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Integration Challenges for Analytics, Business Intelligence, and Data Mining

determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic;

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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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Data Analytics

, data collection, big data analytics for business and business intelligence concepts.;

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Business Intelligence and Analytics

Data is raw facts and figures and information is meaningful data that would be helpful for a person or company. Business intelligence;

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Utilizing Big Data Paradigms for Business Intelligence

data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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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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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Computational Intelligence in Communications and Business Analytics

); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.;

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Rapidminer

RapidMiner and RapidAnalytics. The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar;

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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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Analytical Puzzle

suitable for data mining and analytics. The Analytical Puzzle describes an unbiased, practical, and comprehensive approach to building a data;

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Data Analytics

mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you;

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Managerial Perspectives on Intelligent Big Data Analytics

learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT;

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Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data;

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Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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Business Analytics, Volume II

, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence;

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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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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Data Science and Data Analytics

a comparative analysis/taxonomy. FEATURES Gives the concept of data science, tools, and algorithms that exist for many;

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Win With Advanced Business Analytics

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;

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Predictive Analytics and Data Mining

and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its;

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Privacy and Security Issues in Big Data

for data mining and analytics applications with large aggregate data in business.;

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