book's contributions amplify understanding of such critical issues as the relationship between innovation and entrepreneurship, the entrepreneur's role in transforming knowledge into something economically useful, and knowledge commercialization with both conceptual and empirical contributions. The emergence of endogenous growth theory has unleashed a flurry of new hypotheses and related inquiries that have in turn created an exciting dynamic in the conceptual, theoretical and empirical foundations of the field. A central feature has been the recognition that local initiatives matter in how regions grow and adjust to changes and shocks. Moreover, it is the role of technical change, driven by entrepreneurs, that motivates these initiatives. This volume begins by outlining and explaining the theory and method behind entrepreneurship and development. This is followed by specific case studies of practice and policy. These cases are region specific, offering the reader concrete, empirically based research results. Scholars and students in economics, entrepreneurship and public policy will find this volume a valuable tool in understanding the latest research in regional economic development.

Foundations and Advances in Data Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540250579
Total Pages : 360 pages
Book Rating : 4.2/5 (55 download)

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Book Synopsis Foundations and Advances in Data Mining by : Wesley Chu

Download or read book Foundations and Advances in Data Mining written by Wesley Chu and published by Springer Science & Business Media. This book was released on 2005-09-15 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Strategies for Team Science Success

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Publisher : Springer Nature
ISBN 13 : 303020992X
Total Pages : 633 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Strategies for Team Science Success by : Kara L. Hall

Download or read book Strategies for Team Science Success written by Kara L. Hall and published by Springer Nature. This book was released on 2019-11-13 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collaborations that integrate diverse perspectives are critical to addressing many of our complex scientific and societal problems. Yet those engaged in cross-disciplinary team science often face institutional barriers and collaborative challenges. Strategies for Team Science Success offers readers a comprehensive set of actionable strategies for reducing barriers and overcoming challenges and includes practical guidance for how to implement effective team science practices. More than 100 experts--including scientists, administrators, and funders from a wide range of disciplines and professions-- explain evidence-based principles, highlight state-of the-art strategies, tools, and resources, and share first-person accounts of how they’ve applied them in their own successful team science initiatives. While many examples draw from cross-disciplinary team science initiatives in the health domain, the handbook is designed to be useful across all areas of science. Strategies for Team Science Success will inspire and enable readers to embrace cross-disciplinary team science, by articulating its value for accelerating scientific progress, and by providing practical strategies for success. Scientists, administrators, funders, and others engaged in team science will also leave equipped to develop new policies and practices needed to keep pace in our rapidly changing scientific landscape. Scholars across the Science of Team Science (SciTS), management, organizational, behavioral and social sciences, public health, philosophy, and information technology, among other areas of scholarship, will find inspiration for new research directions to continue advancing cross-disciplinary team science.

Data Mining in Action: Case Studies of Enrollment Management

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Author :
Publisher : Jossey-Bass
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Mining in Action: Case Studies of Enrollment Management by : Jing Luan

Download or read book Data Mining in Action: Case Studies of Enrollment Management written by Jing Luan and published by Jossey-Bass. This book was released on 2006-12-15 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume introduces data mining through case studies of enrollment management. Six case studies employed data mining for solving real-life issues in enrollment yield, retention, transfer-outs, utilization of advanced-placement scores, and predicting graduation rates, among others. The authors furnish a tangible sense of data mining at work. The volume also demonstrates that data mining bears great potential to enhance institutional research. The opening chapter deciphers the similarities and differences between data mining and statistics, debunks the myths surrounding both data mining and traditional statistics, and points out the intrinsic conflict between statistical inference and the emerging need for individual pattern recognition and resulting customized treatment of students - the so-called new reality in applied institutional research. This is the 131st volume of New Directions for Institutional Research, a quarterly journal published by Jossey-Bass. Click here to see the entire list of titles for New Directions for Institutional Research.