Predictive Analytics And Data Mining Concepts And Practice With Rapidminer

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Predictive Analytics and Data Mining Concepts and Practice with RapidMiner

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Author by : Vijay Kotu
Languange Used : English, France, Spanish, Italia and chinese
Page : 446
Isbn : 0128016507
Identifier : 9780128016503
Release : 2014-11-27
Publisher by : Morgan Kaufmann
Category : Computers
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Description : Read Now Predictive Analytics And Data Mining by Vijay Kotu and you can download with pub, pdf, txt, doc, and more file format with free account. put predictive analytics into action learn the basics of predictive analysis and data mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source rapidminer tool. whether you are brand new to data mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. data mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. this book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn data mining. you’ll be able to: 1. gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using rapidminer, an open source gui based data mining tool predictive analytics and data mining techniques covered: exploratory data analysis, visualization, decision trees, rule induction, k-nearest neighbors, naïve bayesian, artificial neural networks, support vector machines, ensemble models, bagging, boosting, random forests, linear regression, logistic regression, association analysis using apriori and fp growth, k-means clustering, density based clustering, self organizing maps, text mining, time series forecasting, anomaly detection and feature selection. implementation files can be downloaded from the book companion site at www.learnpredictiveanalytics.com demystifies data mining concepts with easy to understand language shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis explains the process of using open source rapidminer tools discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics includes practical use cases and examples

Data Science Concepts and Practice

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Author by : Vijay Kotu
Languange Used : English, France, Spanish, Italia and chinese
Page : 568
Isbn : 9780128147610
Identifier : 012814761X
Release : 2018-12-17
Publisher by : Morgan Kaufmann
Category : Computers
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Description : Read Now Data Science by Vijay Kotu and you can download with pub, pdf, txt, doc, and more file format with free account. learn the basics of data science through an easy to understand conceptual framework and immediately practice using rapidminer platform. whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. data science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. this book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. you'll be able to: gain the necessary knowledge of different data science techniques to extract value from data. master the concepts and inner workings of 30 commonly used powerful data science algorithms. implement step-by-step data science process using using rapidminer, an open source gui based data science platform data science techniques covered: exploratory data analysis, visualization, decision trees, rule induction, k-nearest neighbors, naïve bayesian classifiers, artificial neural networks, deep learning, support vector machines, ensemble models, random forests, regression, recommendation engines, association analysis, k-means and density based clustering, self organizing maps, text mining, time series forecasting, anomaly detection, feature selection and more... contains fully updated content on data science, including tactics on how to mine business data for information presents simple explanations for over twenty powerful data science techniques enables the practical use of data science algorithms without the need for programming demonstrates processes with practical use cases introduces each algorithm or technique and explains the workings of a data science algorithm in plain language describes the commonly used setup options for the open source tool rapidminer

Data Mining for the Masses, Second Edition With Implementations in RapidMiner and R

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Author by : Matthew North
Languange Used : English, France, Spanish, Italia and chinese
Page : 312
Isbn : 9781523321438
Identifier : 1523321431
Release : 2016-01-08
Publisher by : no defined
Category :
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Description : Read Now Data Mining For The Masses Second Edition by Matthew North and you can download with pub, pdf, txt, doc, and more file format with free account. we live in a world that generates tremendous amounts of data-more than ever before. in business, and in our personal lives, we use smartphones and tablets, web sites and watches; with dozens of apps and interfaces to shop, learn, entertain and inform. businesses increasingly use technology to interact with consumers to provide marketing, customer service, product information and more. all of this technological activity generates data-data that can be useful in many ways. data mining can help to identify interesting patterns and messages that exist, often hidden beneath the surface. in this modern age of information systems, it is easier than ever before to extract meaning from data. from classification to prediction, data mining can help. in data mining for the masses, second edition, professor matt north-a former risk analyst and software engineer at ebay-uses simple examples and clear explanations with free, powerful software tools to teach you the basics of data mining. in this second edition, implementations of these examples are offered in both an updated version of the rapidminer software, and in the popular r statistical package. you've got more data than ever before and you know it's got value, if only you can figure out how to get to it. this book can show you how. let's start digging! author's note: the first edition of this text continues to be available for download, free of charge as a pdf file, from the globaltext online library.

RapidMiner Data Mining Use Cases and Business Analytics Applications

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Author by : Markus Hofmann
Languange Used : English, France, Spanish, Italia and chinese
Page : 525
Isbn : 1482205505
Identifier : 9781482205503
Release : 2016-04-19
Publisher by : CRC Press
Category : Business & Economics
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Description : Read Now Rapidminer by Markus Hofmann and you can download with pub, pdf, txt, doc, and more file format with free account. powerful, flexible tools for a data-driven world as 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 increasingly complex problems. learn from the creators of the rapidminer software written by leaders in the data mining community, including the developers of the rapidminer software, rapidminer: data mining use cases and business analytics applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. it presents the most powerful and flexible open source software solutions: rapidminer and rapidanalytics. the software and their extensions can be freely downloaded at www.rapidminer.com. understand each stage of the data mining process the book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as r packages or your it infrastructure via web services. the book and software also extensively discuss the analysis of unstructured data, including text and image mining. easily implement analytics approaches using rapidminer and rapidanalytics each chapter describes an application, how to approach it with data mining methods, and how to implement it with rapidminer and rapidanalytics. these application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using rapidminer and rapidanalytics. the case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.

Stats with Cats The Domesticated Guide to Statistics, Models, Graphs, and Other Breeds of Data Analysis

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Author by : Charles Kufs
Languange Used : English, France, Spanish, Italia and chinese
Page : 376
Isbn : 1604944722
Identifier : 9781604944723
Release : 2011-01
Publisher by : Wheatmark, Inc.
Category : Mathematics
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Description : Read Now Stats With Cats by Charles Kufs and you can download with pub, pdf, txt, doc, and more file format with free account. when you took statistics in school, your instructor gave you specially prepared datasets, told you what analyses to perform, and checked your work to see if it was correct. once you left the class, though, you were on your own. did you know how to create and prepare a dataset for analysis? did you know how to select and generate appropriate graphics and statistics? did you wonder why you were forced to take the class and when you would ever use what you learned? that's where "stats with cats" can help you out. the book will show you: how to decide what you should put in your dataset and how to arrange the data.how to decide what graphs and statistics to produce for your data.how you can create a statistical model to answer your data analysis questions. the book also provides enough feline support to minimize any stress you may experience. charles kufs has been crunching numbers for over thirty years, first as a hydrogeologist, and since the 1990s as a statistician. he is certified as a six sigma green belt by the american society for quality. he currently works as a statistician for the federal government and he is here to help you.

Data Mining Applications with R

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Author by : Yanchang Zhao
Languange Used : English, France, Spanish, Italia and chinese
Page : 514
Isbn : 0124115209
Identifier : 9780124115200
Release : 2013-11-26
Publisher by : Academic Press
Category : Computers
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Description : Read Now Data Mining Applications With R by Yanchang Zhao and you can download with pub, pdf, txt, doc, and more file format with free account. data mining applications with r is a great resource for researchers and professionals to understand the wide use of r, a free software environment for statistical computing and graphics, in solving different problems in industry. r is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. this book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. it is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. r code, data and color figures for the book are provided at the rdatamining.com website. helps data miners to learn to use r in their specific area of work and see how r can apply in different industries presents various case studies in real-world applications, which will help readers to apply the techniques in their work provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Fundamentals of Machine Learning for Predictive Data Analytics Algorithms, Worked Examples, and Case Studies

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Author by : John D. Kelleher
Languange Used : English, France, Spanish, Italia and chinese
Page : 624
Isbn : 0262029448
Identifier : 9780262029445
Release : 2015-07-24
Publisher by : MIT Press
Category : Computers
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Description : Read Now Fundamentals Of Machine Learning For Predictive Data Analytics by John D. Kelleher and you can download with pub, pdf, txt, doc, and more file format with free account. a comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Pattern Recognition And Big Data

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Author by : Pal Sankar Kumar
Languange Used : English, France, Spanish, Italia and chinese
Page : 876
Isbn : 9813144564
Identifier : 9789813144569
Release : 2016-12-15
Publisher by : World Scientific
Category : Computers
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Description : Read Now Pattern Recognition And Big Data by Pal Sankar Kumar and you can download with pub, pdf, txt, doc, and more file format with free account. containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications. pattern recognition and big data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. the book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling big data. application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

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Author by : Gary Miner
Languange Used : English, France, Spanish, Italia and chinese
Page : 1053
Isbn : 012386979X
Identifier : 9780123869791
Release : 2012
Publisher by : Academic Press
Category : Mathematics
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Description : Read Now Practical Text Mining And Statistical Analysis For Non Structured Text Data Applications by Gary Miner and you can download with pub, pdf, txt, doc, and more file format with free account. the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. this makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. as the internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. this comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. the handbook of practical text mining and statistical analysis for non-structured text data applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. in addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. -extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible -numerous examples, tutorials, power points and datasets available via companion website on elsevierdirect.com -glossary of text mining terms provided in the appendix

Sports Data Mining

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Author by : Robert P. Schumaker
Languange Used : English, France, Spanish, Italia and chinese
Page : 138
Isbn : 9781441967305
Identifier : 1441967303
Release : 2010-09-10
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Sports Data Mining by Robert P. Schumaker and you can download with pub, pdf, txt, doc, and more file format with free account. data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. first popularized in michael lewis’ best-selling moneyball: the art of winning an unfair game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. while an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. sports data mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including hsinchun chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. they even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

Handbook of Statistical Analysis and Data Mining Applications

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Author by : Robert Nisbet
Languange Used : English, France, Spanish, Italia and chinese
Page : 822
Isbn : 0124166458
Identifier : 9780124166455
Release : 2017-11-09
Publisher by : Elsevier
Category : Mathematics
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Description : Read Now Handbook Of Statistical Analysis And Data Mining Applications by Robert Nisbet and you can download with pub, pdf, txt, doc, and more file format with free account. 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

Real-World Data Mining Applied Business Analytics and Decision Making

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Author by : Dursun Delen
Languange Used : English, France, Spanish, Italia and chinese
Page : 288
Isbn : 0133551113
Identifier : 9780133551112
Release : 2014-12-16
Publisher by : FT Press
Category : Computers
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Description : Read Now Real World Data Mining by Dursun Delen and you can download with pub, pdf, txt, doc, and more file format with free account. use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! real-world data mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. drawing on extensive experience as a researcher, practitioner, and instructor, dr. dursun delen delivers an optimal balance of concepts, techniques and applications. without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and big data integration. throughout, delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. real-world data mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.