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Innovations in Big Data Mining and Embedded Knowledge

concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social;

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ICT Innovations 2019. Big Data Processing and Mining

, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence;

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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 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 Second International Conference on Data Mining and Big Data, DMBD 2017, held;

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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 Analytics

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

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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, 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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AI 2016: Advances in Artificial Intelligence

and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data;

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2015 Workshops

from 57 submissions. The workshops affiliated with PAKDD 2015 include: Pattern Mining and Application of Big Data (BigPMA), Quality Issues;

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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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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Discovering Knowledge In Data

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever;

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Knowledge Management in Organizations

together researchers and developers from industry and academia to discuss how knowledge management using big data can improve innovation and;

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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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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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Advances in Databases and Information Systems

from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data;

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Foundations of Intelligent Systems

. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular;

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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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Web and Big Data

demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data;

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Web and Big Data

demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data;

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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 Innovations and Applications

This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate;

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Hybrid Artificial Intelligent Systems

. They are organized in the following topical sections: data mining, knowledge discovery and big data; bioinspired models and evolutionary;

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