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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Data Mining

be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Intelligent Learning Systems

recommendation, intelligent interaction support for e-learning, data mining for instructional design, learning and assessment, students' access patterns;

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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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Machine Learning and Data Mining in Pattern Recognition

, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video;

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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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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Big Data Analytics Paradigms

many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;

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

learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching;

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Data Mining

learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining;

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Machine Learning for Data Mining

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning;

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Machine Learning and Knowledge Discovery in Databases

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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Logical and Relational Learning

-contained and easily accessible for graduate students and practitioners of data mining and machine learning.;

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Logical and Relational Learning

-contained and easily accessible for graduate students and practitioners of data mining and machine learning.;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Data Mining and Constraint Programming

model; learning to solve; constraint programming for data mining; and showcases.;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Introduction to Data Mining

, database systems and machine learning. Data mining aims to transform the information derived from a data set into a comprehensible structure for;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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Machine Learning and Data Mining in Aerospace Technology

This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;

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Mining the Web

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the;

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