Mourad Elloumi – författare & böcker

Del 16 - Wiley Series in Bioinformatics

Algorithms in Computational Molecular Biology

Techniques, Approaches and Applications

Inbunden, Engelska, 2011

2 166 kr

Skickas inom 11-20 vardagar

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Algorithms in Computational Molecular Biology

Techniques, Approaches and Applications

AvAlbert Y. Zomaya,Mourad Elloumi

E-bok

PDF, Engelska, 2010

2 381 kr

Läs direkt efter köp

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Algorithms in Computational Molecular Biology

Techniques, Approaches and Applications

AvAlbert Y. Zomaya,Mourad Elloumi

E-bok

Engelska, 2011

2 499 kr

Läs direkt efter köp

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Del 23 - Wiley Series in Bioinformatics

Biological Knowledge Discovery Handbook

Preprocessing, Mining and Postprocessing of Biological Data

AvMourad Elloumi,Albert Y. Zomaya

Inbunden, Engelska, 2014

2 185 kr

Skickas inom 5-8 vardagar

The first comprehensive overview of preprocessing, mining, and postprocessing of biological dataMolecular biology is undergoing exponential growth in both the volume and complexity of biological dataand 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 processingalso known as data miningand data postprocessing) and analyzes both verification systems and discovery systems.BIOLOGICAL DATA PREPROCESSING Part A: Biological Data ManagementPart B: Biological Data ModelingPart C: Biological Feature ExtractionPart D Biological Feature SelectionBIOLOGICAL DATA MINING Part E: Regression Analysis of Biological DataPart F Biological Data ClusteringPart G: Biological Data ClassificationPart H: Association Rules Learning from Biological DataPart I: Text Mining and Application to Biological DataPart J: High-Performance Computing for Biological Data MiningCombining 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.

Biological Knowledge Discovery Handbook

Preprocessing, Mining and Postprocessing of Biological Data

AvAlbert Y. Zomaya,Mourad Elloumi

E-bok

PDF, Engelska, 2013

2 442 kr

Läs direkt efter köp

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 dataand 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 processingalso known as data miningand 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.

Biological Knowledge Discovery Handbook

Preprocessing, Mining and Postprocessing of Biological Data

AvAlbert Y. Zomaya,Mourad Elloumi

E-bok

Engelska, 2015

2 531 kr

Läs direkt efter köp

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 dataand 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 processingalso known as data miningand 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.

Pattern Recognition in Computational Molecular Biology

Techniques and Approaches

AvMourad Elloumi,Costas Iliopoulosm. fl.

Inbunden, Engelska, 2016

1 641 kr

Skickas inom 5-8 vardagar

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular BiologyThis book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular dataDiscusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networksIncludes case studies and examples to further illustrate the concepts discussed in the bookPattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Pattern Recognition in Computational Molecular Biology

Techniques and Approaches

AvAlbert Y. Zomaya,Jason T. L. Wangm. fl.

E-bok

PDF, Engelska, 2015

1 862 kr

Läs direkt efter köp

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology

This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks.

Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Pattern Recognition in Computational Molecular Biology

Techniques and Approaches

AvAlbert Y. Zomaya,Jason T. L. Wangm. fl.

E-bok

Engelska, 2015

1 898 kr

Läs direkt efter köp

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology

This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks.

Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer - Database and Expert Systems Applications, Häftad

Del 1062 - Communications in Computer and Information Science

Database and Expert Systems Applications

DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings

AvGabriele Anderst-Kotsis,A Min Tjoam. fl.

Häftad, Engelska, 2019

565 kr

Skickas inom 10-15 vardagar

This volume constitutes the refereed proceedings of the four workshops held at the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019: The 10th International Workshop on Biological Knowledge Discovery from Data, BIOKDD 2019, the 3rd International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2019, the 1st International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs2019, and the 16th International Workshop on Technologies for Information Retrieval, TIR 2019.The 26 selected papers discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligent.

Michael Granitzer, Benno Stein, Christin Seifert, Bernhard Moser, Jorge Martinez-Gil, Anna Fensel, Xabier Larrucea, Johannes Sametinger, Atif Mashkoor, Mourad Elloumi, Ismail Khalil, A Min Tjoa, Gabriele Anderst-Kotsis - Database and Expert Systems Applications, E-bok

Database and Expert Systems Applications

DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings

AvMichael Granitzer,Benno Steinm. fl.

E-bok

Engelska, 2019

708 kr

Läs direkt efter köp

This volume constitutes the refereed proceedings of the four workshops held at the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019: The 10th International Workshop on Biological Knowledge Discovery from Data, BIOKDD 2019, the 3rd International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2019, the 1st International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs2019, and the 16th International Workshop on Technologies for Information Retrieval, TIR 2019.

The 26 selected papers discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligent.

Deep Learning for Biomedical Data Analysis

Techniques, Approaches, and Applications

AvMourad Elloumi

Inbunden, Engelska, 2021

1 681 kr

Skickas inom 10-15 vardagar

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Deep Learning for Biomedical Data Analysis

Techniques, Approaches, and Applications

AvMourad Elloumi

E-bok

Engelska, 2021

2 110 kr

Läs direkt efter köp

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader''s head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Deep Learning for Biomedical Data Analysis

Techniques, Approaches, and Applications

AvMourad Elloumi

Häftad, Engelska, 2022

1 681 kr

Skickas inom 10-15 vardagar

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Algorithms for Next-Generation Sequencing Data

Techniques, Approaches, and Applications

AvMourad Elloumi

Inbunden, Engelska, 2017

1 524 kr

Skickas inom 10-15 vardagar

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

Algorithms for Next-Generation Sequencing Data

Techniques, Approaches, and Applications

AvMourad Elloumi

E-bok

Engelska, 2017

1 416 kr

Läs direkt efter köp

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly.

The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

Algorithms for Next-Generation Sequencing Data

Techniques, Approaches, and Applications

AvMourad Elloumi

Häftad, Engelska, 2018

1 091 kr

Skickas inom 10-15 vardagar

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.

Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland Wagner - Database and Expert Systems Applications, Häftad

Del 903 - Communications in Computer and Information Science

Database and Expert Systems Applications

DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings

AvMourad Elloumi,Michael Granitzerm. fl.

Häftad, Engelska, 2018

565 kr

Skickas inom 10-15 vardagar

This volume constitutes the refereed proceedings of the three workshops held at the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018: the Third International Workshop on Big Data Management in Cloud Systems, BDMICS 2018, the 9th International Workshop on Biological Knowledge Discovery from Data, BIOKDD, and the 15th International Workshop on Technologies for Information Retrieval, TIR.The 25 revised full papers were carefully reviewed and selected from 33 submissions. The papers discuss a range of topics including: parallel data management systems, consistency and privacy cloud computing and graph queries, web and domain corpora, NLP applications, social media and personalization

Roland Wagner, A Min Tjoa, Benno Stein, Christin Seifert, Abdelkader Hameurlain, Michael Granitzer, Mourad Elloumi - Database and Expert Systems Applications, E-bok

Database and Expert Systems Applications

DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings

AvRoland Wagner,A Min Tjoam. fl.

E-bok

Engelska, 2018

712 kr

Läs direkt efter köp

This volume constitutes the refereed proceedings of the three workshops held at the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018: the Third International Workshop on Big Data Management in Cloud Systems, BDMICS 2018, the 9th International Workshop on Biological Knowledge Discovery from Data, BIOKDD, and the 15th International Workshop on Technologies for Information Retrieval, TIR.The 25 revised full papers were carefully reviewed and selected from 33 submissions. The papers discuss a range of topics including: parallel data management systems, consistency and privacy cloud computing and graph queries, web and domain corpora, NLP applications, social media and personalization

Bioinformatics Research and Development

Second International Conference, BIRD 2008, Vienna, Austria, July 7-9, 2008 Proceedings

AvCristian Toma,Kristan Schneiderm. fl.

E-bok

PDF, Engelska, 2008

1 171 kr

Läs direkt efter köp

This volume contains the papers which were selected for presentation at the second Bio- formatics Research and Development (BIRD) conference held in Vienna, Austria during July 7–9, 2008. BIRD covers a wide range of topics related to bioinformatics. This year sequence analysis and alignment, pathways, networks, systems biology, protein and RNA structure and function, gene expression/regulation and microarrays, databases and data integration, machine learning and data analysis were the subjects of main interest. The decisions of the Program Committee are based on the recommendations of at least three, up to five, reviews for each paper. As a result, 30 of the 61 submitted c- tributions could be accepted for the conference. We were happy to have three invited talks presented by experienced researchers providing visitors with a good overview but also some very important insights into the fascinating domain of bioinformatics. Abstracts and more information on these talks are provided in the conference program as well as at the conference site. In the second part of this volume the selected contributions of the two workshops which were held in parallel to the main conference are presented: Workshop on - namical Aspects of Perturbation, Intervention and Transition in Biological Systems – PETRIN 2008 and Workshop on Algorithms in Molecular Biology – ALBIO 2008 Poster presentations of the BIRD conference are in the companion proceedings published by the Trauner Verlag, Linz.

Företag, bibliotek eller offentlig verksamhet?

Mourad Elloumi – författare

Algorithms in Computational Molecular Biology

Algorithms in Computational Molecular Biology

Algorithms in Computational Molecular Biology

Biological Knowledge Discovery Handbook

Biological Knowledge Discovery Handbook

Biological Knowledge Discovery Handbook

Pattern Recognition in Computational Molecular Biology

Pattern Recognition in Computational Molecular Biology

Pattern Recognition in Computational Molecular Biology

Database and Expert Systems Applications

Database and Expert Systems Applications

Deep Learning for Biomedical Data Analysis

Deep Learning for Biomedical Data Analysis

Deep Learning for Biomedical Data Analysis

Algorithms for Next-Generation Sequencing Data

Algorithms for Next-Generation Sequencing Data

Algorithms for Next-Generation Sequencing Data

Database and Expert Systems Applications

Database and Expert Systems Applications

Bioinformatics Research and Development

Mina sidor

Mina sidor

Hjälp

Hjälp

Om Bokus

Om Bokus

Populärt

Populärt

Inspiration

Inspiration