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Building Data Mining Model with IBM SPSS Modeler
 
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Building Data Mining Model with IBM SPSS Modeler
Views: 4450 Chuc Nguyen Van
SPSS Essentials: Using SPSS for Data Mining and Big Data Analytics
 
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This AZTech training course is designed for all people involved in data mining and data analysis, as well as planning and forecasting, and especially the ones who are inclined to the use of graphical software interface, and their busy schedules are not allowing them to learn or apply programming languages like JAVA, R or Python. Read More: http://aztechtraining.com/course/spss-essentials Visit our Website: http://aztechtraining.com/ Senior Consultant: Sasa Kocic
Constructing Predictive Model Using IBM SPSS Modeler
 
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This tutorial shows how to construct a predictive model using IBM SPSS Modeler. We use the Boston Housing dataset for our illustration. In addition, we also discuss how to evaluate the performance of the model using different nodes such as Graph Evaluation and Data Analysis Node. I hope you enjoy it and please let me know if you have any questions. Thanks for watching.
Views: 19343 IT_CHANNEL
SPSS Modeler Tutorial 1 - Part1
 
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This tutorial is made by Center for Marketing Engineering, The Chinese University of Hong Kong. Objectives of Tutorial 1: 1. Learn basic skills of SPSS Modeler 2. Learn RFM Analysis of SPSS Modeler Data for master 2015: https://www.dropbox.com/s/rl9og69eef18t4t/SPSS%20Modeler%20Tutorial%201.zip?dl=0 Data for Undergraduate 2016: https://www.dropbox.com/s/tajyuwhj0usfdnk/SPSS%20Tutorial%20Fall%202016.rar?dl=0
Data Mining with SPSS Modeler
 
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Learn more at: http://www.springer.com/978-3-319-28707-2. Opens data mining to those without programming skills. Features numerous explanatory illustrations and data examples. Covers all levels of complexity, from basic statistics to advanced predictive modeling. Main Discipline: Statistics
Views: 565 SpringerVideos
Data Mining and Predictive Analytics in IBM SPSS Modeler
 
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The US faces a shortage of 1.5 million managers who know how to use the analysis of data to make effective decisions. McKinsey and Company. https://theachieveher.com/p/business-data-analytics-ibm-spss-modeler This predictive analytics course if for you if you are a … •Manager who wants to know how to use the analysis of data to make effective decisions. •Analyst who wants to understand data science even if you never intend to apply it yourself. •Anyone interested in learning about data mining. (IBM offers a free 30-day trial so let's get started!) •Scientist who wants to integrate text from your Twitter, Facebook or customer surveys into your predictive analysis. •Person who assesses proposals to improve some part of your organization’s business. •Beginner to IBM SPSS modeler 16 or 17 and looking for the best set of tutorials and demonstrations available online! •Data scientist who is just getting started with predictive analytics and wants to understand how to solve business problems with analytics in SPSS Modeler. So are you ready to easily and quickly answer data mining questions like: •Who are my best customers and what do they buy? •Why do they leave? •Which piece of equipment will fail next? •Or… which donors are likely to donate again? This course consists of extremely real world hands on demonstrations to immerse you in the most common prediction models, decision trees, clustering, and text analytics. So get ready to: 1.Segment your customers using popular models like K-Means. 2.Predict an amount of giving using several types of decision trees including C and R Trees. 3.Merge quantitative and qualitative data using text analytics. 4.Use a host of visual analytics like web and distribution nodes. 5.Use unsupervised clustering techniques to divide a population of customers into understandable groups. 6.Learn how to isolate the best input predictors using feature selection. 7.Export your insights to Excel and much more! Join me at https://theachieveher.com/p/business-data-analytics-ibm-spss-modeler
Data Analysis in SPSS Made Easy
 
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Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 834739 Claus Ebster
Tutorial: Data Cleaning
 
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0:06 – Impossible Values and Response Sets 3:43 – Missing Data 7:45 – Outliers 11:33 – Normality
Views: 19679 Meredith Rocchi
SPSS for Beginners 1: Introduction
 
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Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
Views: 1500498 Research By Design
Market Basket Analysis for Grocers using IBM SPSS
 
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Identify Customer purchase patterns based on their purchase history and demographic information using IBM SPSS Modeler. Watch how to use Apriori node to produce association rules, “web” nodes to visualize the association rules and then use a tree-based model to predict customer purchase pattern.
Views: 1672 Cresco International
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 69967 edureka!
Data Analysis:  Clustering and Classification (Lec. 1, part 1)
 
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Supervised and unsupervised learning algorithms
Views: 67024 Nathan Kutz
Seven secrets of SPSS Modeler
 
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This video is the first in a series offering insight into some under-used or little-used cool functions in SPSS Modeler software. This is particularly aimed at either 1) existing users (especially the self-taught) 2) people who have looked at/evaluated the software in the past 3) people who use similar software but are curious about stuff like this. In this first video you can learn about:- 1. The Data Audit Node: The ‘Swiss army knife’ of data cleaning 2. The ‘Generate’ menu: The super quick way to create new fields 3. The Filter Node: Zaps Awkward Fields 4. The Graphboard Node: A Visualisation Goldmine 5. The Simulation Nodes: Makes ‘What if’ analysis easy 6. The Reclassify Node: Cleaning categories has never been easier 7. The ‘Split’ Role: Separate models for separate groups
Views: 14680 Smart Vision Europe
IBM SPSS Modeler Essentials : Selecting Cases | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2zsobAF]. The aim of this video is to show you how to select the appropriate cases for a data mining project. • Data preparation • Select Node • Expression Builder For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 762 Packt Video
Webinar PSE   Data Mining com IBM SPSS Modeler
 
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O objectivo do webinar é o de demonstrar o software de data mining IBM SPSS Modeler e mostrar a sua utilidade na implementação de soluções de análise preditiva, nomeadamente para identificação das preferências de compras (basket analysis) e para detecção de clientes com intenção de terminar a relação comercial com uma empresa (churning)
Data Science for Business: Data Mining Process and CRISP DM
 
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This lesson provides an introduction to the data mining process with a focus on CRISP-DM. This video was created by Cognitir (formerly Import Classes). Cognitir is a global company that provides live training courses to business & finance professionals globally to help them acquire in-demand tech skills. For additional free resources and information about training courses, please visit: www.cognitir.com
Views: 14794 Cognitir
How To Do Data Mining With IBM SPSS Modeler - Predictive Modeling Techniques Without Programming
 
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http://bit.ly/LearnIBMSPSSModeler (This Is An Affiliate Link, So I Can Make Money If The Visitors Purchasing The Product/Service) How To Do Data Mining With IBM SPSS Modeler - Predictive Modeling Techniques Without Programming.
Views: 1828 M Ridwan
Data cleaning in SPSS
 
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How to find and correct obvious errors using the software SPSS. More information is available on: http://science-network.tv/clean-data-file/
Views: 71049 Science Network TV
Webinar PSE   Data Mining com IBM SPSS Modeler
 
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Uma demonstração do software de data mining IBM SPSS Modeler e mostrar a sua utilidade na implementação de soluções de análise preditiva, nomeadamente para identificação das preferências de compras (basket analysis) e para detecção de clientes com intenção de terminar a relação comercial com uma empresa (churning).
Views: 93 Carlos Gomes
Creating a Decision Tree with IBM SPSS Modeler
 
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This clip demonstrates the use of IBM SPSS Modeler and how to create a decision tree. Such a tool can be a useful business practice and is used in predictive analytics. Please visit www.newcomp.com for more information.
Views: 101635 GoNewcomp
Demo IBM Cognos & IBM SPSS-Datamining
 
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Demo IBM Cognos & IBM SPSS Datamining
Views: 8189 Friedel Jonker
Harvesting Facebook data from IBM SPSS Statistics
 
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Learn how to build an extension in IBM SPSS Statistics that imports data from a public Facebook page. For more information, explore the blog post: http://ibm.co/1OEln0M Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub: http://www.ibmbigdatahub.com https://www.youtube.com/user/ibmbigdata https://www.facebook.com/IBManalytics https://www.twitter.com/IBMbigdata https://www.linkedin.com/company/ibm-big-data-&-analytics https://www.slideshare.net/IBMBDA
Views: 2223 IBM Analytics
C2020-013 – IBM Exam SPSS Modeler Data Test Mining Questions
 
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For more information on IBM Practice Test Questions Please Visit: https://www.Pass-Guaranteed.com/C2020-013.htm What am I going to be tested for? The IBM C2020-013 exam tests your knowledge, skills, and abilities necessary to perform installation, configuration, administration and problem determination of data mining and the fundamentals of using IBM SPSS Modeler, and demonstrates the features and functions of this product to the end user. Which are some of the topics of the C2020-013 Modeler exam? C2020-013 Test Topic 1: Business Test Understanding Questions (Exam Coverage 8%) C2020-013 Test Topic 2: General Operations in Modeler Questions (Exam Coverage 20%) C2020-013 Test Topic 3: Data Test Understanding Questions (Exam Coverage 20%) C2020-013 Test Topic 4: Data Preparation Questions (Exam Coverage 28%) C2020-013 Test Topic 5: Modeling Test Questions (Exam Coverage 16%) C2020-013 Test Topic 6: Deployment Questions (Exam Coverage 8%) Who can attend to the IBM SPSS Modeler Data Mining for Business Partners v2 test? The IBM C2020-013 SPSS Modeler Data Mining for Business Partners (C2020-013) exam is designed mainly for Business Partners with a beginning knowledge of IBM SPSS Modeler version 14 or higher working and use the IBM SPSS Modeler product to perform data mining activities including data preparation, data understanding, and modeling. Can you give me some in-depth information on the C2020-013 exam topics? • Review of the C2020-013 CRISP methodology • Building streams • Running C2020-013 streams • Extent of missing data • Outliers • Automated C2020-013 data preparation • Auto classifier • Exporting C2020-013 model results What’s the C2020-013 passing score and duration? The duration of this exam is 60 minutes (25 questions) and the minimum passing score is 64%
Views: 150 Jacqueline Hornbeck
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
 
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The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 879191 Dr Nic's Maths and Stats
Constructing Classification and Regression Tree (CART) Using IBM SPSS Modeler
 
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In this tutorial, I will show you how to construct and Classification and Regression Tree (CART) for data mining purposes. We show through example of bank loan application dataset. We then will show steps to explore and interpret the constructed tree. I hope that help and let me know if you have any questions. Thanks.
Views: 18036 IT_CHANNEL
SPSS for Beginners 1  Introduction
 
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SPSS Statistics is a software package used for statistical analysis. Long produced by SPSS Inc., it was acquired by IBMin 2009. The current versions (2014) are officially named IBM SPSS Statistics. Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
Views: 2544 Ravi Mandal
Dive into IBM SPSS Text Analytics for Surveys
 
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Check out this demonstration of IBM SPSS Text Analytics for Surveys to help you get up and running quickly with your free trial. Learn more about IBM SPSS http://ibm.co/spsstrial Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub: http://www.ibmbigdatahub.com https://www.youtube.com/user/ibmbigdata https://www.facebook.com/IBManalytics https://www.twitter.com/IBMAnalytics https://www.linkedin.com/company/ibm-big-data-&-analytics https://www.slideshare.net/IBMBDA
Views: 10627 IBM Analytics
[testpassport.de] C2090-013 leicht zu bestehen!IBM SPSS Modeler Data Mining for Business Partners v2
 
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http://www.testpassport.de/IBM-Certified-Associate/C2090-013.asp bietet die neueste Fragen und Antwort der Prüfung C2090-013 IBM SPSS Modeler Data Mining for Business Partners v2 an. Wir versprechen, 1. Aktualisierung in 1 Jahr 2. Voller Betrag zurück wenn nicht bestanden Unsere Webseite: http://www.testpassport.de/ Sofort kontaktieren Sie uns an [email protected] oder [email protected]
Views: 1 Testpassport De
K-means cluster analysis SPSS
 
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In this video I show how to conduct a k-means cluster analysis in SPSS, and then how to use a saved cluster membership number to do an ANOVA
Views: 66140 James Gaskin
passtest.de! C2090-013 IBM SPSS Modeler Data Mining for Business Partners v2
 
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Unsere Homepage: www.passtest.de Prüfungsunterlagen der IBM C2090-013: http://www.passtest.de/IBM-Certified-Associate/C2090-013.asp Klicken für Rabattcode: http://www.passtest.de/Promotion.asp Kontaktieren Sie uns an: [email protected]
Views: 6 pass test
IBM SPSS Modeler Demonstration
 
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IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. To learn more, visit http://www.ndm.net/datawarehouse/IBM/spss-modeler
Views: 8244 NDMSolutions
Data Mining - SPSS- Modeler: Studi Kasus Balita Gizi Buruk NTB Part 2
 
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Seri belajar dengan studi kasus Balita Gizi buruk NTB
Views: 52 ike kurniati
C2090-013  IBM SPSS Modeler Data Mining for Business Partners v2 Latest exam dumps
 
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Please visit at www.brainitworks.com or email us at [email protected] • Complete set of 50 to 350 total numbers of Questions & Answers Set along with accurate explanation. PPT in PDF format will be given, which may be get printed to test your knowledge before going for the real exam. • Questions & Answers set shall be given for practice similar like, which you will getting in real time examination. • IBM recommends combining education courses and hands-on experience to prepare for your certification exam as questions will test your ability to apply the knowledge you have gained in training. • Three Resume samples will be given for fresher, Mid-experience & Advance level Experience IBM aspirants. • 60 Days Free Updates • 10 years in the business, more than 414952 of happy customers. • Amazing 99.6% exam pass rate. Join our success! Awesome rate of Success. Trust us for best results, at the best price. IT Certifications made easy with Accurate & Update Questions. Expand your Qualification with our Self-Paced User-Friendly Exam. Prepare your certification exams with Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you with learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers, our preparation materials contribute to industry's highest 99.6% pass rate among our customers. Just like all our exams.
Views: 4 Andrea Jones
Data Mining - SPSS- Modeler: Study Kasus Balita Gizi Buruk NTB Part 5
 
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Seri Sharing Session studi kasus Balita Gizi Buruk
Views: 49 ike kurniati
Webinar: Introduction to SPSS Text Analytics
 
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If you have questions or comments on the content of this video, please email us at [email protected] What can we do with our textual survey data? How can we gain deeper insights on what our customers are saying about our company and products beyond simple closed-ended questions? Companies large and small are trying to unlock the insights and answers that are contained in natural language texts. These insights are the key to gaining a competitive edge in today’s marketplace. To learn more, watch a replay of our webinar here. - See more at: http://www.lpa.com/resources/#sthash.6wYOuSKZ.dpuf
Views: 11307 LPA Software Solutions
Cucudata Short Videos: SPSS Data Analysis Tutorial Lecture 1 Introduction to SPSS User Interface
 
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For More Videos and Files Download More Data and Information Ask Experts & Get Answers Our Professional Team Provides a Comprehensive Data Analysis & Data Mining Services Please Visit:www.cucudata.com
Views: 71 spss
Text Analytics in IBM SPSS Modeler 18.2
 
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Learn how to use the text analytics capabilities included in IBM SPSS Modeler 18.2
Views: 452 DTE
ROC Curves and Area Under the Curve (AUC) Explained
 
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An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 298669 Data School
Using SPSS Modeler to perform a market basket analysis in a Retail scenario
 
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Si deseas más información entra aquí: http://www.nexolution.com/
Views: 2845 Nexolution BA
Анализ потребительской корзины на платформе IBM SPSS
 
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2012 г. Как понять по какому принципу потребители формируют потребительские корзины? И как определить портрет потребителя? Александр Ефимов, руководитель практики data mining компании КРОК, подготовил пошаговую инструкцию, и на примере модели, реализованной на платформе IBM SPSS. В ролике показан путь от анализа входных данных, полученных из карт лояльности и транзакционных систем, до выявления выраженных связей между товарными категориями и анализом портрета потребителя.
Views: 931 Crocincor
Using IBM SPSS Modeler with Text Analytics
 
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Learn how to examine a column of unstructured text using IBM SPSS Modeler with Text Analytics
Views: 37543 Gregory Fulkerson
Data Mining - SPSS- Modeler: Studi Kasus Balita Gizi Buruk NTB Part 6
 
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Data Understanding & Data preparation
Views: 38 ike kurniati
Data Mining - SPSS- Modeler: Studi Kasus Balita Gizi Buruk NTB Part 1
 
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Seri belajar Data Mining dengan studi kasus Balita Gizi buruk di NTB
Views: 103 ike kurniati
Customer Analytics with SPSS Modeler
 
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If you have questions or comments on the contents of this video, please email us at [email protected] There has been considerable change in the relationship between customers and companies. With the ease of online access, customers are now empowered to know their vendors and control their relationships with them including the freedom to switch vendors easily. Companies have the ability to know their customers and market to them on a personalized basis using data mining and predictive analytics technologies. Customer analytics unlock insights that enable companies to add new customers and grow their business as well as improve their understanding of what their customers want. It uncovers hidden insights in customer data to enable the creation of personalized experiences that win more business while reducing costs and increasing customer loyalty. Customer analytics solutions using IBM technology can help your organization: •Identify and target the best customers for marketing programs •Predict which customers will respond to your offers •Improve sales forecasting and minimize sales cycles •Predict which customers are at risk of leaving and retain them •Maximize customer lifetime value through personalized up-sell and cross-sell This webinar illustrates how to extend your organization's ability to make smarter decisions using Predictive Analytics. The webinar also includes a demonstration on the of SPSS Modeler to build a model for a specific use case.
Views: 14055 LPA Software Solutions