Knowledge Discovery In Life Science Literature PDF Download
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Author | : Christopher J. O. Baker |
Publisher | : Springer Science & Business Media |
Total Pages | : 449 |
Release | : 2007-04-14 |
Genre | : Science |
ISBN | : 0387484388 |
Download Semantic Web Book in PDF, ePub and Kindle
This book introduces advanced semantic web technologies, illustrating their utility and highlighting their implementation in biological, medical, and clinical scenarios. It covers topics ranging from database, ontology, and visualization to semantic web services and workflows. The volume also details the factors impacting on the establishment of the semantic web in life science and the legal challenges that will impact on its proliferation.
Author | : Eric G. Bremer |
Publisher | : Springer Science & Business Media |
Total Pages | : 159 |
Release | : 2006-03-23 |
Genre | : Computers |
ISBN | : 3540328092 |
Download Knowledge Discovery in Life Science Literature Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data.
Author | : Eric G. Bremer |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2006-02-26 |
Genre | : Computers |
ISBN | : 9783540328100 |
Download Knowledge Discovery in Life Science Literature Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data.
Author | : Mourad Elloumi |
Publisher | : John Wiley & Sons |
Total Pages | : 1126 |
Release | : 2015-02-04 |
Genre | : Computers |
ISBN | : 1118853725 |
Download Biological Knowledge Discovery Handbook Book in PDF, ePub and Kindle
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD) providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing also known as data mining and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
Author | : Petr Skoda |
Publisher | : Elsevier |
Total Pages | : 474 |
Release | : 2020-04-10 |
Genre | : Science |
ISBN | : 0128191554 |
Download Knowledge Discovery in Big Data from Astronomy and Earth Observation Book in PDF, ePub and Kindle
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. Addresses both astronomy and geosciences in parallel, from a big data perspective Includes introductory information, key principles, applications and the latest techniques Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
Author | : Ana Fred |
Publisher | : Springer |
Total Pages | : 438 |
Release | : 2013-01-05 |
Genre | : Computers |
ISBN | : 3642297641 |
Download Knowledge Discovery, Knowledge Engineering and Knowledge Management Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2010, held in Valencia, Spain, in October 2010. This book includes revised and extended versions of a strict selection of the best papers presented at the conference; 26 revised full papers together with 2 invited lectures were carefully reviewed and selected from 369 submissions. According to the three covered conferences KDIR 2010, KEOD 2010, and KMIS 2010, the papers are organized in topical sections on knowledge discovery and information retrieval, knowledge engineering and ontology development, and on knowledge management and information sharing.
Author | : Xiaoling Shu |
Publisher | : University of California Press |
Total Pages | : 263 |
Release | : 2020-02-04 |
Genre | : Social Science |
ISBN | : 0520339991 |
Download Knowledge Discovery in the Social Sciences Book in PDF, ePub and Kindle
Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries
Author | : Peter Bruza |
Publisher | : Springer Science & Business Media |
Total Pages | : 200 |
Release | : 2008-08-17 |
Genre | : Computers |
ISBN | : 3540686908 |
Download Literature-based Discovery Book in PDF, ePub and Kindle
This is the first coherent book on literature-based discovery (LBD). LBD is an inherently multi-disciplinary enterprise. The aim of this volume is to plant a flag in the ground and inspire new researchers to the LBD challenge.
Author | : Xiaohua Hu |
Publisher | : John Wiley & Sons |
Total Pages | : 400 |
Release | : 2007-06-11 |
Genre | : Technology & Engineering |
ISBN | : 9780470124635 |
Download Knowledge Discovery in Bioinformatics Book in PDF, ePub and Kindle
The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.
Author | : Andreas Holzinger |
Publisher | : Springer |
Total Pages | : 373 |
Release | : 2014-06-17 |
Genre | : Computers |
ISBN | : 3662439689 |
Download Interactive Knowledge Discovery and Data Mining in Biomedical Informatics Book in PDF, ePub and Kindle
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.