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Data Mining Algorithms, its Functions and Structure

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Data Mining Algorithms

evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst;

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The Top Ten Algorithms in Data Mining

Identifying some of the most influential algorithms that are widely used in the data mining community, this work provides a description;

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Data Mining Concept Animation Library

, I start to create a collection of graphical and interactive implementation of data mining algorithms, called Data Mining Concept Animation;

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Web Data Mining

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;

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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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Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business;

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Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business;

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Reverse Engineering

and behaviour of natural or manmade objects. Enhanced data mining and processing algorithms, and a development of data sources has opened;

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Introduction to Data Mining

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major;

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Semi-Supervised and Unsupervised Machine Learning

This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised;

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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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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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AdaBoost Extensions for Cost-Sensitive Classification

This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost;

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Data Mining

Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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Data Mining and Knowledge Discovery With Evolutionary Algorithms

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become;

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Introduction to Algorithms for Data Mining and Machine Learning

for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and;

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Introduction to Data Mining, Global Edition

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept;

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Robust Data Mining

data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust;

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Lecture Notes In Data Mining

The continual explosion of information technology and the need for better data collection and management methods has made data mining an;

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining;

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Randomized Algorithms in Automatic Control and Data Mining

In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have;

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