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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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Multidimensional Mining of Massive Text Data

such multidimensional knowledge from massive text data remains a challenging task.This book presents data mining techniques that turn;

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Multidimensional Mining of Massive Text Data

such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn;

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Contrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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SQL Server Analysis Services 2012 Cube Development Cookbook

instructions, rather than explaining data mining concepts with SSAS. If you are a BI or ETL developer using SQL Server Analysis services to build OLAP;

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Uncertainty Modeling for Data Mining

, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for;

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Knowledge Acquisition: Approaches, Algorithms and Applications

papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and;

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Data Mining for Bioinformatics Applications

uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45;

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Real-World Data Mining

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real;

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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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Instant SQL Server Analysis Services 2012 Cube Security

started with cube security.This book is aimed at Database Administrators, Data Architects, and Systems Administrators who are managing the SQL;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Advances in Data Mining. Applications and Theoretical Aspects

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de;

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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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Foundations of Intelligent Systems

informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining;

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Data Mining

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building;

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Data Mining

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies;

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Data Mining

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXI

systems over complex energy data to OLAP-based prediction models, from extended query engines for continuous stream analytics to popular pattern;

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Process Mining and Network Protocols

mining is based on event data, logged by almost every information system. This event data is extracted, transformed and loaded into the process;

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2015 Workshops

, Measures of Interestingness and Evaluation of data mining models (QIMIE), Data Analytics for Evidence-based Healthcare (DAEBH), Vietnamese Language;

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization;

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