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Decomposition Methodology For Knowledge Discovery And Data Mining

problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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Clustering Methodology for Symbolic Data

in order to extract knowledge from such a data. Classification Methodology for Symbolic Data: * Provides new classification methodologies for;

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Metalearning

learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good;

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;

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Visual Data Mining

visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has;

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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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A Practical Guide to Data Mining for Business and Industry

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI;

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Data Mining In Time Series Databases

mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods;

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Data Mining

mining. This book thus proposes an integration of techniques from data mining, a field of research where the aim is to find knowledge from data;

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Data Mining Methods and Applications

Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Mobility Data Management and Exploration

This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a;

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Advances in Knowledge Discovery and Data Mining

research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning;

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Advances in Knowledge Discovery and Data Mining

research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning;

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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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Pharmaceutical Data Mining

industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response;

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Data Mining

. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater;

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Data Mining on Multimedia Data

Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from;

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Data Mining and Big Data

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016;

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Data Mining & Management

Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three;

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Geographic Data Mining and Knowledge Discovery

first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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