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Author: Sholom M. Weiss
Publisher: Morgan Kaufmann Pub
ISBN: 9781558604773
Category : Computers
Languages : en
Pages :
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Book Description
This state-of-the-art data-mining software kit accompanies the book Predictive Data Mining: A Practical Guide . Information from the book is necessary to access the software. If you do not currently own the book, you may wish to look at the book/software package; the book alone is also available. The software, which is delivered through a special web site, is a collection of routines for efficient mining of big data. Both classical and the more computationally expensive state-of-the-art prediction methods are included. Using a standard spreadsheet data format, this kit implements all of the data-mining tasks described in the book. The software is available for Windows 95/NT and Unix. For detailed information about the kit, please visit the Data-Miner site.
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann Pub
ISBN: 9781558604773
Category : Computers
Languages : en
Pages :
Get Book Here
Book Description
This state-of-the-art data-mining software kit accompanies the book Predictive Data Mining: A Practical Guide . Information from the book is necessary to access the software. If you do not currently own the book, you may wish to look at the book/software package; the book alone is also available. The software, which is delivered through a special web site, is a collection of routines for efficient mining of big data. Both classical and the more computationally expensive state-of-the-art prediction methods are included. Using a standard spreadsheet data format, this kit implements all of the data-mining tasks described in the book. The software is available for Windows 95/NT and Unix. For detailed information about the kit, please visit the Data-Miner site.
Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 012397271X
Category : Mathematics
Languages : en
Pages : 251
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Book Description
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work
Author: Dorian Pyle
Publisher: Morgan Kaufmann
ISBN: 9781558605299
Category : Computers
Languages : en
Pages : 566
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Book Description
This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.
Author: Markus Hofmann
Publisher: CRC Press
ISBN: 1482205505
Category : Business & Economics
Languages : en
Pages : 518
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Book Description
Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre
Author: Meta S. Brown
Publisher: John Wiley & Sons
ISBN: 1118893174
Category : Computers
Languages : en
Pages : 422
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Book Description
Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1420045911
Category : Computers
Languages : en
Pages : 272
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Book Description
Focusing on three applications of data mining, Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Mainly based on the authors' own research work, the book takes a practical approach to the subject.The first part of the boo
Author: Ivanka Menken
Publisher: Emereo Publishing
ISBN: 9781488501241
Category : Computers
Languages : en
Pages : 114
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Book Description
Uncover the essential tool for information management professionals known as Data Mining. The Data Mining approach aims to identify relationships and patterns among data sets. Become a valued member of your organization by learning the tools and processes of the Data Mining implementation. Data are text, numbers, or facts that can be processed by a computer. With the vast amounts of data accumulated by organizations today, it is vital for a business to ensure that this data is managed, maintained, and analyzed correctly. Data Mining can be described as the process of analyzing data from different and alternate viewpoints or perspectives, and summarizing this into information that can be used to improve financial gain and business growth. In technical terms, data mining is implemented to find patterns among large fields of data. This course would be beneficial to IT managers looking to improve data management and analysis techniques, businesses looking to improve financial gain and company growth, and data analysts investigating the processes and tools of successful Data Mining. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Data Mining toolbox. The industry is facing a bold, new world with the amazing developments in Data Mining technology, and the challenges and the opportunities that this presents are unprecedented. The Data Mining Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Data Mining concepts and their practical application in any environment. The Art of Service's introductory Data Mining training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Data Mining. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Data Mining applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself, and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Data Mining Complete Certification course prepares you for Data Mining Certification. Why register? - Easy and affordable. - Learning about Data Mining technologies has never been more affordable. - Latest industry trends are explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Data Mining and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, processes, and uses of Data Mining. - Learn about the benefits of implementing a Data Mining approach in information management sectors. - Examine Data patterns and relationships. - Learn about Minable Data. - Explore the usefulness of Data Mining and future predictions. Course Outline The topics covered in this course are: - Introduction to Knowledge Discovery in Databases - Introduction to Data Mining - Minable Data - Visualizing Data Patterns - Data Mining Process - Data Mining Tools - Usefulness and Future Data Mining Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours. Delivery: The program combines presentations supported by trainer audio. Each module is followed by qui
Author:
Publisher:
ISBN:
Category : Data mining
Languages : en
Pages :
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Book Description
Author: Barbara Mento
Publisher: Association of Research Libr
ISBN:
Category : Data mining
Languages : en
Pages : 84
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Book Description
"The goal of this survey was to determine the extent to which data mining technology is being used by ARL member institutions, researchers, libraries and and administrations. The survey also hoped to elicit ideas and opinions concerning the potential role of libraries in supporting data mining and data warehousing in research institutions. The first seven survey questions focus on data mining and data warehousing activities at the institutional level. The remaining questions explore the current library use of data mining technology and opportunities for future use. Since data warehouses are the foundation of data mining, several questions focused on current support and future plans for data warehousing. The survey was sent to 124 ARL member libraries. Sixty-five (52%) responded to the survey"--P. 9.
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann
ISBN: 9781558604032
Category : Computers
Languages : en
Pages : 244
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Book Description
This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
