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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Big Data Mining and Complexity

This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the;

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Data Mining and Big Data

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Data Mining and Big Data

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016;

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Big Data Analytics and Knowledge Discovery

. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data;

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Data Mining and Big Data

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang;

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Big Data Analytics and Knowledge Discovery

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;

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Big Data Analytics

big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.;

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Trends and Applications in Knowledge Discovery and Data Mining

and Healthcare, DMBIH; and Pattern Mining and Application of Big Data, BigPMA.;

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Big Data, Data Mining, And Machine Learning

process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;

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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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Advances in Big Data Analytics

Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;

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Big Data - BigData 2019

of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society.;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Big Data Concepts, Theories, and Applications

mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018;

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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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Data Stream Mining & Processing

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held;

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Big Data Analytics

sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;

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Reality Mining

shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the;

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Big Data Analytics and Knowledge Discovery

papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data;

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Big Data Analytics (Database Management Systems)

and visualization of data. This book presents in-depth description of various dimensions of big data analysis like complexity and variability;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019;

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