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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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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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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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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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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence. Web Data Mining and;

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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 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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Foundations of Computational Intelligence 06

techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part;

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Data Analysis and Data Mining Using Microsoft Business Intelligence Tools

Data Analysis and Data Mining using Microsoft Business Intelligence Tools enables analysts, power users, and business decision makers to;

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Business Intelligence

postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations;

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Business Intelligence

postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations;

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Business Intelligence Techniques

mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas;

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Business Intelligence Techniques

efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining;

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Extracting Knowledge From Opinion Mining

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage;

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Data Mining for Business Intelligence

literature. computingreviews.com Incorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence;

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Wissen Managen mit Innovativer Informationstechnologie

Ein grundlegendes Buch zum IT-gestutzten Knowledgemanagement. U.a. zu Wissensdatenbanken und Business Intelligence, Data Mining, Text;

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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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Machine Learning and Data Mining

an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for;

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Data Mining For Dummies

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability;

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Trends and Applications in Knowledge Discovery and Data Mining

Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully;

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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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Business Intelligence for Business Development

overview of Business Intelligence and an in-depth analysis of present applications and forthcoming new ways for this technology. It encompasses a;

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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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Fundamentals of Business Intelligence

for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining;

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Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes

healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the;

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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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