IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions by Jesus Salcedo & Keith McCormick
Author:Jesus Salcedo & Keith McCormick [Salcedo, Jesus]
Language: eng
Format: epub, azw3
Tags: COM062000 - COMPUTERS / Data Modeling and Design, COM021030 - COMPUTERS / Databases / Data Mining, COM018000 - COMPUTERS / Data Processing
Publisher: Packt Publishing
Published: 2017-12-26T00:00:00+00:00
Notice that we have the same number of records as before, however the last two fields have been removed.
Combining data files with the Merge node
In many organizations, different pieces of information for the same individuals are held in separate locations. To be able to analyze such information within Modeler, the data files must be combined into one single file. The Merge node joins two or more data sources so that information held for an individual in different locations can be analyzed collectively. The following diagram shows how the Merge node can be used to combine two separate data files that contain different types of information:
Download
IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions by Jesus Salcedo & Keith McCormick.azw3
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8309)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(6789)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(6765)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(6651)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(6438)
Driving Data Quality with Data Contracts by Andrew Jones(6378)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(6138)
Learning SQL by Alan Beaulieu(6004)
Weapons of Math Destruction by Cathy O'Neil(5795)
Big Data Analysis with Python by Ivan Marin(5388)
Data Engineering with dbt by Roberto Zagni(4393)
Solidity Programming Essentials by Ritesh Modi(4043)
Time Series Analysis with Python Cookbook by Tarek A. Atwan(3900)
Pandas Cookbook by Theodore Petrou(3601)
Blockchain Basics by Daniel Drescher(3305)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2914)
Feature Store for Machine Learning by Jayanth Kumar M J(2819)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(2802)
Mastering Python for Finance by Unknown(2748)
