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Randomized Algorithms in Automatic Control and Data Mining

always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals;

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Positive 1d and 2D Systems

of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems will be of certain interest to control;

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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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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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Randomized Algorithms

the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and;

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Computational Intelligence and Intelligent Systems

; and image colorization; multilingual automatic document classication and translation; knowledge-based articial intelligence; predictive data;

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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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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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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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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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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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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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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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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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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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Automatic Detection Algorithms of Oil Spill in Radar Images

in relation to the quantum theory. Provides recent developments and progresses of automatic detection algorithms of oil spill from radar data;

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Automatic Detection Algorithms of Oil Spill in Radar Images

in radar data in relation to the quantum theory. Provides recent developments and progresses of automatic detection algorithms of oil spill;

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Data Mining and Knowledge Discovery for Geoscientists

wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data.Most;

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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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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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Trends and Applications in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining (PAKDD) held in Tainan, Taiwan, in May 2014. The 73 revised papers presented were carefully reviewed and;

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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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