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Data Mining

emphasis is placed on the use of data mining concepts in real world applications with large database components. KEY TOPICS: Includes unique;

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Data Mining

, scholars, professionals, students, and academicians. Selected topics include: Real-World Data Mining Applications, Challenges, and;

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Real-World Data Mining

tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field;

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Domain Driven Data Mining

outputs. This monograph, Domain Driven Data Mining, is motivated by the real-world challenges to and complexities of the current KDD methodologies;

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Learning Data Mining with Python -

* Create models that solve real-world problems * Design and develop data mining applications using a variety of datasets * Perform object;

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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;

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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 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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Data Mining & Predictive Analytics

solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition: * Offers comprehensive coverage;

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Mastering Data Mining with Python - Find patterns hidden in your data

different types of data * Identify the basics of network mining and how to apply it to real-world data sets * Discover methods for detecting the;

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Uncertainty Modeling for Data Mining

modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype;

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Introduction To Data Mining And Analytics

studies and hands-on activities incorporate real-world data sets and allow students the opportunity to exercise their new skills. Our Cloud;

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Data Mining In Time Series Databases

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data;

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Data Mining Concepts & Techniques

in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object;

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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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Graph Data Mining

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world;

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R Data Mining

, step-by-step approach to explain the concepts of data mining. Practical use-cases involving real-world datasets are used throughout the book to;

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Practical Graph Mining with R

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach;

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Data Mining Methods and Applications

of strategic decision-making Emphasizes the use of data mining concepts in real-world scenarios with large database components Focuses on data;

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Life Science Data Mining

of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio;

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Life Science Data Mining

of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio;

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Complex Pattern Mining

This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data;

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Data Mining, Southeast Asia Edition

>Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data;

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Data Mining

>Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data;

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