Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Haematology E-Book
This textbook on haematology in the Illustrated Colour Text series is suitable for medical students, junior doctors and others needing a concise and practical introduction to the subject. - Concise and manageable coverage of the major blood diseases and their treatment. - Does not overload the reader with science, unlike some competing books. - Focus is on the haematology patient and on the practical aspects of the subject. - Makes use of the attractive features of the ICT series - double page spreads, lots of colour illustrations, summary boxes. - Updating to take account of recenty developments in stem cell biology. - Increased emphasis on genomic and proteomic techniques in the diagnosis of haematological malignancy. - Use of new imaging techniques including MRI and PET. - Description of advances in treatment of leukaemia and lymphoma and in diagnosis and management of patients with thrombophilia and venous thrombosis. - Development of new antimicrobial agents in management of immunosuppressed patients with infection. - New double page spread on palliative care of patients with blood disorders. - New illustrations.
Statistical Implicative Analysis
Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Research and Development in Intelligent Systems XXIX
The papers in this volume are the refereed papers presented at AI-2012, the Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2012 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Data Mining, Data Mining and Machine Learning, Planning and Optimisation, and Knowledge Management and Prediction, followed by application stream sections on Language and Classification, Recommendation, Practical Applications and Systems, and Data Mining and Machine Learning. The volume also includes the text of short papers presented as posters at the conference. This is the twenty-ninth volume in the Research and Development in Intelligent Systems series, which also incorporates the twentieth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.
Handbook of Philosophical Logic
The fourteenth volume of the Second Edition covers central topics in philosophical logic that have been studied for thousands of years, since Aristotle: Inconsistency, Causality, Conditionals, and Quantifiers. These topics are central in many applications of logic in central disciplines and this book is indispensable to any advanced student or researcher using logic in these areas. The chapters are comprehensive and written by major figures in the field.
Rough Sets and Current Trends in Computing
In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learni...
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.
Principles of Data Mining and Knowledge Discovery
This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.
Algorithmic Decision Theory
This book constitutes the conference proceedings of the 7th International Conference on Algorithmic Decision Theory, ADT 2021, held in Toulouse, France, in November 2021. The 27 full papers presented were carefully selected from 58 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.
