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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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Data Mining with Decision Trees

, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining;

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Adaptive Business Intelligence

? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book;

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Adaptive Business Intelligence

? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book;

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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 Mining With Decision Trees

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this;

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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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Proactive Data Mining with Decision Trees

This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only;

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Data Mining with Microsoft SQL Server 2008

major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more;

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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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Data Mining and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from;

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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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Knowledge Mining Using Intelligent Agents

techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge;

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Advances in Business & Management

mining and business decision-making; third age entrepreneurship and successful ageing; decision usefulness of insurance accounting according to;

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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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Business Intelligence for Business Development

, establishing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, data;

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Data Mining Techniques 3rd

cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: SUPPORT VECTOR MACHINE, LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS and DECISION TREES

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Enterprise Performance Intelligence and Decision Patterns

data-driven enterprises. Details decision patterns and performance decision patterns that pave the road for performance intelligence;

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Enterprise Performance Intelligence and Decision Patterns

step toward enabling data-driven enterprises. Details decision patterns and performance decision patterns that pave the road for;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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Real-Time Business Intelligence & Frequent Pattern Mining Algorithm

makers need up-to-date information to make timely and sound business decisions. A real-time data warehouse aims at decreasing the time it takes;

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