Biological Knowledge Discovery Handbook

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Biological Knowledge Discovery Handbook

Mourad Elloumi,Albert Y. Zomaya
Biological Knowledge Discovery Handbook Book PDF

Author : Mourad Elloumi,Albert Y. Zomaya
Publisher : John Wiley & Sons
Page : 1192 pages
File Size : 42,9 Mb
Release : 2015-02-04
Category : Computers
ISBN : 9781118853726

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Biological Knowledge Discovery Handbook by Mourad Elloumi,Albert Y. Zomaya Pdf

The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems 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 DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1378 pages
File Size : 48,9 Mb
Release : 2006-05-28
Category : Computers
ISBN : 9780387254654

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 41,6 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Magnetic Bubble Technology

A. H. Eschenfelder
Magnetic Bubble Technology Book PDF

Author : A. H. Eschenfelder
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 50,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642965494

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Magnetic Bubble Technology by A. H. Eschenfelder Pdf

Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.

Data Processing Handbook for Complex Biological Data Sources

Gauri Misra
Data Processing Handbook for Complex Biological Data Sources Book PDF

Author : Gauri Misra
Publisher : Academic Press
Page : 188 pages
File Size : 52,6 Mb
Release : 2019-03-23
Category : Medical
ISBN : 9780128172803

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Data Processing Handbook for Complex Biological Data Sources by Gauri Misra Pdf

Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing

Springer Handbook of Bio-/Neuro-Informatics

Nikola Kasabov
Springer Handbook of Bio Neuro Informatics Book PDF

Author : Nikola Kasabov
Publisher : Springer Science & Business Media
Page : 1229 pages
File Size : 41,8 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.

Handbook of Research on Systems Biology Applications in Medicine

Daskalaki, Andriani
Handbook of Research on Systems Biology Applications in Medicine Book PDF

Author : Daskalaki, Andriani
Publisher : IGI Global
Page : 982 pages
File Size : 51,8 Mb
Release : 2008-11-30
Category : Technology & Engineering
ISBN : 9781605660776

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Handbook of Research on Systems Biology Applications in Medicine by Daskalaki, Andriani Pdf

"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer
Page : 0 pages
File Size : 50,6 Mb
Release : 2010-09-10
Category : Computers
ISBN : 0387098232

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Knowledge Discovery in Bioinformatics

Xiaohua Hu,Yi Pan
Knowledge Discovery in Bioinformatics Book PDF

Author : Xiaohua Hu,Yi Pan
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 46,5 Mb
Release : 2007-06-11
Category : Technology & Engineering
ISBN : 0470124636

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Knowledge Discovery in Bioinformatics by Xiaohua Hu,Yi Pan Pdf

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.

Advances in Computational and Bio-Engineering

S. Jyothi,D. M. Mamatha,Suresh Chandra Satapathy,K. Srujan Raju,Margarita N. Favorskaya
Advances in Computational and Bio Engineering Book PDF

Author : S. Jyothi,D. M. Mamatha,Suresh Chandra Satapathy,K. Srujan Raju,Margarita N. Favorskaya
Publisher : Springer Nature
Page : 650 pages
File Size : 44,9 Mb
Release : 2020-07-19
Category : Mathematics
ISBN : 9783030469399

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Advances in Computational and Bio-Engineering by S. Jyothi,D. M. Mamatha,Suresh Chandra Satapathy,K. Srujan Raju,Margarita N. Favorskaya Pdf

This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Vasant, Pandian
Handbook of Research on Artificial Intelligence Techniques and Algorithms Book PDF

Author : Vasant, Pandian
Publisher : IGI Global
Page : 873 pages
File Size : 53,8 Mb
Release : 2014-11-30
Category : Computers
ISBN : 9781466672598

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Handbook of Research on Artificial Intelligence Techniques and Algorithms by Vasant, Pandian Pdf

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Information Retrieval and Management Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2336 pages
File Size : 54,7 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522551928

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Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Computational Biology and Bioinformatics

Ka-Chun Wong
Computational Biology and Bioinformatics Book PDF

Author : Ka-Chun Wong
Publisher : CRC Press
Page : 425 pages
File Size : 44,7 Mb
Release : 2016-04-27
Category : Science
ISBN : 9781498725002

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Computational Biology and Bioinformatics by Ka-Chun Wong Pdf

The advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analytical skills and computational methods which are collectively called computational biology and bioinformatics. Without them, the biotechnology-output data by itself is raw and perhaps meaningless. To raise such awareness, we have collected the state-of-the-art research works in computational biology and bioinformatics with a thematic focus on gene regulation in this book. This book is designed to be self-contained and comprehensive, targeting senior undergraduates and junior graduate students in the related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining, applied machine learning, life science, biomedical science, and genetics. In addition, we believe that this book will serve as a useful reference for both bioinformaticians and computational biologists in the post-genomic era.

Multiple Biological Sequence Alignment

Ken Nguyen,Xuan Guo,Yi Pan
Multiple Biological Sequence Alignment Book PDF

Author : Ken Nguyen,Xuan Guo,Yi Pan
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 45,8 Mb
Release : 2016-06-10
Category : Computers
ISBN : 9781119272458

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Multiple Biological Sequence Alignment by Ken Nguyen,Xuan Guo,Yi Pan Pdf

Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search. This book contains 11 chapters, with Chapter 1 providing basic information on biological sequences. Next, Chapter 2 contains fundamentals in pair-wise sequence alignment, while Chapters 3 and 4 examine popular existing quantitative models and practical clustering techniques that have been used in multiple sequence alignment. Chapter 5 describes, characterizes and relates many multiple sequence alignment models. Chapter 6 describes how traditionally phylogenetic trees have been constructed, and available sequence knowledge bases can be used to improve the accuracy of reconstructing phylogeny trees. Chapter 7 covers the latest methods developed to improve the run-time efficiency of multiple sequence alignment. Next, Chapter 8 covers several popular existing multiple sequence alignment server and services, and Chapter 9 examines several multiple sequence alignment techniques that have been developed to handle short sequences (reads) produced by the Next Generation Sequencing technique (NSG). Chapter 10 describes a Bioinformatics application using multiple sequence alignment of short reads or whole genomes as input. Lastly, Chapter 11 provides a review of RNA and protein secondary structure prediction using the evolution information inferred from multiple sequence alignments. • Covers the full spectrum of the field, from alignment algorithms to scoring methods, practical techniques, and alignment tools and their evaluations • Describes theories and developments of scoring functions and scoring matrices •Examines phylogeny estimation and large-scale homology search Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Applications is a reference for researchers, engineers, graduate and post-graduate students in bioinformatics, and system biology and molecular biologists. Ken Nguyen, PhD, is an associate professor at Clayton State University, GA, USA. He received his PhD, MSc and BSc degrees in computer science all from Georgia State University. His research interests are in databases, parallel and distribute computing and bioinformatics. He was a Molecular Basis of Disease fellow at Georgia State and is the recipient of the highest graduate honor at Georgia State, the William M. Suttles Graduate Fellowship. Xuan Guo, PhD, is a postdoctoral associate at Oak Ridge National Lab, USA. He received his PhD degree in computer science from Georgia State University in 2015. His research interests are in bioinformatics, machine leaning, and cloud computing. He is an editorial assistant of International Journal of Bioinformatics Research and Applications. Yi Pan, PhD, is a Regents' Professor of Computer Science and an Interim Associate Dean and Chair of Biology at Georgia State University. He received his BE and ME in computer engineering from Tsinghua University in China and his PhD in computer science from the University of Pittsburgh. Dr. Pan's research interests include parallel and distributed computing, optical networks, wireless networks and bioinformatics. He has published more than 180 journal papers with about 60 papers published in various IEEE/ACM journals. He is co-editor along with Albert Y. Zomaya of the Wiley Series in Bioinformatics.

Model and Data Engineering

Ladjel Bellatreche,Yannis Manolopoulos
Model and Data Engineering Book PDF

Author : Ladjel Bellatreche,Yannis Manolopoulos
Publisher : Springer
Page : 343 pages
File Size : 48,8 Mb
Release : 2015-09-28
Category : Computers
ISBN : 9783319237817

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Model and Data Engineering by Ladjel Bellatreche,Yannis Manolopoulos Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Model and Data Engineering, MEDI 2015, held in Rhodes, Greece, in September 2015. The 18 full papers and 9 short papers presented together with 2 invited talks were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections such as modeling and meta modeling; ontology-based modeling, reasoning and reuse; event-B and modeling languages; context modeling and model transformation; data mining; query processing; modeling activities and inference; prediction and recommendation; requirement and systems engineering.