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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Data Mining and Business Analytics with R

and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;

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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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Customer And Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Customer and Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;

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Getting Started with Business Analytics

for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data;

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R for Business Analytics

of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;

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Rapidminer

an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application;

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Python for R Users

scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as;

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Business Analytics

visualization and data mining, which are increasingly important in today's analytical problem solving. MindTap digital learning resources with an;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Data Analytics

This book has lots of valuable eye-opening information about data analytics, which will help you understand the concept of data mining;

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Spreadsheet Modeling and Decision Analysis

(R) and Data Mining add-ins. This edition helps you develop both algebraic and spreadsheet modeling skills. Step-by-step instructions and;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Statistical Data Analytics

introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are;

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Spreadsheet Modeling & Decision Analysis

powerful simulation and optimization tools for descriptive and prescriptive analytics and a full suite of tools for data mining in Excel.;

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Data Mining with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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Data Mining with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Building Better Models with JMP Pro

of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced;

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Predictive Analytics, Data Mining and Big Data

Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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Text Analytics for Business Decisions

later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for;

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Big Data, Data Mining, And Machine Learning

Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent;

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