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Agents and Data Mining Interaction

This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining;

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Knowledge Mining Using Intelligent Agents

techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge;

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Next Generation of Data Mining

is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand;

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Next Generation of Data Mining

is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand;

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Autonomous Intelligent Systems: Agents and Data Mining

This volume contains the papers presented at the International Workshop Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM;

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Investigative Data Mining for Security and Criminal Detection

Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used;

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New Frontiers in Applied Data Mining

chemistry. 3. Interactive Data Mining (IDM), which emphasized the relationship between techniques in data mining and humancomputer interaction;

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

unraveling these problems: Human-Computer Interaction (HCI) and Knowledge DiscoveryData Mining (KDD), with the goal of supporting human capabilities;

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Hybrid Artificial Intelligent Systems

293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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Practical Graph Mining with R

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach;

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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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Advances in Artificial Intelligence

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

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Advances in Artificial Intelligence

satisfaction, data mining, knowledge representation and reasoning, learning, natural language, and planning.;

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Advances on Data Mining: Applications and Theoretical Aspects

in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and;

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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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Agents and Multi-Agent Systems for Health Care

agents that retrieve medical information from distributed repositories, intelligent and distributed data mining, and multi-agent systems that;

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User-Centered Data Management

database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g;

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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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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Internet-based Intelligent Information Processing Systems

in this context. Intelligent systems can be applied to searching the Internet and data-mining, interpreting Internet-derived material, the human;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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