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Event Mining for Explanatory Modeling

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used;

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Event Mining for Explanatory Modeling

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used;

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Process Mining and Network Protocols

mining is based on event data, logged by almost every information system. This event data is extracted, transformed and loaded into the process;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts;

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Model and Data Engineering

reuse; event-B and modeling languages; context modeling and model transformation; data mining; query processing; modeling activities and;

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Event Mining

Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The;

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Business Process Modeling, Simulation and Design

simulation, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on;

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Business Process Modeling, Simulation and Design

, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on the intricacies;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Geochemical Modeling

Mining Influenced Water series about technologies for management of metal mine and metallurgical process drainage. This handbook describes;

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Discrete-Event Modeling and Simulation

-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models;

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Models, Mathematics, and Methodology in Economic Explanation

This book provides a practitioner's foundation for the process of explanatory model building, breaking down that process into five stages;

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Joint Models of Longitudinal a

models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on;

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Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;

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Techniques Of Event History Modeling

: *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social;

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Techniques of Event History Modeling

: *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the 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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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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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Conceptual Modeling for Discrete-Event Simulation

Modeling for Discrete-Event Simulation presents a comprehensive view of the current state of the art in the field. The book addresses a host;

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Foundations of Intelligent Systems

opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science;

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Enterprise, Business-Process and Information Systems Modeling

This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise;

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Process Mining

More and more information about business processes is recorded by information systems in the form of so-called event logs . Despite the;

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Computational Bioengineering and Bioinformatics

focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis;

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Computational Bioengineering and Bioinformatics

focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis;

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Health Care Systems Engineering

in Montreal, Canada, from May 30 to June 1, 2019. The event took place in the mother and child university hospital CHU Sainte-Justine in Montreal, and;

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