Mineria De Datos La Metodologia Cris Dm De Ibm El Lenguaje Clem E Ibm Spss Modeler

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MINERIA de DATOS. la Metodologia CRIS-DM de IBM. el Lenguaje CLEM e IBM SPSS MODELER

Author : Maria Perez Marques
Publisher : CreateSpace
ISBN 13 : 9781505536782
Total Pages : 166 pages
Book Rating : 4.5/5 (367 download)

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Book Synopsis MINERIA de DATOS. la Metodologia CRIS-DM de IBM. el Lenguaje CLEM e IBM SPSS MODELER by : Maria Perez Marques

Download or read book MINERIA de DATOS. la Metodologia CRIS-DM de IBM. el Lenguaje CLEM e IBM SPSS MODELER written by Maria Perez Marques and published by CreateSpace. This book was released on 2014-12-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro comienza describiendo el proceso de modelado CRISP-DM para la minería de datos. La metodología de CRISP-DM está descrita en términos de un modelo de proceso jerárquico, consistente en un conjunto de tareas descritas en varios niveles de abstracción. A través de las fases de comprensión del negocio, de comprensión de los datos, de preparación de los datos, de modelado, de evaluación y de implementación, se desarrolla el proceso de minería de datos con sus técnicas y herramientas. Se profundiza en el lenguaje para la manipulación de expresiones de control (CLEM), que es un lenguaje para analizar y manipular los datos que fluyen en las rutas de IBM SPSS Modeler, herramienta fundamental de IBM para la minería de datos y la inteligencia de negocios. Los analistas de datos suelen utilizar CLEM en las operaciones de rutas para realizar tareas tan simples como derivar beneficios de datos de costes e ingresos, o tan complejas como transformar datos del registro Web en un conjunto de campos y registros con información útil.Finalmente, el libro presenta, a través de ejemplos, el entorno y las tareas fundamentales del trabajo en IBM SPSS Modeler, herramienta esencial en el desarrollo de la minería de datos y el Business Analytics.

DATA MINING. The CRISP-DM METHODOLOGY. The CLEM Language and IBM SPSS MODELER

Author : Perez Lopez Cesar Perez Lopez
Publisher :
ISBN 13 : 9781008981652
Total Pages : 0 pages
Book Rating : 4.9/5 (816 download)

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Book Synopsis DATA MINING. The CRISP-DM METHODOLOGY. The CLEM Language and IBM SPSS MODELER by : Perez Lopez Cesar Perez Lopez

Download or read book DATA MINING. The CRISP-DM METHODOLOGY. The CLEM Language and IBM SPSS MODELER written by Perez Lopez Cesar Perez Lopez and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining with IBM SPSS Modeler (IBM SPSS Clementine)

Author : César Pérez
Publisher : Createspace Independent Pub
ISBN 13 : 9781490440699
Total Pages : 242 pages
Book Rating : 4.4/5 (46 download)

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Book Synopsis Data Mining with IBM SPSS Modeler (IBM SPSS Clementine) by : César Pérez

Download or read book Data Mining with IBM SPSS Modeler (IBM SPSS Clementine) written by César Pérez and published by Createspace Independent Pub. This book was released on 2013-06-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, IBM SPSS CLEMENTINE whose current name is IBM SPSS MODELER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc.). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques.

DATA MINING con IBM SPSS MODELER (IBM SPSS CLEMENTINE)

Author : Antonio Prieto
Publisher : Createspace Independent Pub
ISBN 13 : 9781481845779
Total Pages : 350 pages
Book Rating : 4.8/5 (457 download)

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Book Synopsis DATA MINING con IBM SPSS MODELER (IBM SPSS CLEMENTINE) by : Antonio Prieto

Download or read book DATA MINING con IBM SPSS MODELER (IBM SPSS CLEMENTINE) written by Antonio Prieto and published by Createspace Independent Pub. This book was released on 2012-12-26 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: La minería de datos o Data Mining puede definirse inicialmente como un proceso de descubrimiento de nuevas y significativas relaciones, patrones y tendencias al examinar grandes cantidades de datos.La disponibilidad de grandes volúmenes de información y el uso generalizado de herramientas informáticas ha transformado el análisis de datos orientándolo hacia determinadas técnicas especializadas englobadas bajo el nombre de minería de datos o Data Mining.Las técnicas de minería de datos persiguen el descubrimiento automático del conocimiento contenido en la información almacenada de modo ordenado en grandes bases de datos. Estas técnicas tienen como objetivo descubrir patrones, perfiles y tendencias a través del análisis de los datos utilizando técnicas avanzadas como muestreo, análisis exploratorio de datos, técnicas de reducción de la dimensión, técnicas de modelización avanzada, clasificación, segmentación, predicción, reconocimiento de patrones y otras técnicas avanzadas de análisis de datos.Este libro trata la mayoría de estas técnicas desde el punto de vista práctico utilizando el software IBM SPSS MODELER (IBM SPSS CLEMENTINE), uno de los más adecuados del mercado para estas tareas.

Técnicas de minería de datos e inteligencia de negocios : IBM SPSS Modeler

Author : César Pérez López
Publisher :
ISBN 13 : 9788415452904
Total Pages : 460 pages
Book Rating : 4.4/5 (529 download)

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Book Synopsis Técnicas de minería de datos e inteligencia de negocios : IBM SPSS Modeler by : César Pérez López

Download or read book Técnicas de minería de datos e inteligencia de negocios : IBM SPSS Modeler written by César Pérez López and published by . This book was released on 2014 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Minería de datos

Author : María Pérez Marqués
Publisher : Alpha Editorial
ISBN 13 : 6076224746
Total Pages : 471 pages
Book Rating : 4.0/5 (762 download)

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Book Synopsis Minería de datos by : María Pérez Marqués

Download or read book Minería de datos written by María Pérez Marqués and published by Alpha Editorial. This book was released on 2015-06-17 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Con la ayuda de este libro, a través de ejemplos totalmente resueltos, el lector profundizará en el descubrimiento e interpretación de la información contenida en grandes conjuntos de datos. Se trata de exponer, con sencillez y mediante una metodología interactiva, los conceptos de minería de datos e inteligencia de negocios. Este libro analiza las herramientas más habituales y las posibilidades que ofrecen SAS, SAS Enterprise Guide, SAS Enterprise Miner, IBM SPSS e IBM SPSS Modeler.

CRISP -DM 1.0

Author : SPSS Inc
Publisher :
ISBN 13 : 9781568272436
Total Pages : 79 pages
Book Rating : 4.2/5 (724 download)

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Book Synopsis CRISP -DM 1.0 by : SPSS Inc

Download or read book CRISP -DM 1.0 written by SPSS Inc and published by . This book was released on 2000 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 1118729242
Total Pages : 563 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2016-04-18 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition "...full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing."– Research Magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature." – ComputingReviews.com "Excellent choice for business analysts...The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

DATA MINING con IBM SPSS a Traves de Ejemplos

Author : Antonio Prieto
Publisher : Createspace Independent Pub
ISBN 13 : 9781481843140
Total Pages : 388 pages
Book Rating : 4.8/5 (431 download)

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Book Synopsis DATA MINING con IBM SPSS a Traves de Ejemplos by : Antonio Prieto

Download or read book DATA MINING con IBM SPSS a Traves de Ejemplos written by Antonio Prieto and published by Createspace Independent Pub. This book was released on 2012-12-26 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: La minería de datos o Data Mining puede definirse inicialmente como un proceso de descubrimiento de nuevas y significativas relaciones, patrones y tendencias al examinar grandes cantidades de datos.La disponibilidad de grandes volúmenes de información y el uso generalizado de herramientas informáticas ha transformado el análisis de datos orientándolo hacia determinadas técnicas especializadas englobadas bajo el nombre de minería de datos o Data Mining.Las técnicas de minería de datos persiguen el descubrimiento automático del conocimiento contenido en la información almacenada de modo ordenado en grandes bases de datos. Estas técnicas tienen como objetivo descubrir patrones, perfiles y tendencias a través del análisis de los datos utilizando técnicas avanzadas como muestreo, análisis exploratorio de datos, técnicas de reducción de la dimensión, técnicas de modelización avanzada, clasificación, segmentación, predicción, reconocimiento de patrones y otras técnicas avanzadas de análisis de datos.Este libro trata la mayoría de estas técnicas desde el punto de vista práctico utilizando el software IBM SPSS, uno de los más adecuados del mercado para estas tareas.

Mining Relational and Nonrelational Data with IBM Intelligent Miner for Data

Author :
Publisher :
ISBN 13 : 9780738412337
Total Pages : 0 pages
Book Rating : 4.4/5 (123 download)

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Book Synopsis Mining Relational and Nonrelational Data with IBM Intelligent Miner for Data by :

Download or read book Mining Relational and Nonrelational Data with IBM Intelligent Miner for Data written by and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining: Know It All

Author : Soumen Chakrabarti
Publisher : Morgan Kaufmann
ISBN 13 : 0080877885
Total Pages : 477 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Data Mining: Know It All by : Soumen Chakrabarti

Download or read book Data Mining: Know It All written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2008-10-31 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

Sistemas De Big Data

Author :
Publisher :
ISBN 13 : 9788419034083
Total Pages : 0 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Sistemas De Big Data by :

Download or read book Sistemas De Big Data written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Enhance Your Business Applications

Author : IBM Redbooks
Publisher :
ISBN 13 : 9780738427799
Total Pages : 318 pages
Book Rating : 4.4/5 (277 download)

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Book Synopsis Enhance Your Business Applications by : IBM Redbooks

Download or read book Enhance Your Business Applications written by IBM Redbooks and published by . This book was released on 2002-01-01 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discovering Data Mining

Author : Peter Cabena
Publisher :
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Discovering Data Mining by : Peter Cabena

Download or read book Discovering Data Mining written by Peter Cabena and published by . This book was released on 1998 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through extensive case studies and examples, this book provides practical guidance on all aspects of implementing data mining: technical, business, and social. The book also demonstrates IBM's powerful new intelligent Miner tool and shows how it can be applied.

Data Mining Methods and Models

Author : Daniel T. Larose
Publisher : Wiley-IEEE Press
ISBN 13 : 9780471666561
Total Pages : 344 pages
Book Rating : 4.6/5 (665 download)

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Book Synopsis Data Mining Methods and Models by : Daniel T. Larose

Download or read book Data Mining Methods and Models written by Daniel T. Larose and published by Wiley-IEEE Press. This book was released on 2006-01-30 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes a companion Web site, www.dataminingconsultant.com, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources. Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available onlne.

Técnicas de Minería de Datos a Través de IBM SPSS Statistics

Author : Felicidad Marqués
Publisher :
ISBN 13 : 9781717745835
Total Pages : 305 pages
Book Rating : 4.7/5 (458 download)

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Book Synopsis Técnicas de Minería de Datos a Través de IBM SPSS Statistics by : Felicidad Marqués

Download or read book Técnicas de Minería de Datos a Través de IBM SPSS Statistics written by Felicidad Marqués and published by . This book was released on 2018-07-12 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: El desarrollo de las fases del proceso de extracción del conocimiento o Minería de Datos y su enriquecimiento y profundización a través de ejemplos resueltos con el software IBM SPSS Statistics es el objetivo fundamental de este libro. El proceso de extracción de conocimiento a partir de datos (KDD) o Minería de Datos (Data Mining) consta de varias fases que pueden resumirse en la secuencia siguiente: selección -> exploración -> limpieza -> transformación -> análisis o minería de datos -> evaluación -> difusión. En la fase de selección se identifican y seleccionan las variables relevantes en los datos y se aplican las técnicas de muestro adecuadas. Dado que los datos provienen de diferentes fuentes, es necesaria su exploración mediante técnicas de análisis exploratorio de datos. A continuación es necesaria la limpieza de los datos, ya que pueden contener valores atípicos, valores faltantes y valores erróneos. A continuación, si es necesario, se lleva a cabo la transformación de los datos, generalmente mediante técnicas de reducción o aumento de la dimensión y escalado simple y multidimensional, entre otras. Las cuatro primeras fases se suelen englobar bajo el nombre de preparación de datos. En la fase de análisis de datos, se decide cuál es la tarea a realizar (clasificar, agrupar, etc.) y se elige la técnica descriptiva o predictiva que se va a utilizar. En la fase de evaluación e interpretación se evalúan los patrones y se analizan por los expertos, y si es necesario se vuelve a las fases anteriores para una nueva iteración. Finalmente, en la fase de difusión se hace uso del nuevo conocimiento y se hace partícipe de él a todos los posibles usuarios.

Data Mining

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 9783319141411
Total Pages : 734 pages
Book Rating : 4.1/5 (414 download)

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Book Synopsis Data Mining by : Charu C. Aggarwal

Download or read book Data Mining written by Charu C. Aggarwal and published by Springer. This book was released on 2015-04-27 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago