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Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Artificial Intelligence and Soft Computing

selected from 274 submissions. The papers included in the second volume are organized in the following five parts: data mining; artificial;

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Artificial Intelligence in Medicine

organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and;

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Recent Advances in Artificial Intelligence and Data Engineering

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various;

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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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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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Artificial Intelligence Science and Technology

, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which;

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Foundations of Computational Intelligence 06

methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application;

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AI 2006: Advances in Artificial Intelligence

, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;

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Artificial Intelligence

conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decisionmaking, natural language;

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Artificial Intelligence and Soft Computing

topical sections: evolutionary algorithms and their applications; data mining; bioinformatics and medical applications; agent systems, robotics;

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Social Computing with Artificial Intelligence

This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data;

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Social Computing with Artificial Intelligence

This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data;

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Information Management and Big Data

issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.;

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AI 2016: Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held;

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Advances in Artificial Intelligence

games; AI applications; NLP, text and social media mining; data mining and machine learning.;

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Pattern Recognition and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Hybrid Artificial Intelligent Systems

fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management;

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Hybrid Artificial Intelligent Systems

; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications.;

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Multi-disciplinary Trends in Artificial Intelligence

from 82 submissions. They are organized in the following topical sections: knowledge representation and reasoning; data mining and machine;

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Modeling Decisions for Artificial Intelligence

sections: aggregation operators and decision making; data science and data mining; and data privacy and security.;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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Advanced Data Mining

This book consists of advanced information regarding data mining and their applications. It offers to aid data miners, researchers;

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Innovative Trends in Computational Intelligence

in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and;

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Information Management and Big Data

. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning;

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Networks, Data Mining and Artificial Intelligence: Trends and Future Directions

Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging;

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