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Commercial Data Mining

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Commercial Data Mining

Commercial Data Mining Book
Author : David Nettleton
Publisher : Morgan Kaufmann
Release : 2014
ISBN : 9780124166028
Language : En, Es, Fr & De

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Book Description :

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

Commercial Data Mining of Criminal Justice System Records

Commercial Data Mining of Criminal Justice System Records Book
Author : Criminal and Juvenile Justice Information Task Force (Minn.)
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Commercial Data Mining of Criminal Justice System Records book written by Criminal and Juvenile Justice Information Task Force (Minn.), available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Principles of Data Mining

Principles of Data Mining Book
Author : Max Bramer
Publisher : Springer
Release : 2016-11-09
ISBN : 1447173074
Language : En, Es, Fr & De

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Book Description :

This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.

Data Mining with Rattle and R

Data Mining with Rattle and R Book
Author : Graham Williams
Publisher : Springer Science & Business Media
Release : 2011-08-04
ISBN : 144199890X
Language : En, Es, Fr & De

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Book Description :

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Commercial Data Mining

Commercial Data Mining Book
Author : David Nettleton
Publisher : Elsevier
Release : 2014-01-29
ISBN : 012416658X
Language : En, Es, Fr & De

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Book Description :

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

Data Mining for Business Applications

Data Mining for Business Applications Book
Author : Carlos A. Mota Soares,Rayid Ghani
Publisher : IOS Press
Release : 2010-01-01
ISBN : 1607506327
Language : En, Es, Fr & De

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Book Description :

Data mining is already incorporated into the business processes in sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications.

Introduction to Data Mining and Its Applications

Introduction to Data Mining and Its Applications Book
Author : S. Sumathi,S.N. Sivanandam
Publisher : Springer Science & Business Media
Release : 2006-09-26
ISBN : 3540343504
Language : En, Es, Fr & De

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Book Description :

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

Defense of Privacy Act and Privacy in the Hands of the Government

Defense of Privacy Act and Privacy in the Hands of the Government Book
Author : United States,United States. Congress. House. Committee on the Judiciary. Subcommittee on Commercial and Administrative Law
Publisher : Unknown
Release : 2003
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Defense of Privacy Act and Privacy in the Hands of the Government book written by United States,United States. Congress. House. Committee on the Judiciary. Subcommittee on Commercial and Administrative Law, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Commerce Business Daily

Commerce Business Daily Book
Author : Anonim
Publisher : Unknown
Release : 2000-10
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Commerce Business Daily book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Federal Agency Protection of Privacy Act of 2004

Federal Agency Protection of Privacy Act of 2004 Book
Author : United States. Congress. House. Committee on the Judiciary
Publisher : Unknown
Release : 2004
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Federal Agency Protection of Privacy Act of 2004 book written by United States. Congress. House. Committee on the Judiciary, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

FBI Oversight

FBI Oversight Book
Author : United States. Congress. Senate. Committee on the Judiciary
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download FBI Oversight book written by United States. Congress. Senate. Committee on the Judiciary, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Data Warehousing and Data Mining Techniques for Cyber Security

Data Warehousing and Data Mining Techniques for Cyber Security Book
Author : Anoop Singhal
Publisher : Springer Science & Business Media
Release : 2007-04-06
ISBN : 0387476539
Language : En, Es, Fr & De

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Book Description :

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

Data Mining and Business Analytics with R

Data Mining and Business Analytics with R Book
Author : Johannes Ledolter
Publisher : John Wiley & Sons
Release : 2013-05-28
ISBN : 1118572157
Language : En, Es, Fr & De

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Book Description :

Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are provided with the neededguidance to model and interpret complicated data and become adeptat building powerful models for prediction and classification. Highlighting both underlying concepts and practicalcomputational skills, Data Mining and Business Analytics withR begins with coverage of standard linear regression and theimportance of parsimony in statistical modeling. The book includesimportant topics such as penalty-based variable selection (LASSO);logistic regression; regression and classification trees;clustering; principal components and partial least squares; and theanalysis of text and network data. In addition, the bookpresents: • A thorough discussion and extensive demonstration of thetheory behind the most useful data mining tools • Illustrations of how to use the outlined concepts inreal-world situations • Readily available additional data sets and related Rcode allowing readers to apply their own analyses to the discussedmaterials • Numerous exercises to help readers with computing skillsand deepen their understanding of the material Data Mining and Business Analytics with R is an excellentgraduate-level textbook for courses on data mining and businessanalytics. The book is also a valuable reference for practitionerswho collect and analyze data in the fields of finance, operationsmanagement, marketing, and the information sciences.

Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems Book
Author : Azevedo, Ana
Publisher : IGI Global
Release : 2014-09-30
ISBN : 1466664789
Language : En, Es, Fr & De

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Book Description :

Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Data Mining and Warehousing

Data Mining and Warehousing Book
Author : S. Prabhu
Publisher : New Age International
Release : 2007-01-01
ISBN : 8122419720
Language : En, Es, Fr & De

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Book Description :

Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.

Data Mining

Data Mining Book
Author : Graham J. Williams
Publisher : Springer Science & Business Media
Release : 2006-02-20
ISBN : 9783540325475
Language : En, Es, Fr & De

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Book Description :

This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook Book
Author : Oded Maimon,Oded Z. Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Release : 2005
ISBN : 9780387244358
Language : En, Es, Fr & De

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Book Description :

Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications Book
Author : Robert Nisbet,Gary Miner,Ken Yale
Publisher : Elsevier
Release : 2017-11-09
ISBN : 0124166458
Language : En, Es, Fr & De

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Book Description :

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Data Mining and Statistics for Decision Making

Data Mining and Statistics for Decision Making Book
Author : Stéphane Tufféry
Publisher : John Wiley & Sons
Release : 2011-03-23
ISBN : 9780470979280
Language : En, Es, Fr & De

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Book Description :

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Cloud Computing

Cloud Computing Book
Author : Martin Gilje Jaatun,Gansen Zhao,Chunming Rong
Publisher : Springer Science & Business Media
Release : 2009-11-24
ISBN : 3642106641
Language : En, Es, Fr & De

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Book Description :

This volume contains the proceedings of CloudCom 2009, the First Inter- tional Conference on Cloud Computing. The conference was held in Beijing, China, during December 1–4, 2009, and was the ?rst in a series initiated by the Cloud Computing Association (www.cloudcom.org). The Cloud Computing Association was founded in 2009 by Chunming Rong, Martin Gilje Jaatun, and Frode Eika Sandnes. This ?rst conference was organized by the Beijing Ji- tong University, Chinese Institute of Electronics, and Wuhan University, and co-organized by Huazhong University of Science and Technology, South China Normal University, and Sun Yat-sen University. Ever since the inception of the Internet, a “Cloud” has been used as a metaphor for a network-accessible infrastructure (e.g., data storage, computing hardware, or entire networks) which is hidden from users. To some, the concept of cloud computing may seem like a throwback to the days of big mainframe computers, but we believe that cloud computing makes data truly mobile, - lowing a user to access services anywhere, anytime, with any Internet browser. In cloud computing, IT-related capabilities are provided as services, accessible without requiring control of, or even knowledge of, the underlying technology. Cloud computing provides dynamic scalability of services and computing power, and although many mature technologies are used as components in cloud c- puting, there are still many unresolved and open problems.