Pattern Discovery In Biomolecular Data

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Pattern Discovery in Biomolecular Data

Author : Jason T. L. Wang
Publisher : Oxford University Press
ISBN 13 : 9780198028062
Total Pages : 280 pages
Book Rating : 4.0/5 (28 download)

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Book Synopsis Pattern Discovery in Biomolecular Data by : Jason T. L. Wang

Download or read book Pattern Discovery in Biomolecular Data written by Jason T. L. Wang and published by Oxford University Press. This book was released on 1999-10-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

Data Mining Patterns: New Methods and Applications

Author : Poncelet, Pascal
Publisher : IGI Global
ISBN 13 : 1599041642
Total Pages : 324 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Mining Patterns: New Methods and Applications by : Poncelet, Pascal

Download or read book Data Mining Patterns: New Methods and Applications written by Poncelet, Pascal and published by IGI Global. This book was released on 2007-08-31 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.

Pattern Discovery in Biomolecular Data

Author : Jason T. L. Wang
Publisher : Oxford University Press
ISBN 13 : 0198028067
Total Pages : 272 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Pattern Discovery in Biomolecular Data by : Jason T. L. Wang

Download or read book Pattern Discovery in Biomolecular Data written by Jason T. L. Wang and published by Oxford University Press. This book was released on 1999-10-28 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

Computational Intelligence and Pattern Analysis in Biology Informatics

Author : Ujjwal Maulik
Publisher : John Wiley & Sons
ISBN 13 : 1118097807
Total Pages : 552 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Computational Intelligence and Pattern Analysis in Biology Informatics by : Ujjwal Maulik

Download or read book Computational Intelligence and Pattern Analysis in Biology Informatics written by Ujjwal Maulik and published by John Wiley & Sons. This book was released on 2011-03-21 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.

Frequent Pattern Mining

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319078216
Total Pages : 480 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Frequent Pattern Mining by : Charu C. Aggarwal

Download or read book Frequent Pattern Mining written by Charu C. Aggarwal and published by Springer. This book was released on 2014-08-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.

Combinatorial Pattern Matching

Author : Raffaele Giancarlo
Publisher : Springer
ISBN 13 : 3540451234
Total Pages : 434 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Combinatorial Pattern Matching by : Raffaele Giancarlo

Download or read book Combinatorial Pattern Matching written by Raffaele Giancarlo and published by Springer. This book was released on 2003-06-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching, CPM 2000, held in Montreal, Canada, in June 2000.The 29 revised full papers presented together with 3 invited contributions and 2 tutorial lectures were carefully reviewed and selected from 44 submissions. The papers are devoted to current theoretical and algorithmic issues of searching and matching strings and more complicated patterns such as trees, regular expression graphs, point sets and arrays as well as to advanced applications of CPM in areas such as Internet, computational biology, multimedia systems, information retrieval, data compression, and pattern recognition.

Data Driven Decision Making using Analytics

Author : Parul Gandhi
Publisher : CRC Press
ISBN 13 : 1000506495
Total Pages : 135 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi

Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-21 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Combinatorial Pattern Matching

Author : Ricardo Baeza-Yates
Publisher : Springer Science & Business Media
ISBN 13 : 3540403116
Total Pages : 412 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Combinatorial Pattern Matching by : Ricardo Baeza-Yates

Download or read book Combinatorial Pattern Matching written by Ricardo Baeza-Yates and published by Springer Science & Business Media. This book was released on 2003-06-04 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 14th Annual Symposium on Combinatorial Pattern Matching, CPM 2003, held in Morelia, Michoacán, Mexico in June 2003. The 28 revised full papers presented were carefully reviewed and selected from 57 submissions. The papers are devoted to current theoretical and computational aspects of searching and matching strings and more complicated patterns, such as trees, regular expressions, graphs, point sets, and arrays. Among the application fields addressed are computational biology, bioinformatics, genomics, the Web, data compression, coding, multimedia, information retrieval, pattern recognition, and computer vision.

General Theory of Information Transfer and Combinatorics

Author : Rudolf Ahlswede
Publisher : Springer
ISBN 13 : 3540462457
Total Pages : 1138 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis General Theory of Information Transfer and Combinatorics by : Rudolf Ahlswede

Download or read book General Theory of Information Transfer and Combinatorics written by Rudolf Ahlswede and published by Springer. This book was released on 2006-12-08 with total page 1138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects 63 revised, full-papers contributed to a research project on the "General Theory of Information Transfer and Combinatorics" that was hosted from 2001-2004 at the Center for Interdisciplinary Research (ZIF) of Bielefeld University and several incorporated meetings. Topics covered include probabilistic models, cryptology, pseudo random sequences, quantum models, pattern discovery, language evolution, and network coding.

Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

Author : Stephen J. Guastello
Publisher : CRC Press
ISBN 13 : 1439820023
Total Pages : 616 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data by : Stephen J. Guastello

Download or read book Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data written by Stephen J. Guastello and published by CRC Press. This book was released on 2016-04-19 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflect

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Author : Hujun Yin
Publisher : Springer
ISBN 13 : 3642326390
Total Pages : 882 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2012 written by Hujun Yin and published by Springer. This book was released on 2012-08-01 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Data Mining in Bioinformatics

Author : Jason T. L. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 9781852336714
Total Pages : 356 pages
Book Rating : 4.3/5 (367 download)

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Book Synopsis Data Mining in Bioinformatics by : Jason T. L. Wang

Download or read book Data Mining in Bioinformatics written by Jason T. L. Wang and published by Springer Science & Business Media. This book was released on 2005 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Computing and Combinatorics

Author : Guohui Lin
Publisher : Springer Science & Business Media
ISBN 13 : 3540735445
Total Pages : 580 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computing and Combinatorics by : Guohui Lin

Download or read book Computing and Combinatorics written by Guohui Lin and published by Springer Science & Business Media. This book was released on 2007-06-29 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 13th Annual International Computing and Combinatorics Conference, COCOON 2007, held in Banff, Canada in July 2007. The 51 revised full papers presented together with abstracts of 3 invited talks were carefully reviewed and selected from 154 submissions. The papers feature original research works in the areas of algorithms, theory of computation, computational complexity, and combinatorics related to computing.

Algorithms in Bioinformatics

Author : Inge Jonassen
Publisher : Springer Science & Business Media
ISBN 13 : 3540230181
Total Pages : 485 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Algorithms in Bioinformatics by : Inge Jonassen

Download or read book Algorithms in Bioinformatics written by Inge Jonassen and published by Springer Science & Business Media. This book was released on 2004-09-07 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Algorithms in Bioinformatics, WABI 2004, held in Bergen, Norway, in September 2004. The 39 revised full papers presented were carefully reviewed and selected from 117 submissions. Among the topics addressed are all current issues of algorithms in bioinformatics, such as exact and approximate algorithms for genomics, genetics, sequence analysis, gene and signal recognition, alignment, molecular evolution, phylogenetics, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design.

Database Tuning

Author : Dennis Shasha
Publisher : Elsevier
ISBN 13 : 0080503780
Total Pages : 441 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Database Tuning by : Dennis Shasha

Download or read book Database Tuning written by Dennis Shasha and published by Elsevier. This book was released on 2002-06-07 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tuning your database for optimal performance means more than following a few short steps in a vendor-specific guide. For maximum improvement, you need a broad and deep knowledge of basic tuning principles, the ability to gather data in a systematic way, and the skill to make your system run faster. This is an art as well as a science, and Database Tuning: Principles, Experiments, and Troubleshooting Techniques will help you develop portable skills that will allow you to tune a wide variety of database systems on a multitude of hardware and operating systems. Further, these skills, combined with the scripts provided for validating results, are exactly what you need to evaluate competing database products and to choose the right one. - Forward by Jim Gray, with invited chapters by Joe Celko and Alberto Lerner - Includes industrial contributions by Bill McKenna (RedBrick/Informix), Hany Saleeb (Oracle), Tim Shetler (TimesTen), Judy Smith (Deutsche Bank), and Ron Yorita (IBM) - Covers the entire system environment: hardware, operating system, transactions, indexes, queries, table design, and application analysis - Contains experiments (scripts available on the author's site) to help you verify a system's effectiveness in your own environment - Presents special topics, including data warehousing, Web support, main memory databases, specialized databases, and financial time series - Describes performance-monitoring techniques that will help you recognize and troubleshoot problems

Handbook of Massive Data Sets

Author : James Abello
Publisher : Springer
ISBN 13 : 1461500052
Total Pages : 1209 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Handbook of Massive Data Sets by : James Abello

Download or read book Handbook of Massive Data Sets written by James Abello and published by Springer. This book was released on 2013-12-21 with total page 1209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.

Computational Intelligence Methods for Bioinformatics and Biostatistics

Author : Riccardo Rizzo
Publisher : Springer Science & Business Media
ISBN 13 : 3642219454
Total Pages : 299 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Intelligence Methods for Bioinformatics and Biostatistics by : Riccardo Rizzo

Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Riccardo Rizzo and published by Springer Science & Business Media. This book was released on 2011-07-18 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010. The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).