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Computational Medicine in Data Mining and Modeling

further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets;

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Sentiment Analysis in the Bio Medical Domain

machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon;

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Domain Driven Data Mining

outputs. This monograph, Domain Driven Data Mining, is motivated by the real-world challenges to and complexities of the current KDD methodologies;

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Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes

healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the;

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Medical Data Privacy Handbook

facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging;

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Healthcare Data Analytics

healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book;

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Mining Data for Financial Applications

This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held;

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Data Mining in the Medical Domain

This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the;

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Managing Data Mining Technologies in Organizations

Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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Managing and Mining Graph Data

comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed;

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Managing and Mining Graph Data

comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed;

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Association Rule Hiding for Data Mining

been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique;

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Data Mining: Foundations and Intelligent Paradigms

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING;

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Introduction to Data Mining for the Life Sciences

. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as;

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Proactive Data Mining with Decision Trees

This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only;

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Biological Data Mining

growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research;

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Biological Data Mining

growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research;

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Incomplete Data Handling in Medical Informatics

The recent advancement in databases, data mining and data warehousing have promoted edge over technologies to acquire, represent, process;

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Health Information Science

, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data;

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Health Information Science

, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data;

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Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Data Mining

, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce;

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