- IBM SPSS Modeler Essentials
- Jesus Salcedo Keith McCormick
- 84字
- 2021-07-02 20:04:42
Introduction to Data Mining and Predictive Analytics
IBM SPSS Modeler is an interactive data mining workbench composed of multiple tools and technologies to support the entire data mining process. In this first chapter, readers will be introduced to the concepts of data mining, CRISP-DM, which is a recipe for doing data mining the right way, and a case study outlining the data mining process. The chapter topics are as follows:
- Introduction to data mining
- CRISP-DM overview
- The data mining process (as a case study)
推薦閱讀
- 自動控制工程設(shè)計入門
- Seven NoSQL Databases in a Week
- 精通Excel VBA
- 電腦上網(wǎng)直通車
- 數(shù)據(jù)庫原理與應(yīng)用技術(shù)
- 21天學(xué)通Java Web開發(fā)
- Cloudera Administration Handbook
- Excel 2007技巧大全
- R Machine Learning Projects
- 嵌入式GUI開發(fā)設(shè)計
- IBM? SmartCloud? Essentials
- INSTANT VMware vCloud Starter
- Kubernetes on AWS
- 新世紀Photoshop CS6中文版應(yīng)用教程
- 系統(tǒng)建模與控制導(dǎo)論