EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Pattern Discovery

Download or read book Pattern Discovery written by Douglas Danner and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Pattern Discovery in Bioinformatics

Download or read book Pattern Discovery in Bioinformatics written by Laxmi Parida and published by CRC Press. This book was released on 2007-07-04 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema

Book Biological Pattern Discovery With R  Machine Learning Approaches

Download or read book Biological Pattern Discovery With R Machine Learning Approaches written by Zheng Rong Yang and published by World Scientific. This book was released on 2021-09-17 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

Book The Pattern Future

    Book Details:
  • Author : Mark R. Anderson
  • Publisher : FiReBooks
  • Release : 2017-11-20
  • ISBN : 9780996725446
  • Pages : 240 pages

Download or read book The Pattern Future written by Mark R. Anderson and published by FiReBooks. This book was released on 2017-11-20 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renowned technology and economics forecaster Mark Anderson reveals hidden patterns beneath the art and science of predicting the future. Through a series of personal vignettes, Anderson exposes a complex web of causes, influences, and effects that propel today's world, then describes strategies that he employs to lay bare new trends, to make new discoveries in a wide variety of disciplines, and to accurately foresee future events.

Book Patterns of Discovery

    Book Details:
  • Author : Norwood Russell Hanson
  • Publisher : CUP Archive
  • Release : 1979
  • ISBN :
  • Pages : 260 pages

Download or read book Patterns of Discovery written by Norwood Russell Hanson and published by CUP Archive. This book was released on 1979 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Search Patterns

    Book Details:
  • Author : Peter Morville
  • Publisher : "O'Reilly Media, Inc."
  • Release : 2010-01-14
  • ISBN : 1449383068
  • Pages : 195 pages

Download or read book Search Patterns written by Peter Morville and published by "O'Reilly Media, Inc.". This book was released on 2010-01-14 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: What people are saying about Search Patterns "Search Patterns is a delight to read -- very thoughtful and thought provoking. It's the most comprehensive survey of designing effective search experiences I've seen." --Irene Au, Director of User Experience, Google "I love this book! Thanks to Peter and Jeffery, I now know that search (yes, boring old yucky who cares search) is one of the coolest ways around of looking at the world." --Dan Roam, author, The Back of the Napkin (Portfolio Hardcover) "Search Patterns is a playful guide to the practical concerns of search interface design. It contains a bonanza of screenshots and illustrations that capture the best of today's design practices and presents a fresh perspective on the broader role of search and discovery." --Marti Hearst, Professor, UC Berkeley and author, Search User Interfaces (Cambridge University Press) "It's not often I come across a book that asks profound questions about a fundamental human activity, and then proceeds to answer those questions with practical observations and suggestions. Search Patterns is an expedition into the heart of the web and human cognition, and for me it was a delightful journey that delivered scores of insights." --Dave Gray, Founder and Chairman, XPLANE "Search is swiftly transforming everything we know, yet people don't understand how mavens design search: by stacking breadcrumbs, scenting widgets, and keeping eyeballs on the engine. I urge you to put your eyeballs on this unique and important book." --Bruce Sterling, Writer, Futurist, and Co-Founder, The Electronic Frontier Foundation "As one who searches a lot (and often ends up frustrated), Search Patterns is a revelation." --Nigel Holmes, Designer, Theorist, and Principal, Explanation Graphics "Search Patterns is a fabulous must-have book! Inside, you'll learn the whys and wheres of practically every modern search design trick and technique." --Jared Spool, CEO and Founder, User Interface Engineering Search is among the most disruptive innovations of our time. It influences what we buy and where we go. It shapes how we learn and what we believe. In this provocative and inspiring book, you'll explore design patterns that apply across the categories of web, ecommerce, enterprise, desktop, mobile, social, and real-time search and discovery. Filled with colorful illustrations and examples, Search Patterns brings modern information retrieval to life, covering such diverse topics as relevance, faceted navigation, multi-touch, personalization, visualization, multi-sensory search, and augmented reality. By drawing on their own experience-as well as best practices and evidence-based research-the authors not only offer a practical guide to help you build effective search applications, they also challenge you to imagine the future of discovery. You'll find Search Patterns intriguing and invaluable, whether you're a web practitioner, mobile designer, search entrepreneur, or just interested in the topic. Discover a pattern language for search that embraces user psychology and behavior, information architecture, interaction design, and emerging technology Boost enterprise efficiency and e-commerce sales Enable mobile users to achieve goals, complete tasks, and find what they need Drive design innovation for search interfaces and applications

Book Pattern Recognition Algorithms for Data Mining

Download or read book Pattern Recognition Algorithms for Data Mining written by Sankar K. Pal and published by CRC Press. This book was released on 2004-05-27 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Book Pattern Discovery in Biomolecular Data

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.

Book Pattern Discovery Using Sequence Data Mining

Download or read book Pattern Discovery Using Sequence Data Mining written by Pradeep Kumar and published by . This book was released on 2011-07-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"--

Book Visual Pattern Discovery and Recognition

Download or read book Visual Pattern Discovery and Recognition written by Hongxing Wang and published by Springer. This book was released on 2017-06-14 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.

Book Discriminative Pattern Discovery on Biological Networks

Download or read book Discriminative Pattern Discovery on Biological Networks written by Fabio Fassetti and published by Springer. This book was released on 2017-09-01 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with different characteristics are employed for representing different scenarios. This powerful model allows analysts to perform many kinds of analyses which can be mined to provide interesting information about underlying biological behaviors. The text also covers techniques for discovering exceptional patterns, such as a pattern accounting for local similarities and also collaborative effects involving interactions between multiple actors (for example genes). Among these exceptional patterns, of particular interest are discriminative patterns, namely those which are able to discriminate between two input populations (for example healthy/unhealthy samples). In addition, the work includes a discussion on the most recent proposal on discovering discriminative patterns, in which there is a labeled network for each sample, resulting in a database of networks representing a sample set. This enables the analyst to achieve a much finer analysis than with traditional techniques, which are only able to consider an aggregated network of each population.

Book CONCEPT HIERARCHY BASED PATTERN DISCOVERY IN TIME SERIES DATABASE  A CASE STUDY ON FINANCIAL DATABASE

Download or read book CONCEPT HIERARCHY BASED PATTERN DISCOVERY IN TIME SERIES DATABASE A CASE STUDY ON FINANCIAL DATABASE written by Yan-Ping Huang and published by 黃燕萍工作室. This book was released on 2014-07-25 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining, a recent and contemporary research topic, is the process of automatically searching large volumes of data for patterns in computing. Nowadays, pattern discovery is a field within the area of data mining. In general, large volumes of time series data are contained in financial database and these data have some useful patterns which could not be found easily. Many financial studies in time series data analysis use linear regression model to estimate the variation and trend of the data. However, traditional methods of time series analysis used special types or linear models to describe the data. Linear models can achieve high accuracy when linear variation of the data is small, however, if the variation range exceeds a certain limit, the linear models has a lower performance in estimated accuracy. Among these traditional methods, SOM (Self Organizing Map) is a well-known non-linear model to extract pattern with numeric data. Many researches extract pattern from numeric data attributes rather than categorical or mixed data. It does not extract the major values from pattern rules, either. The purpose of this study is to provide a novel architecture in mining patterns from mixed data that uses a systematic approach in the financial database information mining, and try to find the patterns for estimate the trend or for special event’s occurrence. This present study employs ESA algorithm which integrates both EViSOM algorithm and EAOI algorithm. EViSOM algorithm is used to calculate the distance between the categorical and numeric data for pattern finding, whereas EAOI algorithm serves to generalize major values using conceptual hierarchies for patterns and major values extraction in financial database. The attempt of using ESA algorithm in this study is to discover the pattern in the Concept Hierarchy based Pattern Discovery (CHPD) architecture. Specifically, this architecture facilitates the direct handling of mixed data, including categorical and numeric values. This mining architecture is able to simulate human intelligence and discover patterns automatically, and it also demonstrates knowledge pattern discovery and rule extraction.

Book ServiceNow IT Operations Management

Download or read book ServiceNow IT Operations Management written by Ajaykumar Guggilla and published by Packt Publishing Ltd. This book was released on 2017-04-27 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Align your business requirements with IT by implementing ServiceNow IT Operations with ease. About This Book Written to the latest specification, it will cover basic to advanced concepts and architecture. Take a service-centric approach to operations management and consolidate all your resource data into a single system IT record. Beat the key challenge of managing multiple business operations (even running globally) over a complex IT infrastructure and see immediate results. Who This Book Is For The book is aimed at System administrators, IT operations and IT managers who plan to implement ServiceNow IT Operations Management for their organization. They have no knowledge of ServiceNow ITOM. What You Will Learn Step by step guide in setting up each features with in ServiceNow ITOM Install and configure the required application or plugin Integrate with other provider services as deemed appropriate Explore Orchestration capabilities and how to analyze the data Learn about the ServiceNow graphical interface Integrate with other applications within ServiceNow Aims to cover the fundamentals concepts to advanced concepts Best practices and advanced features In Detail ServiceNow ITOM enables infrastructure and processes to be managed in a highly automated manner. It contains various segments that ensure its applications and enterprise infrastructures are optimized for high performance and helps in creating a lean and agile organization through service-level visibility and automation. This book will be a comprehensive guide that will be based on Geneva release and will help you discover how IT activities can be connected to your business needs, rather than just focusing on internal IT process. It will take a service-centric approach to operations management and consolidate all your resource data into a single system IT record. You will learn about discovery, orchestration, MID server and cloud management, helping you take full advantage of ServiceNow IT Operations Management to improve the quality of service & increasing the service availability. By the end of the book, you will be able to achieve improved service availability, immediate visibility of vital business services and much more, all from the convenience of your single screen. Style and approach This will be a step by step learning guide helping readers to implement ServiceNow IT Operations Management for their organization.

Book Topology of Digital Images

Download or read book Topology of Digital Images written by James F. Peters and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book carries forward recent work on visual patterns and structures in digital images and introduces a near set-based a topology of digital images. Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximity (nearness) relation. Proximity relations make it possible to construct uniform topologies on the sets of points that constitute a digital image. In keeping with an interest in gaining an understanding of digital images themselves as a rich source of patterns, this book introduces the basics of digital images from a computer vision perspective. In parallel with a computer vision perspective on digital images, this book also introduces the basics of proximity spaces. Not only the traditional view of spatial proximity relations but also the more recent descriptive proximity relations are considered. The beauty of the descriptive proximity approach is that it is possible to discover visual set patterns among sets that are non-overlapping and non-adjacent spatially. By combining the spatial proximity and descriptive proximity approaches, the search for salient visual patterns in digital images is enriched, deepened and broadened. A generous provision of Matlab and Mathematica scripts are used in this book to lay bare the fabric and essential features of digital images for those who are interested in finding visual patterns in images. The combination of computer vision techniques and topological methods lead to a deep understanding of images.

Book Advances in Genomic Sequence Analysis and Pattern Discovery

Download or read book Advances in Genomic Sequence Analysis and Pattern Discovery written by Laura Elnitski and published by World Scientific. This book was released on 2011 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.

Book Knowledge Discovery in Databases  PKDD 2006

Download or read book Knowledge Discovery in Databases PKDD 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Book Software Architect   s Handbook

Download or read book Software Architect s Handbook written by Joseph Ingeno and published by Packt Publishing Ltd. This book was released on 2018-08-30 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to exploring software architecture concepts and implementing best practices Key Features Enhance your skills to grow your career as a software architect Design efficient software architectures using patterns and best practices Learn how software architecture relates to an organization as well as software development methodology Book Description The Software Architect’s Handbook is a comprehensive guide to help developers, architects, and senior programmers advance their career in the software architecture domain. This book takes you through all the important concepts, right from design principles to different considerations at various stages of your career in software architecture. The book begins by covering the fundamentals, benefits, and purpose of software architecture. You will discover how software architecture relates to an organization, followed by identifying its significant quality attributes. Once you have covered the basics, you will explore design patterns, best practices, and paradigms for efficient software development. The book discusses which factors you need to consider for performance and security enhancements. You will learn to write documentation for your architectures and make appropriate decisions when considering DevOps. In addition to this, you will explore how to design legacy applications before understanding how to create software architectures that evolve as the market, business requirements, frameworks, tools, and best practices change over time. By the end of this book, you will not only have studied software architecture concepts but also built the soft skills necessary to grow in this field. What you will learn Design software architectures using patterns and best practices Explore the different considerations for designing software architecture Discover what it takes to continuously improve as a software architect Create loosely coupled systems that can support change Understand DevOps and how it affects software architecture Integrate, refactor, and re-architect legacy applications Who this book is for The Software Architect’s Handbook is for you if you are a software architect, chief technical officer (CTO), or senior developer looking to gain a firm grasp of software architecture.