Data Mining In Biomedicine Using Ontologies

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Data Mining in Biomedicine Using Ontologies

Author : Mihail Popescu,Dong Xu
Publisher : Artech House
Page : 279 pages
File Size : 46,7 Mb
Release : 2009
Category : Medical
ISBN : 9781596933712

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Data Mining in Biomedicine Using Ontologies by Mihail Popescu,Dong Xu Pdf

Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.

Medical Informatics

Author : Hsinchun Chen,Sherrilynne S. Fuller,Carol Friedman,William Hersh
Publisher : Springer Science & Business Media
Page : 656 pages
File Size : 44,9 Mb
Release : 2006-07-19
Category : Medical
ISBN : 9780387257396

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Medical Informatics by Hsinchun Chen,Sherrilynne S. Fuller,Carol Friedman,William Hersh Pdf

Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

Data Mining with Ontologies: Implementations, Findings, and Frameworks

Author : Nigro, Hector Oscar,Gonzalez Cisaro, Sandra Elizabeth,Xodo, Daniel Hugo
Publisher : IGI Global
Page : 312 pages
File Size : 48,5 Mb
Release : 2007-07-31
Category : Computers
ISBN : 9781599046204

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Data Mining with Ontologies: Implementations, Findings, and Frameworks by Nigro, Hector Oscar,Gonzalez Cisaro, Sandra Elizabeth,Xodo, Daniel Hugo Pdf

"Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.

Data Mining in Biomedicine

Author : Panos M. Pardalos,Vladimir L. Boginski,Alkis Vazacopoulos
Publisher : Springer Science & Business Media
Page : 577 pages
File Size : 42,9 Mb
Release : 2008-12-10
Category : Medical
ISBN : 9780387693194

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Data Mining in Biomedicine by Panos M. Pardalos,Vladimir L. Boginski,Alkis Vazacopoulos Pdf

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Introduction to Data Mining for the Life Sciences

Author : Rob Sullivan
Publisher : Springer Science & Business Media
Page : 644 pages
File Size : 48,8 Mb
Release : 2012-01-07
Category : Science
ISBN : 9781597452908

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Introduction to Data Mining for the Life Sciences by Rob Sullivan Pdf

Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Author : Andreas Holzinger,Igor Jurisica
Publisher : Springer
Page : 357 pages
File Size : 40,8 Mb
Release : 2014-06-17
Category : Computers
ISBN : 9783662439685

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by Andreas Holzinger,Igor Jurisica Pdf

One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Scalable Uncertainty Management

Author : Salem Benferhat,John Grant
Publisher : Springer
Page : 574 pages
File Size : 43,7 Mb
Release : 2011-10-07
Category : Computers
ISBN : 9783642239632

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Scalable Uncertainty Management by Salem Benferhat,John Grant Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Scalable Uncertainty Management, SUM 2011, held in Dayton, OH, USA, in October 2011. The 32 revised full papers and 3 revised short papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on argumentation systems, probabilistic inference, dynamic of beliefs, information retrieval and databases, ontologies, possibility theory and classification, logic programming, and applications.

Data Integration in the Life Sciences

Author : Sarah Cohen-Boulakia,Val Tannen
Publisher : Springer
Page : 284 pages
File Size : 46,6 Mb
Release : 2007-06-30
Category : Computers
ISBN : 9783540732556

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Data Integration in the Life Sciences by Sarah Cohen-Boulakia,Val Tannen Pdf

This book constitutes the refereed proceedings of the 4th International Workshop on Data Integration in the Life Sciences, DILS 2007, held in Philadelphia, PA, USA in July 2007. It covers new architectures and experience on using systems, managing and designing scientific workflows, mapping and matching techniques, modeling of life science data, and annotation in data integration.

The Semantic Web: ESWC 2013 Satellite Events

Author : Philipp Cimiano,Miriam Fernández,Vanessa Lopez,Stefan Schlobach,Johanna Völker
Publisher : Springer
Page : 367 pages
File Size : 46,5 Mb
Release : 2013-09-15
Category : Computers
ISBN : 9783642412424

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The Semantic Web: ESWC 2013 Satellite Events by Philipp Cimiano,Miriam Fernández,Vanessa Lopez,Stefan Schlobach,Johanna Völker Pdf

This book constitutes the thoroughly refereed post-proceedings of the satellite events of the10th International Conference on the Semantic Web, ESWC 2013, held in Montpellier, France, in May 2013. The volume contains 44 papers describing the posters and demonstrations, 10 best workshop papers selected from various submissions and four papers of the AI Mashup Challenge. The papers cover various aspects on the Semantic Web.

Cell-based Biosensors

Author : Qingjun Liu,Ping Wang
Publisher : Artech House
Page : 291 pages
File Size : 41,7 Mb
Release : 2009-10
Category : Medical
ISBN : 9781596934405

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Cell-based Biosensors by Qingjun Liu,Ping Wang Pdf

Written by recognized experts the field, this leading-edge resource is the first book to systematically introduce the concept, technology, and development of cell-based biosensors. You find details on the latest cell-based biosensor models and novel micro-structure biosensor techniques. Taking an interdisciplinary approach, this unique volume presents the latest innovative applications of cell-based biosensors in a variety of biomedical fields. The book also explores future trends of cell-based biosensors, including integrated chips, nanotechnology and microfluidics. Over 140 illustrations help clarify key topics throughout the book.

Discovery Science

Author : Tapio Elomaa,Jaakko Hollmén,Heikki Mannila
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 47,5 Mb
Release : 2011-09-23
Category : Computers
ISBN : 9783642244766

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Discovery Science by Tapio Elomaa,Jaakko Hollmén,Heikki Mannila Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory. The 24 revised full papers presented together with 5 invited lectures were carefully revised and selected from 56 submissions. The papers cover a wide range including the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery.

Fuzzy Logic in Intelligent System Design

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 47,5 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare

Author : Cannataro, Mario
Publisher : IGI Global
Page : 960 pages
File Size : 48,8 Mb
Release : 2009-05-31
Category : Medical
ISBN : 9781605663753

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Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare by Cannataro, Mario Pdf

"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.

Data Mining in Medical and Biological Research

Author : Eugenia Giannopoulou
Publisher : BoD – Books on Demand
Page : 334 pages
File Size : 49,6 Mb
Release : 2008-11-01
Category : Medical
ISBN : 9789537619305

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Data Mining in Medical and Biological Research by Eugenia Giannopoulou Pdf

This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.

Springer Handbook of Bio-/Neuro-Informatics

Author : Nikola Kasabov
Publisher : Springer Science & Business Media
Page : 1229 pages
File Size : 45,5 Mb
Release : 2013-11-30
Category : Technology & Engineering
ISBN : 9783642305740

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Springer Handbook of Bio-/Neuro-Informatics by Nikola Kasabov Pdf

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.