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Data Mining and Decision Support

warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic;

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Domain Driven Data Mining

Data mining has emerged as one of the most active areas in information and c- munication technologies(ICT). With the boomingof the global;

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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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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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Educational Improvement Through Data Mining & Analytics

how data mining and analytics work and how they can be applied within online learning systems to support education-related decision making.;

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Information and Knowledge Engineering

Management + Knowledge Acquisition Databases, Information Retrieval and Search Decision Support Systems Mining of Data Rich Sources Data and;

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Data Mining

, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II;

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Data Mining

, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II;

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Clinical Decision Support

This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete;

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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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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 Mining with Decision Trees

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science;

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Perception-based Data Mining and Decision Making in Economics and Finance

Zadeh, can serve as a basis for such extension of traditional data mining and decision making systems. Fuzzy logic as a main constituent of CWP;

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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

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, 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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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how;

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Computational Bioengineering and Bioinformatics

-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and;

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Computational Bioengineering and Bioinformatics

-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and;

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Recent Challenges in Intelligent Information and Database Systems

; computational imaging and vision; decision support and control systems; data modelling and processing for Industry 4.0.;

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Data Mining Techniques 3rd

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining;

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Information Technology in Bio- and Medical Informatics

short papers were carefully selected and address the following topics: decision support and data management in biomedicine; medical data mining;

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Database Systems for Advanced Applications

scalability, memory-based query processing, semantic and decision support systems, social data, data mining.;

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Managing Data Mining Technologies in Organizations

Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and;

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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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Better Decision Tree from Intelligent Instance Selection

This book describes theoretical and experimental studies of instance selection to improve data mining model. Data preparation is one of the;

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