IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions
bGet to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler/bh2About This Book/h2ulliGet up- and-running with IBM SPSS Modeler without going into too much depth./liliIdentify interesting relationships within your data and build effective data mining and predicti...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
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| Ausgabe: | 1 |
| Schlagwörter: | |
| Zusammenfassung: | bGet to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler/bh2About This Book/h2ulliGet up- and-running with IBM SPSS Modeler without going into too much depth./liliIdentify interesting relationships within your data and build effective data mining and predictive analytics solutions/liliA quick, easy- to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business/li/ulh2Who This Book Is For/h2This 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.h2What You Will Learn/h2ulliUnderstand the basics of data mining and familiarize yourself with Modeler's visual programming interface/liliImport data into Modeler and learn how to properly declare metadata/liliObtain summary statistics and audit the quality of your data/liliPrepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields/liliAssess simple relationships using various statistical and graphing techniques/liliGet an overview of the different types of models available in Modeler/liliBuild a decision tree model and assess its results/liliScore new data and export predictions/li/ulh2In Detail/h2IBM 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. |
| Umfang: | 1 Online-Ressource (238 Seiten) |
| ISBN: | 9781788296823 |
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| 520 | |a bGet to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler/bh2About This Book/h2ulliGet up- and-running with IBM SPSS Modeler without going into too much depth./liliIdentify interesting relationships within your data and build effective data mining and predictive analytics solutions/liliA quick, easy- to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business/li/ulh2Who This Book Is For/h2This 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. | ||
| 520 | |a An understanding of basic data mining concepts will be helpful, to get the best out of the book.h2What You Will Learn/h2ulliUnderstand the basics of data mining and familiarize yourself with Modeler's visual programming interface/liliImport data into Modeler and learn how to properly declare metadata/liliObtain summary statistics and audit the quality of your data/liliPrepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields/liliAssess simple relationships using various statistical and graphing techniques/liliGet an overview of the different types of models available in Modeler/liliBuild a decision tree model and assess its results/liliScore new data and export predictions/li/ulh2In Detail/h2IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. | ||
| 520 | |a 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. | ||
| 650 | 4 | |a COMPUTERS / Data Processing | |
| 650 | 4 | |a COMPUTERS / Databases / Data Mining | |
| 700 | 1 | |a McCormick, Keith |e Sonstige |4 oth | |
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| id | DE-604.BV047069642 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:08:53Z |
| institution | BVB |
| isbn | 9781788296823 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032476668 |
| oclc_num | 1227480247 |
| open_access_boolean | |
| physical | 1 Online-Ressource (238 Seiten) |
| psigel | ZDB-5-WPSE |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Packt Publishing Limited |
| record_format | marc |
| spelling | Salcedo, Jesus Verfasser aut IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions Salcedo, Jesus 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (238 Seiten) txt rdacontent c rdamedia cr rdacarrier bGet to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler/bh2About This Book/h2ulliGet up- and-running with IBM SPSS Modeler without going into too much depth./liliIdentify interesting relationships within your data and build effective data mining and predictive analytics solutions/liliA quick, easy- to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business/li/ulh2Who This Book Is For/h2This 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.h2What You Will Learn/h2ulliUnderstand the basics of data mining and familiarize yourself with Modeler's visual programming interface/liliImport data into Modeler and learn how to properly declare metadata/liliObtain summary statistics and audit the quality of your data/liliPrepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields/liliAssess simple relationships using various statistical and graphing techniques/liliGet an overview of the different types of models available in Modeler/liliBuild a decision tree model and assess its results/liliScore new data and export predictions/li/ulh2In Detail/h2IBM 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. COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining McCormick, Keith Sonstige oth |
| spellingShingle | Salcedo, Jesus IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| title | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions |
| title_auth | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions |
| title_exact_search | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions |
| title_full | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions Salcedo, Jesus |
| title_fullStr | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions Salcedo, Jesus |
| title_full_unstemmed | IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions Salcedo, Jesus |
| title_short | IBM SPSS Modeler Essentials |
| title_sort | ibm spss modeler essentials effective techniques for building powerful data mining and predictive analytics solutions |
| title_sub | Effective techniques for building powerful data mining and predictive analytics solutions |
| topic | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
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