This book introduces readers to the field of conformance checking as a whole and outlines the fundamental relation between modelled and recorded behaviour. Conformance checking interrelates the modelled and recorded behaviour of a given process and provides techniques and methods for comparing and analysing observed instances of a process in the presence of a model, independent of the model’s origin. Its goal is to provide an overview of the essential techniques and methods in this field at an intuitive level, together with precise formalisations of its underlying principles. The book is divided into three parts, that are meant to cover different perspectives of the field of conformance checking. Part I presents a comprehensive yet accessible overview of the essential concepts used to interrelate modelled and recorded behaviour. It also serves as a reference for assessing how conformance checking efforts could be applied in specific domains. Next, Part II provides readers with detailed insights into algorithms for conformance checking, including the most commonly used formal notions and their instantiation for specific analysis questions. Lastly, Part III highlights applications that help to make sense of conformance checking results, thereby providing a necessary next step to increase the value of a given process model. They help to interpret the outcomes of conformance checking and incorporate them by means of enhancement and repair techniques. Providing the core building blocks of conformance checking and describing its main applications, this book mainly addresses students specializing in business process management, researchers entering process mining and conformance checking for the first time, and advanced professionals whose work involves process evaluation, modelling and optimization.
This book introduces readers to the field of conformance checking as a whole and outlines the fundamental relation between modelled and recorded behaviour. Conformance checking interrelates the modelled and recorded behaviour of a given process and provides techniques and methods for comparing and analysing observed instances of a process in the presence of a model, independent of the model’s origin. Its goal is to provide an overview of the essential techniques and methods in this field at an intuitive level, together with precise formalisations of its underlying principles. The book is divided into three parts, that are meant to cover different perspectives of the field of conformance checking. Part I presents a comprehensive yet accessible overview of the essential concepts used to interrelate modelled and recorded behaviour. It also serves as a reference for assessing how conformance checking efforts could be applied in specific domains. Next, Part II provides readers with detailed insights into algorithms for conformance checking, including the most commonly used formal notions and their instantiation for specific analysis questions. Lastly, Part III highlights applications that help to make sense of conformance checking results, thereby providing a necessary next step to increase the value of a given process model. They help to interpret the outcomes of conformance checking and incorporate them by means of enhancement and repair techniques. Providing the core building blocks of conformance checking and describing its main applications, this book mainly addresses students specializing in business process management, researchers entering process mining and conformance checking for the first time, and advanced professionals whose work involves process evaluation, modelling and optimization.
Preliminary material /JOSEP PADRÓ I PARCERISA -- INTRODUCTION /JOSEP PADRÓ I PARCERISA -- I. WESTERN LANGUEDOC /JOSEP PADRÓ I PARCERISA -- II. CATALONIA /JOSEP PADRÓ I PARCERISA -- III. VALENCIA /JOSEP PADRÓ I PARCERISA -- IV. MURCIA /JOSEP PADRÓ I PARCERISA -- INDEX /JOSEP PADRÓ I PARCERISA -- LIST OF PLATES /JOSEP PADRÓ I PARCERISA -- Plates XXIX-LXV /JOSEP PADRÓ I PARCERISA.
The ability to create intelligent machines has intrigued humans since ancient times, and today with the advent of the computer and 50 years of research into AI programming techniques, the dream of smart machines is becoming a reality. The concept of human-computer interfaces has been undergoing changes over the years. In carrying out the most important tasks is the lack of formalized application methods, mathematical models and advanced computer support. The evolution of biological systems to adapt to their environment has fascinated and challenged scientists to increase their level of understanding of the functional characteristics of such systems. This book has 19 chapters and explain that the expert systems are products of the artificial intelligence, branch of computer science that seeks to develop intelligent programs for human, materials and automation.
This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable. While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of “institutional rationality” of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments. This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
This handbook aims to capture the basic concepts of translational medicine, understood as a branch of the biomedical field that translates discoveries into the clinical setting. This discipline is currently closing the gap between basic science and clinical research. The book is intended to be straightforward, easy-to-read, intelligible and practical. It describes the basic principles of translational medicine, including major advances in genomics, new technologies, the processing of big data and biobanks. Regarding the biological foundations of translational medicine, we address concepts related to the molecular basis of cancer, inflammation, angiogenesis, stem cells and experimental models. More specifically on translational medicine, we present discoveries and breakthroughs in oncology, neuroscience, metabolic and systemic diseases, and public health. Finally, we have specific sections focused on clinical trials and biomarkers in the genomic era, advances in imaging techniques and entrepreneurship and innovation. Our purpose is to offer a manageable text to guide graduate and post-graduate students, professionals and researchers in biomedicine through the major technologies and advances that have occurred in the translational field. It is also intended to aid residents, fellows and physician-scientists working in hospitals and academic institutions.
Preliminary material -- ANDALUSIA -- SEXI, ALMUÑÉCAR (GRANADA) -- (GRANADA) -- CORTIJO DE LAS SOMBRAS. FRIGILIANA (MALAGA) -- TRAYAMAR. ALGARROBO (MALAGA) -- EL JARDÍN, TORRE DEL MAR (MALAGA) -- MAINAKE (?), CORTIJO DE LOS TOSCANOS. TORRE DEL MAR (MALAGA) -- MÁLAGA -- MALAKA (?), CERRO DEL VILLAR, MÁLAGA -- CALPE, GORHAM'S CAVE. GIBRALTAR -- NOTICE TO THE READER -- INDEX -- LIST OF PLATES.
Preliminary material -- CHRONICLE OF PREVIOUS RESEARCH -- POSSIBLE CONTACTS WITH EGYPT BEFORE THE FIRST MILLENNIUM -- THE EGYPTIAN, PSEUDOEGYPTIAN AND EGYPTIANIZING MATERIAL -- INDEX -- LIST OF PLATES -- Plates I-XXVIII.
Si gestionar una empresa no es un camino de rosas, gobernar una organización familiar suele tener alguna que otra espina de más por la peculiar mezcla de responsabilidades, trabajo y relaciones personales que en ella se producen. En este marco resulta aún más indispensable contar con un buen consejo de administración que sea capaz de decidir, con estrategia y sensatez y no con el corazón y las emociones de los lazos de sangre, el camino a seguir. Los consejos de administración de las empresas familiares han de tener las competencias, los procesos y las estructuras necesarias para responsabilizarse de la marcha de la empresa ante los accionistas, por muy familiares que estos sean. El consejo es siempre el responsable frente a los accionistas del resultado obtenido. Con el fin de guiar y explicar cómo lograr un buen consejo de administración, José María Navarro-Rubio y Josep Tàpies presentan un práctico manual de un órgano indispensable para la supervivencia y el crecimiento de la empresa familiar. Tal y como dichos autores explican, «ningún consejo de administración es totalmente inútil. Y, por lo general, basta con que el principal responsable ejecutivo quiera moverlo –trate los temas relevantes que afectan a la empresa– y con que el presidente quiera que funcione, para que sea bueno».
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