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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, 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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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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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 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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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, 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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Big Data Analytics

organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical;

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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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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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Data Analytics

, data collection, big data analytics for business and business intelligence concepts.;

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Data Analytics

mining, data collection, big data analytics for business and business intelligence concepts.With this book, not only will you;

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Healthcare Data Analytics and Management

, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;

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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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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Predictive Analytics, Data Mining and Big Data

Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;

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Big Data Analytics for Sensor-Network Collected Intelligence

find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look;

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Text Mining and Analysis

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to;

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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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Advances on Smart and Soft Computing

, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel;

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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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Fog Data Analytics for IoT Applications

) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Knowledge Graphs and Big Data Processing

interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some;

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Data Science

This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data;

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