Kooperativer Bibliotheksverbund

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Format: 1 online resource (531 pages) : , illustrations

ISBN: 9781119003557 , 9781119003663 (e-book)

Note: Includes index.

Additional Edition: Print version: McCormick, Keith (Consultant). SPSS Statistics for data analysis and visualization. Indianapolis, Indiana : Wiley, c2017 ISBN 9781119003557

Language: English

Subjects: Computer Science , Economics

Keywords: Electronic books. ; Electronic books. ; Lehrbuch ; Electronic books. ; Lehrbuch ; Electronic books.

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URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183426

URL: Volltext  (URL des Erstveröffentlichers)

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183426

URL: Volltext  (URL des Erstveröffentlichers)

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183426

UID:

Format: 238 S , 22 cm

Edition: 1. ed

ISBN: 9801108231

Note: Includes bibliographical references

Language: Spanish

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Format: XII, 466 Seiten , Illustrationen, Diagramme

Edition: 4th edition

ISBN: 9781119560838

Series Statement: For dummies ...

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-119-56087-6

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-119-56082-1

Language: English

Subjects: Computer Science

Keywords: SPSS ; Statistische Analyse ; Lehrbuch

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Format: xxxviii, 490 Seiten : , Illustrationen, Diagramme, Karten.

ISBN: 978-1-119-00355-7

Series Statement: Timely, practical, reliable

Note: "Foreword by Jason Verlen" - Auf dem Cover

Additional Edition: Erscheint auch als Online-Ausgabe, ebk ISBN 978-1-119-00557-5

Additional Edition: Erscheint auch als Online-Ausgabe, ebk ISBN 978-1-119-00366-3

Language: English

Subjects: Computer Science , Economics

Keywords: SPSS ; Statistische Analyse ; Visualisierung ; Lehrbuch

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029800261&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

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Format: 1 online resource (387 pages) : , illustrations (some color), tables.

Edition: Third edition.

ISBN: 9781118989029 (e-book) , 9781118989036 (e-book)

Series Statement: For Dummies

Note: Includes index.

Additional Edition: Print version: McCormick, Keith (Consultant) SPSS statistics for dummies. Hoboken, New Jersey ; John Wiley & Sons, Inc., c2015 ISBN 9781118989012

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 Online-Ressource (xxxviii, 490 Seiten) , Illustrationen, Diagramme

ISBN: 9781119183426 , 9781119005575 , 9781119003663

Series Statement: Wiley online library

Content: This book includes the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python

Note: Includes index. - Online resource; title from PDF title page (EBSCO, viewed May 23, 2017 , Advanced Statistics , Advanced Statistics. Comparing and Contrasting IBM SPSS AMOS with Other Multivariate Techniques , Monte Carlo Simulation and IBM SPSS Bootstrapping , Regression with Categorical Outcome Variables , Building Hierarchical Linear Models , Data Visualization , Data Visualization. Take Your Data Visualizations to the Next Level , The Code Behind SPSS Graphics: Graphics Production Language , Mapping in IBM SPSS Statistics , Geospatial Analytics , Perceptual Mapping with Correspondence Analysis, GPL, and OMS , Display Complex Relationships with Multidimensional Scaling , Predictive Analytics , Predictive Analytics. SPSS Statistics versus SPSS Modeler: Can I Be a Data Miner Using SPSS Statistics? , IBM SPSS Data Preparation , Model Complex Interactions with IBM SPSS Neural Networks , Powerful and Intuitive: IBM SPSS Decision Trees , Find Patterns and Make Predictions with K Nearest Neighbors , Syntax, Data Management, and Programmability , Syntax, Data Management, and Programmability. Write More Efficient and Elegant Code with SPSS Syntax Techniques , Automate Your Analyses with SPSS Syntax and the Output Management System , Statistical Extension Commands , Advanced Statistics , Advanced Statistics. Comparing and Contrasting IBM SPSS AMOS with Other Multivariate Techniques , Monte Carlo Simulation and IBM SPSS Bootstrapping , Regression with Categorical Outcome Variables , Building Hierarchical Linear Models , Data Visualization , Data Visualization. Take Your Data Visualizations to the Next Level , The Code Behind SPSS Graphics: Graphics Production Language , Mapping in IBM SPSS Statistics , Geospatial Analytics , Perceptual Mapping with Correspondence Analysis, GPL, and OMS , Display Complex Relationships with Multidimensional Scaling , Predictive Analytics , Predictive Analytics. SPSS Statistics versus SPSS Modeler: Can I Be a Data Miner Using SPSS Statistics? , IBM SPSS Data Preparation , Model Complex Interactions with IBM SPSS Neural Networks , Powerful and Intuitive: IBM SPSS Decision Trees , Find Patterns and Make Predictions with K Nearest Neighbors , Syntax, Data Management, and Programmability , Syntax, Data Management, and Programmability. Write More Efficient and Elegant Code with SPSS Syntax Techniques , Automate Your Analyses with SPSS Syntax and the Output Management System , Statistical Extension Commands

Additional Edition: ISBN 9781119003557

Additional Edition: Erscheint auch als Druck-Ausgabe McCormick, Keith (Consultant) SPSS Statistics for data analysis and visualization Indianapolis, Indiana : Wiley, ©2017 ISBN 9781119003557

Additional Edition: Erscheint auch als Druck-Ausgabe McCormick, Keith SPSS statistics for data analysis and visualization Indianapolis, Indiana : Wiley, 2017 ISBN 1119003555

Additional Edition: ISBN 9781119003557

Language: English

Subjects: Computer Science

Keywords: Datenanalyse ; Visualisierung ; Electronic books

DOI: 10.1002/9781119183426

URL: Volltext

URL: Volltext

URL: Volltext  (lizenzpflichtig)

URL: Volltext

URL: lizenzpflichtig

URL: Cover

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Format: 1 online resource (218 pages) : , illustrations (some color)

Edition: 1st edition

ISBN: 1-78829-682-6

Content: Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler About This Book Get up?and-running with IBM SPSS Modeler without going into too much depth. Identify interesting relationships within your data and build effective data mining and predictive analytics solutions A quick, easy?to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business Who This Book Is For This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book. What You Will Learn Understand the basics of data mining and familiarize yourself with Modeler's visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions In Detail IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler's easy to learn ?visual programming? style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This bo...

Note: Includes index. , Cover -- Copyright -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Dedication -- Table of Contents -- Preface -- Chapter 1: Introduction to Data Mining and Predictive Analytics -- Introduction to data mining -- CRISP-DM overview -- Business Understanding -- Data Understanding -- Data Preparation -- Modeling -- Evaluation -- Deployment -- Learning more about CRISP-DM -- The data mining process (as a case study) -- Summary -- Chapter 2: The Basics of Using IBM SPSS Modeler -- Introducing the Modeler graphic user interface -- Stream canvas -- Palettes -- Modeler menus -- Toolbar -- Manager tabs -- Project window -- Building streams -- Mouse buttons -- Adding nodes -- Editing nodes -- Deleting nodes -- Building a stream -- Connecting nodes -- Deleting connections -- Modeler stream rules -- Help options -- Help menu -- Dialog help -- Summary -- Chapter 3: Importing Data into Modeler -- Data structure -- Var. File source node -- Var. File source node File tab -- Var. File source node Data tab -- Var. File source node Filter tab -- Var. File source node Types tab -- Var. File source node Annotations tab -- Viewing data -- Excel source node -- Database source node -- Levels of measurement and roles -- Summary -- Chapter 4: Data Quality and Exploration -- Data Audit node options -- Data Audit node results -- The Quality tab -- Missing data -- Ways to address missing data -- Defining missing values in the Type node -- Imputing missing values with the Data Audit node -- Summary -- Chapter 5: Cleaning and Selecting Data -- Selecting cases -- Expression Builder -- Sorting cases -- Identifying and removing duplicate cases -- Reclassifying categorical values -- Summary -- Chapter 6: Combining Data Files -- Combining data files with the Append node -- Removing fields with the Filter node. , Combining data files with the Merge node -- The Filter tab -- The Optimization tab -- Summary -- Chapter 7: Deriving New Fields -- Derive - Formula -- Derive - Flag -- Derive - Nominal -- Derive - Conditional -- Summary -- Chapter 8: Looking for Relationships Between Fields -- Relationships between categorical fields -- Distribution node -- Matrix node -- Relationships between categorical and continuous fields -- Histogram node -- Means node -- Relationships between continuous fields -- Plot node -- Statistics node -- Summary -- Chapter 9: Introduction to Modeling Options in IBM SPSS Modeler -- Classification -- Categorical targets -- Numeric targets -- The Auto nodes -- Data reduction modeling nodes -- Association -- Segmentation -- Choosing between models -- Summary -- Chapter 10: Decision Tree Models -- Decision tree theory -- CHAID theory -- How CHAID processes different types of input variables -- Stopping rules -- Building a CHAID Model -- Partition node -- Overfitting -- CHAID dialog options -- CHAID results -- Summary -- Chapter 11: Model Assessment and Scoring -- Contrasting model assessment with the Evaluation phase -- Model assessment using the Analysis node -- Modifying CHAID settings -- Model comparison using the Analysis node -- Model assessment and comparison using the Evaluation node -- Scoring new data -- Exporting predictions -- Summary -- Index.

Additional Edition: ISBN 1-78829-111-5

Language: English

UID:

Format: XII, 370 S. : , Ill., graph. Darst.

Edition: 3. ed.

ISBN: 1-118-98901-5 , 978-1-118-98901-2

Series Statement: For dummies ...

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-118-98902-9

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-118-98903-6

Language: English

Subjects: Computer Science

Keywords: SPSS ; Statistische Analyse ; Lehrbuch

URL: Inhaltstext

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Format: vii, 326 Seiten : , Illustrationen, Diagramme.

ISBN: 978-1-394-15630-6

Series Statement: ... for dummies

Additional Edition: Erscheint auch als Online-Ausgabe, PDF ISBN 978-1-394-15632-0

Additional Edition: Erscheint auch als Online-Ausgabe, EPUB ISBN 978-1-394-15631-3

Language: English

Subjects: Computer Science

UID:

Format: 1 online resource (247 pages)

ISBN: 9781838821555 (e-book)

Additional Edition: Print version: Salcedo, Jesus. Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling. Birmingham ; Mumbai : Packt Publishing Ltd, c2019 ISBN 9781838828974

Language: English

Keywords: Electronic books.

URL: Click to View