R and Data Mining

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Publisher : Academic Press
ISBN 13 : 012397271X
Total Pages : 251 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis R and Data Mining by : Yanchang Zhao

Download or read book R and Data Mining written by Yanchang Zhao and published by Academic Press. This book was released on 2012-12-31 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT

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Publisher :
ISBN 13 : 9788126518258
Total Pages : 512 pages
Book Rating : 4.5/5 (182 download)

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Book Synopsis MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT by : Michael J. A. Berry

Download or read book MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT written by Michael J. A. Berry and published by . This book was released on 2008-09-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.

Predictive Data Mining

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558604032
Total Pages : 244 pages
Book Rating : 4.6/5 (4 download)

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Book Synopsis Predictive Data Mining by : Sholom M. Weiss

Download or read book Predictive Data Mining written by Sholom M. Weiss and published by Morgan Kaufmann. This book was released on 1998 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining: Concepts and Techniques

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Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Practical Data Mining

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Publisher : CRC Press
ISBN 13 : 1439868379
Total Pages : 294 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Practical Data Mining by : Jr., Monte F. Hancock

Download or read book Practical Data Mining written by Jr., Monte F. Hancock and published by CRC Press. This book was released on 2011-12-19 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in tech

Data Warehousing and Data Mining

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Publisher : True Dreamster Press
ISBN 13 : 9395030615
Total Pages : 99 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Data Warehousing and Data Mining by : Dr. M.Saranya

Download or read book Data Warehousing and Data Mining written by Dr. M.Saranya and published by True Dreamster Press. This book was released on 2024-05-15 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases today can range in size into the terabytes — more than 1,000,000,000,000 bytes of data. Within these masses of data lies hidden information of strategic importance. Innovative organizations worldwide are already using data mining to locate and appeal to higher-value customers, reconfigure their product offerings to increase sales and minimize losses due to error or fraud. Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. THE DATA MINING PROCESS, collecting, exploring, and selecting the right data is critically important. However, data description alone cannot provide an action plan.

Data Preparation for Data Mining

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)

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Book Synopsis Data Preparation for Data Mining by : Dorian Pyle

Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining with Rattle and R

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Publisher : Springer Science & Business Media
ISBN 13 : 144199890X
Total Pages : 382 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining with Rattle and R by : Graham Williams

Download or read book Data Mining with Rattle and R written by Graham Williams and published by Springer Science & Business Media. This book was released on 2011-08-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

BASIC ELECTRONICS

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Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 9788120319523
Total Pages : 602 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis BASIC ELECTRONICS by : SANTIRAM KAL

Download or read book BASIC ELECTRONICS written by SANTIRAM KAL and published by PHI Learning Pvt. Ltd.. This book was released on 2009-01-14 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and well-organized text discusses the fundamentals of electronic communication, such as devices and analog and digital circuits, which are so essential for an understanding of digital electronics. Professor Santiram Kal, with his wealth of knowledge and his years of teaching experience, compresses, within the covers of a single volume, all the aspects of electronics - both analog and digital - encompassing devices such as microprocessors, microcontrollers, fibre optics, and photonics. In so doing, he has struck a fine balance between analog and digital electronics. A distinguishing feature of the book is that it gives case studies in modern applications of electronics, including information technology, that is, DBMS, multimedia, computer networks, Internet, and optical communication. Worked-out examples, interspersed throughout the text, and the large number of diagrams should enable the student to have a better grasp of the subject. Besides, exercises, given at the end of each chapter, will sharpen the student's mind in self-study. These student-friendly features are intended to enhance the value of the text and make it both useful and interesting.

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

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Publisher :
ISBN 13 : 9781799884132
Total Pages : 336 pages
Book Rating : 4.8/5 (841 download)

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Book Synopsis Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by : Brij Gupta

Download or read book Data Mining Approaches for Big Data and Sentiment Analysis in Social Media written by Brij Gupta and published by . This book was released on 2021 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--

Big Data Mining and Complexity

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Publisher : SAGE
ISBN 13 : 1529710995
Total Pages : 144 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Big Data Mining and Complexity by : Brian C. Castellani

Download or read book Big Data Mining and Complexity written by Brian C. Castellani and published by SAGE. This book was released on 2022-03-01 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

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Publisher : Springer
ISBN 13 : 3319733834
Total Pages : 311 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques by : Hamid Reza Pourghasemi

Download or read book Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi and published by Springer. This book was released on 2018-12-13 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

The Text Mining Handbook

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Publisher : Cambridge University Press
ISBN 13 : 0521836573
Total Pages : 423 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis The Text Mining Handbook by : Ronen Feldman

Download or read book The Text Mining Handbook written by Ronen Feldman and published by Cambridge University Press. This book was released on 2007 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description

Visual Data Mining

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Publisher : John Wiley & Sons
ISBN 13 : 0471271381
Total Pages : 425 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Visual Data Mining by : Tom Soukup

Download or read book Visual Data Mining written by Tom Soukup and published by John Wiley & Sons. This book was released on 2002-09-18 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems. Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free Reviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making Shows how to solve numerous business problems by applying various tools and techniques Companion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining

Data Mining IV

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Publisher : WIT Press (UK)
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Mining IV by : Nelson F. F. Ebecken

Download or read book Data Mining IV written by Nelson F. F. Ebecken and published by WIT Press (UK). This book was released on 2004 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sixty-three papers from a December 2003 conference describe recent advances in data mining problems, encompassing both original research results and practical development experience. The goal is to develop algorithms and data structures that facilitate analysis of large amounts of data. Contributors from academia and industry cover such diverse areas as machine learning, databases, statistics, knowledge acquisitions, data visualization, and knowledge-based systems. Papers are organized in sections on data and text mining, clustering, categorization, CRM, case studies, post-processing and knowledge evaluation, genomics and bioinformatics, novel applications, and scalable algorithms and high- performance platforms. There is no subject index. The US office of WIT Press is Computational Mechanics. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).

Successful Customer Relationship Marketing

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Publisher : Kogan Page Publishers
ISBN 13 : 9780749435790
Total Pages : 554 pages
Book Rating : 4.4/5 (357 download)

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Book Synopsis Successful Customer Relationship Marketing by : Bryan Foss

Download or read book Successful Customer Relationship Marketing written by Bryan Foss and published by Kogan Page Publishers. This book was released on 2001 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handbook on customer relationship marketing. Successful Customer Relationship Marketing explores what companies all over the world are doing and shows what tools and techniques are actually bringing results. It is divided into four parts: Customer Knowledge; Strategy and Technology; Implementation; and Sector Studies.

Computerworld

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Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4./5 ( download)

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Book Synopsis Computerworld by :

Download or read book Computerworld written by and published by . This book was released on 2003-10-06 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.