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Data Mining and Granular Computing

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出版日:2004/11/04 作者:LAROSE  出版社:JOHN WILEY & SONS;LTD  裝訂:精裝
Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading res
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出版日:2010/10/08 作者:Galit Shmueli; Nitin R. Patel; Peter C. Bruce  出版社:John Wiley & Sons Inc  裝訂:平裝
Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models
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出版日:2002/05/16 作者:SOUKUP  出版社:JOHN WILEY & SONS;LTD  裝訂:平裝
Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining to
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出版日:2016/04/04 作者:Galit Shmueli; Peter C. Bruce; Nitin R. Patel  出版社:John Wiley & Sons Inc  裝訂:精裝
Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence, Third Edition continues to supply insightful, detailed guidance on fundamenta
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作者:BERSON  出版社:Mcgraw-Hill; Inc.  裝訂:平裝
-- Technology assigned to drive business goals -- Recently there have been many books written about data warehousing and several about data mining. Most of these focus on only one part of these techno
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出版日:2004/05/07 作者:MUELLER  出版社:JOHN WILEY & SONS;LTD  裝訂:平裝
Google Brings Data Mining to the People!Virtually everyone sees Google as, hands down, the best online search tool. Now you can use and improve on Google technology in your own applications.Mining Goo
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出版日:2009/03/20 作者:尹相志  出版社:悅知  裝訂:平裝
本書針對SQL Server 2008資料採礦技術與新增功能提供詳盡解說,並融入作者多年顧問工作之精髓,涵括許多豐富具商業價值的範例,引領你邁向Data Mining技術殿堂的最高境界。■資料採礦概論:講解資料採礦的基本觀念、詳實闡述如何以CRIPS-DM簡化資料採礦專案的複雜流程,並以專章介紹資料預處理技術。■資料採礦演算法:從演算法出發,包括演算法的原理與架構、建模過程及參數調整,並酌以範例說
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出版日:1995/09/11 作者:STERN  出版社:JOHN WILEY & SONS;LTD  裝訂:平裝
Computing in the Information Age 2E is written for people with little or no background in Computing. The objective of this book is to explain computing today in a clear and meaningful way and to focus
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出版日:1990/05/09 作者:David E. Lundstrom  出版社:Mit Pr  裝訂:平裝
In this personal memoir, electrical engineer David Lundstrom recalls the heyday ofearly computing - the rise of Control Data out of the Univac division of Sperry Rand, such milestonecomputer systems a
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出版日:2019/03/19 作者:Chris Bernhardt  出版社:Mit Pr  裝訂:精裝
An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader.Quantum computing is a beautiful fus
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出版日:2017/12/22 作者:Caroline Carruthers; Peter Jackson  出版社:Facet Pub  裝訂:精裝
The issues and profession of the Chief Data Officer (CDO) are of significant interest and relevance to organisations and data professionals internationally. Written by two practicing CDOs,
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出版日:2016/05/13 作者:Nayan B. Ruparelia  出版社:Mit Pr  裝訂:平裝
Most of the information available on cloud computing is either highly technical, with details that are irrelevant to non-technologists, or pure marketing hype, in which the cloud is simply a selling p
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出版日:2015/01/20 作者:Andrew Blann  出版社:OUP Academic UK  裝訂:平裝
Data Handling and Analysis provides a broad review of the quantitative skills needed to be an effective biomedical scientist. Spanning the collection, presentation, and analysis of data - and drawing
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出版日:2012/02/17 作者:Behrouz A. Forouzan  出版社:McGraw-Hill College  裝訂:精裝
Data Communications and Networking is designed to help students understand the basics of data communications and networking, and the protocols used in the Internet in particular by using the protocol
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出版日:2008/05/01 作者:朱海成  出版社:博碩文化  裝訂:平裝
本書之主旨在於使用更簡單、更清晰以及更容易了解的專業術語,來協助同學們學習電子商務。除闡述電子商務發展的基本理論,如ERP、KM、SCM、CRM、BI、Data Warehousing、Data Mining、e-Marketplace、e-Marketing、XML等熱門議題外,其他與電子商務非常相近之延伸熱門議題,諸如e-business(電子商業)與mobile-commerce(行動商務)
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出版日:2005/09/23 作者:Nancy Forbes  出版社:Mit Pr  裝訂:平裝
How scientists are using nature as model and metaphor to reinvent computing: a survey of an emerging field.
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出版日:2004/08/18 作者:DR.LARRY LON  出版社:Mcgraw-Hill; Inc.  裝訂:平裝
The fast and easy way to understanding the fundamentals of personal computing Whether you're just getting started or you've been using PCs for a while, this informative book shows you what you need to
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出版日:2002/01/01 作者:Kincaid  出版社:Brooks;Cole  裝訂:平裝
This highly successful and scholarly book introduces students with diverse backgrounds to the various types of mathematical analysis that are commonly needed in scientific computing. The subject of nu
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出版日:2000/10/31 作者:ZOMAYA  出版社:JOHN WILEY & SONS;LTD  裝訂:精裝
Solving problems in parallel and distributed computing through the use of bio-inspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena
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出版日:1998/06/29 作者:Christopher Adamson; Michael Venerable  出版社:JOHN WILEY & SONS;INC.  裝訂:平裝
"Each chapter is... a practice run for the way we all ought to design our data marts and hence our data warehouses."-Ralph Kimball, from the Foreword. Let the experts show you how to customize data w
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出版日:1996/04/18 作者:LloydD. Fosdick  出版社:Mit Pr  裝訂:精裝
Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in
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出版日:1995/08/18 作者:STAR  出版社:JOHN WILEY & SONS;LTD  裝訂:平裝
This is one of the first collections exploring the range of cultural practices associated with the design and use of computing. Against the background of the "information revolution", the volume shows
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出版日:1992/03/25 作者:David Harel  出版社:Pearson Education Ltd  裝訂:平裝
Providing a thorough, well-written and thoughtful study of the fundamental theoretical ideas of computing and examining how to design accurate and efficient algorithms, this book is ideal for an intro
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出版日:2019/02/28 作者:U.s. Office of the Federal Register  出版社:Bernan Pr  裝訂:平裝
Title 30 presents regulations governing mineral lands and mining applied by the United States Bureau of Mines.
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出版日:2018/03/20 作者:United Nations (COR)  出版社:United Nations Pubns  裝訂:精裝
The Yearbook provides statistics on the production of about 600 major industrial commodities. Data are provided for 2006-2015 for approximately 200 countries and territories.
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出版日:2017/07/27 作者:Axel Freiherr Von Dem Bussche; Paul Voigt  出版社:Hart Pub Ltd  裝訂:精裝
This comprehensive survey addresses the key issues and questions that arise under German data protection law. An essential reference work, it explores the fundamental principles of both German and Eur
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出版日:2016/04/27 作者:S. Christian Albright; Wayne L. Winston  出版社:Cengage Learning  裝訂:精裝
Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! This popular quantitative methods text helps you maximize your success w
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出版日:2015/05/19 作者:Peter Carey  出版社:OUP Academic UK  裝訂:平裝
Written by one of the UK's leading data protection experts, this invaluable handbook offers practical solutions to issues arising in relation to data protection law within the UK and EU. Now in its fo
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出版日:2014/02/12 作者:David Linthicum  出版社:Pearson P T R  裝訂:平裝
“In this book, David Linthicum does that rarest of things: he manages to combine showing why SOA and Cloud Computing complement one another with a lucid game plan of how a business can take advantage
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出版日:2010/12/01 作者:Rance D. Necaise  出版社:John Wiley & Sons Inc  裝訂:平裝
This book is designed for a data structures and algorithms course that uses Python. A key objective is to provide a "back to basics" approach to learning data structures and algorithms without overwh
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出版日:2010/03/23 作者:Ann E. Watkins; Richard L. Scheaffer; George W. Cobb  出版社:John Wiley & Sons Inc  裝訂:精裝
This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data anal
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出版日:2008/12/26 作者:Lyman R. Ott; Micheal Longnecker  出版社:Cengage Learning  裝訂:精裝
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a v
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出版日:2008/11/01 作者:Peter Carey  出版社:The Law Society  裝訂:平裝
The Data Protection Act 1998 came into force in March 2000 and has significantly affected how companies treat and handle data.The second edition of this practical handbook provides a fully up-to-date
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出版日:2006/12/01 作者:曾煜棋  出版社:知城圖書  裝訂:平裝
作者簡介曾煜棋 (Yu-Chee Tseng) 教授/系主任美國俄亥俄州立大學博士目前任教於國立交通大學資訊工程學系Research Interests: ‧ Wireless Communications and Networks ‧ Communication Protocols ‧ Mobile Computing ‧ Parallel and Distributed Computing ‧
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出版日:2006/01/01 作者:GOYAL  出版社:Mcgraw-Hill; Inc.  裝訂:平裝
"Hit the grid running with this roadmap for implementing Oracle enterprise grid technologyWritten by the former principal product manager for Grid Computing at Oracle, this is the only book on the mar
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出版日:2005/01/01 作者:RICHARD  出版社:Mcgraw-Hill; Inc.  裝訂:精裝
This senior undergraduate textbook explains how computers share, protect, and use data in an environment where the location is not fixed. It discusses agents and service discovery for middleware, prot
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出版日:2004/10/25 作者:Richard Schreier; Gabor C. Temes  出版社:IEEE  裝訂:精裝
Learn how to harness the power of delta-sigma data converters Understanding Delta-Sigma Data Converters brings readers a clear understanding of the principles of delta-sigma (DeltaSigma) converter
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出版日:2003/11/13 作者:VACCA  出版社:Mcgraw-Hill; Inc.  裝訂:平裝
Wireless data, the high-speed transfer of email, stock information, messages, and even video and audio across wireless networks, is expected to become a$7.5 billion business within the next three year
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出版日:2003/03/17 作者:WalterA. Rosenblith  出版社:Mit Pr  裝訂:平裝
Some methods of processing data recorded from the nervous system as developed at MIT, with a chapter on random processes. From the Preface:"The methods that one employs in processing data, are, of cou
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出版日:2002/04/01 作者:朱海成  出版社:滄海  裝訂:平裝
電子商務理論與實作儼然成為各學術單位與企業組織尋求之焦點火線話題。本人現為東海大學副教授、數位國際資訊管理顧問有限公司電子商務首席顧問。因此,除電子商務理論外,特別收錄本人在產業界之實戰經驗。電子商務之熱門議題,如ERP、KM、sCM、CRM、BI、Data Warehousing、Data Mining、e-Marketplace、e-Marketing、XML等等,均在本屋中有詳細
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