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Educational Improvement Through Data Mining & Analytics

data mining) are starting to be applied in education. The book examines the challenges being encountered and the potential of such efforts for;

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Cube Based Incremental Data Mining

approach very general as it can be applied to all types of data mining models.;

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Data Mining

submissions. The papers are organized in topical sections on classification task; transport, environment, and energy; applied data mining; privacy and;

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Data Mining Techniques In Crm

This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business;

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Linear Algebra Tools For Data Mining

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;

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Process Mining and Network Protocols

(Informatik & Security), language: English, abstract: Process mining is the binding link between computational intelligence, data mining, process;

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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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Advanced Text Mining and Applied Principles

This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web;

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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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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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Querying And Mining Uncertain Data Streams

. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential;

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Introduction to Data Mining

Data mining is a process which deals with the discovery of patterns in large data sets. It applies methods from the fields of statistics;

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Applied Data Mining

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Data Mining for Design and Marketing

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make;

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Principles of Data Mining

. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the;

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Applied Mineral Inventory Estimation

Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with;

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition;

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A Practical Guide to Data Mining for Business and Industry

. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The;

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Machine Learning and Knowledge Discovery in Databases

science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition;

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Machine Learning and Knowledge Discovery in Databases

science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition;

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Machine Learning and Knowledge Discovery in Databases

science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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New Frontiers in Applied Data Mining

workshopsorganized along with the main 2008 Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) in Osaka, Japan was to extend the;

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Computational Medicine in Data Mining and Modeling

of clinical data typically found in patient's medical records, image mining, medical mining, data mining and machine learning applied to generic;

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