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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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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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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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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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Machine Learning Theoretical Foundations and Practical Applications

navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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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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Recent Advances in Information and Communication Technology 2015

in Bangkok, Thailand. The book is divided into the two main parts Data Mining and Machine Learning as well as Data Network and Communications;

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5th International Symposium on Data Mining Applications

databases, social networks, web, bioinformatics, finance, healthcare, and security.* Algorithms: Data mining and machine learning foundations;

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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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Data Algorithms

solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining;

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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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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Managing Data Mining Technologies in Organizations

Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and;

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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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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Mobile Data Mining and Applications

of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to;

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

of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and;

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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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Big Data

mining of Big Data in streaming environments Big Data Privacy-focuses on models, techniques, and algorithms for preserving Big Data;

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Big Data

-intensive computational settings Big Data Stream Techniques and Algorithms-explores research issues regarding the management and mining of Big;

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