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Book Synopsis Tapping into Unstructured Data by : William H. Inmon
Download or read book Tapping into Unstructured Data written by William H. Inmon and published by Pearson Education. This book was released on 2007-12-11 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more
Book Synopsis Unstructured Data Analytics by : Jean Paul Isson
Download or read book Unstructured Data Analytics written by Jean Paul Isson and published by John Wiley & Sons. This book was released on 2018-03-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.
Book Synopsis Efficient Implementation of High-Order Accurate Numerical Methods on Unstructured Grids by : Wanai Li
Download or read book Efficient Implementation of High-Order Accurate Numerical Methods on Unstructured Grids written by Wanai Li and published by Springer. This book was released on 2014-05-23 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on the development of high-order finite volume methods and discontinuous Galerkin methods, and presents possible solutions to a number of important and common problems encountered in high-order methods, such as the shock-capturing strategy and curved boundary treatment, then applies these methods to solve compressible flows.
Book Synopsis Managing Unstructured Data: NoSQL Database Essentials by : Anooja Ali
Download or read book Managing Unstructured Data: NoSQL Database Essentials written by Anooja Ali and published by MileStone Research Publications. This book was released on 2024-09-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Unstructured Data: NoSQL Database Essentials-is a reference book and guide for teaching and reading skills to college faculty and students. In Chapter1 the fundamentals of database and relational data base are discussed. This chapter helps students to understand data management concepts by data modelling, schema design, data storage and retrieval. This chapter includes the foundational skills that are applicable across various industries and provides a stepping stone for further specialization and career development. The chapter 2 is all about unstructured data. Varying methods for managing, analysing, and storing data are needed for varying levels of organization and complexity, which are represented by structured, unstructured, and semi-structured data. This chapter provides a platform for students to understand the transition from structured to unstructured data in terms of data management and analysis and it is a pivotal aspect of modern data management. In chapter 3 concepts of NoSQL data base and the major differences with SQL & Relational data bases are highlighted. This chapter explains the adoptions of NoSQL with flexible schema, scalability, high performance and support for distributed architecture. Chapter 4 is all about NoSQL databases, or "Not Only SQL" databases which represent a diverse set of database technologies designed to address specific challenges not well served by traditional relational databases. A brief overview of the main types of NoSQL databases are discussed here. The four basic data models such as key-value pairs, document-oriented, columnar, and graph-based structures are represented in this chapter. Information on popular NoSQL database technologies is given in chapter 5. Details of technologies like Apache HBase, Apache CouchDB, Neo4j, Apache Cassandra and their comparison are also provided here. It includes the distributed architecture with fault tolerance, high availability, and disaster recovery capabilities for ensuring data integrity and business continuity. Chapter 6 discusses the overview of Mongo DB which is a document-oriented NoSQL database known for its flexibility, scalability, and ease of use. The features of Mongo DB including document store, MongoDB protocol, horizontal scalability, cross platform compatibility, replication and sharding are also covered here. Chapter 7 deals with Concurrency control in databases. It discusses about the methods to obtain concurrency in structured data, and then in unstructured data, challenges in concurrency control for unstructured data, commits in transaction and the different isolation levels. Chapter 8 discusses on how unstructured data are used in big data processing. It includes Query processing performance evaluation in big data systems, the types od dirty data. Data cleansing is explained in detail with the steps in cleansing, exploratory data analysis, and data visualization. Hope this book on Managing Unstructured Data: NoSQL Database Essentials will provide a handy and useful reference book for teachers and students on Unstructured Database.
Book Synopsis The Power of Unstructured Play- Letting Kids Be Kids by : Aurora Brooks
Download or read book The Power of Unstructured Play- Letting Kids Be Kids written by Aurora Brooks and published by BornIncredible.com. This book was released on with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Unstructured Play: Letting Kids Be Kids Unlock the incredible benefits of unstructured play with "The Power of Unstructured Play: Letting Kids Be Kids." This enlightening short read delves into how allowing children to engage in spontaneous, unplanned activities can profoundly impact their growth and development. Packed with actionable insights and practical advice, this book is a must-read for parents, educators, and anyone invested in nurturing the next generation. Boosting Creativity Discover how unstructured play is a key catalyst for creativity. By giving children the freedom to explore and imagine without rigid guidelines, they develop original thinking and innovative problem-solving skills. Developing Problem-Solving Skills Learn how letting kids tackle challenges on their own fosters critical thinking. Unstructured play encourages children to devise their own solutions and strategies, preparing them for real-world problems. Enhancing Social Skills Unstructured play provides a fertile ground for children to practice and refine their social interactions. This book explores how free play helps kids build friendships, negotiate conflicts, and communicate effectively. Improving Physical Health Find out how unstructured play contributes to physical well-being. Engaging in spontaneous physical activities helps children stay active, build strength, and develop motor skills, which are essential for overall health. Reducing Stress and Anxiety Uncover the calming effects of unstructured play. This book discusses how free play helps alleviate stress and anxiety, promoting a balanced emotional state and mental resilience. Enhancing Emotional Well-being Explore how unstructured play nurtures emotional intelligence. Through free play, children learn to express and manage their emotions, leading to a healthier emotional life. Fostering Curiosity and Exploration Encourage a sense of wonder and discovery. The book highlights how unstructured play fuels curiosity, prompting children to explore new ideas and concepts on their own terms. Improving Cognitive Skills Dive into the cognitive benefits of unstructured play. From enhancing problem-solving abilities to boosting memory, free play supports various aspects of cognitive development. Encouraging Risk-Taking Understand the importance of safe risk-taking. Unstructured play allows children to test their limits and gain confidence, preparing them to tackle challenges with a positive mindset. Promoting Resilience Learn how unstructured play builds resilience. By navigating the ups and downs of free play, children develop the ability to recover from setbacks and persist in the face of difficulties. Building Confidence See how unstructured play fosters self-assurance. The freedom to make decisions and experiment boosts children’s confidence in their abilities and judgments. Unleashing Imagination Unlock the power of imagination. This book emphasizes how unstructured play creates a canvas for children’s creativity, allowing them to invent and explore fantastical worlds. Encouraging Pretend Play Delve into the world of pretend play. Discover how imaginative scenarios enhance cognitive and social skills, allowing children to experiment with different roles and narratives. Creating Personal Narratives Learn how unstructured play helps children craft their own stories. By engaging in spontaneous play, kids develop a sense of identity and personal narrative. Enhancing Brain Development Explore the neurological benefits of free play. The book explains how unstructured play supports brain development, improving various cognitive functions and capacities. Stimulating Sensory Experiences Find out how unstructured play stimulates sensory development. Engaging with different textures, sounds, and sights during free play enhances sensory processing and integration. Improving Executive Function Understand the role of unstructured play in developing executive functions. From impulse control to organization, free play supports essential cognitive skills. Unplugging from Technology Learn the importance of disconnecting from screens. The book discusses how unstructured play provides a much-needed break from technology, promoting healthier habits and interactions. Promoting Outdoor Play Embrace the benefits of outdoor exploration. Discover how unstructured outdoor play fosters physical activity, environmental appreciation, and a connection with nature. Developing Time Management Skills See how unstructured play teaches time management. By navigating their own playtime, children learn to balance activities and manage their time effectively. Supporting Autonomy Explore how unstructured play supports independence. Allowing children to lead their own play fosters self-reliance and decision-making skills. Encouraging Self-Regulation Learn how free play aids in self-regulation. Through unstructured activities, children practice controlling their impulses and emotions, leading to better self-management. Promoting Cultural Understanding Discover how unstructured play fosters cultural awareness. Free play encourages interactions with diverse peers and exploration of different cultural perspectives. Contents: Boosting Creativity Developing Problem-Solving Skills Enhancing Social Skills Improving Physical Health Reducing Stress and Anxiety Enhancing Emotional Well-being Fostering Curiosity and Exploration Improving Cognitive Skills Encouraging Risk-Taking Promoting Resilience Building Confidence Unleashing Imagination Encouraging Pretend Play Creating Personal Narratives Enhancing Brain Development Stimulating Sensory Experiences Improving Executive Function Unplugging from Technology Promoting Outdoor Play Developing Time Management Skills Supporting Autonomy Encouraging Self-Regulation Promoting Cultural Understanding
Book Synopsis Grid Generation and Flow Solution Method for Euler Equations on Unstructured Grids by : W. Kyle Anderson
Download or read book Grid Generation and Flow Solution Method for Euler Equations on Unstructured Grids written by W. Kyle Anderson and published by . This book was released on 1992 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Managing Multimedia and Unstructured Data in the Oracle Database by : Marcelle Kratochvil
Download or read book Managing Multimedia and Unstructured Data in the Oracle Database written by Marcelle Kratochvil and published by Packt Publishing Ltd. This book was released on 2013-03-21 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in simple, easy to understand format with lots of screenshots and step-by-step explanations. If you are an Oracle database administrator, Museum curator, IT manager, Developer, Photographer, Intelligence team member, Warehouse or Software Architect then this book is for you. It covers the basics and then moves to advanced concepts. This will challenge and increase your knowledge enabling all those who read it to gain a greater understanding of multimedia and how all unstructured data is managed.
Book Synopsis Unstructured Grid Generation Techniques and Software by :
Download or read book Unstructured Grid Generation Techniques and Software written by and published by . This book was released on 1993 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Unstructured Data Analysis by : Matthew Windham
Download or read book Unstructured Data Analysis written by Matthew Windham and published by SAS Institute. This book was released on 2018-09-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products.
Book Synopsis Verbal Decision Analysis for Unstructured Problems by : Oleg I. Larichev
Download or read book Verbal Decision Analysis for Unstructured Problems written by Oleg I. Larichev and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: A central problem of prescriptive decision making is the mismatch between the elegant formal models of decision theory and the less elegant, informal thinking of decision makers, especially when dealing with ill-structured situations. This problem has been a central concern of the authors and their colleagues over the past two decades. They have wisely (to my mind) realized that any viable solution must be informed by a deep understanding of both the structural properties of alternative formalisms and the cognitive demands that they impose on decision makers. Considering the two in parallel reduces the risk of forcing decision makers to say things and endorse models that they do not really understand. It opens the door for creative solutions, incorporating insights from both decision theory and cognitive psychology. It is this opportunity that the authors have so ably exploited in this important book. Under the pressures of an interview situation, people will often answer a question that is put to them. Thus, they may be willing to provide a decision consultant with probability and utility assessments for all manner of things. However, if they do not fully understand the implications of what they are saying and the use to which it will be put, then they cannot maintain cognitive mastery of the decision models intended to represent their beliefs and interests.
Book Synopsis Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data by : Andreas Holzinger
Download or read book Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data written by Andreas Holzinger and published by Springer. This book was released on 2013-06-26 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.
Book Synopsis Terrain Aided Localisation of Autonomous Vehicles in Unstructured Environments by : Rajmohan Madhavan
Download or read book Terrain Aided Localisation of Autonomous Vehicles in Unstructured Environments written by Rajmohan Madhavan and published by Universal-Publishers. This book was released on 2003-03-08 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is concerned with the theoretical and practical development of reliable and robust localisation algorithms for autonomous land vehicles operating at high speeds in unstructured, expansive and harsh environments. Localisation is the ability of a vehicle to determine its position and orientation within an operating environment. The need for such a localisation system is motivated by the requirement of developing autonomous vehicles in applications such as mining, agriculture and cargo handling. The main drivers in these applications are for safety, efficiency and productivity. The approach taken to the localisation problem in this thesis guarantees that the safety and reliability requirements imposed by such applications are achieved. The approach also aims to minimise the engineering or modification of the environment, such as adding artificial landmarks or other infrastructure. This is a key driver in the practical implementation of a localisation algorithm. In pursuit of these objectives, this thesis makes the following principal contributions: 1. The development of an Iterative Closest Point - Extended Kalman Filter (ICP-EKF) algorithm - a map-based iconic algorithm that utilises measurements from a scanning laser rangefinder to achieve localisation. The ICP-EKF algorithm entails the development of a map-building algorithm. The main attraction of the map-based localisation algorithm is that it works directly on sensed data and thus does not require extraction and matching of features. It also explicitly takes into account the uncertainty associated with measurements and has the ability to include measurements from a variety of different sensors. 2. The development and implementation of an entropy-based metric to evaluate the information content of measurements. This metric facilitates the augmentation of landmarks to the ICP-EKF algorithm thus guaranteeing reliable and robust localisation. 3. The development and adaptation of a view-invariant Curvature Scale Space (CSS) landmark extraction algorithm. The algorithm is sufficiently robust to sensor noise and is capable of reliably detecting and extracting landmarks that are naturally present in the environment from laser rangefinder scans. 4. The integration of the information metric and the CSS and ICP-EKF algorithms to arrive at a unified localisation framework that uses measurements from both artificial and natural landmarks, combined with dead-reckoning sensors, to deliver reliable vehicle position estimates. The localisation framework developed is sufficiently generic to be used on a variety of other autonomous land vehicle systems. This is demonstrated by its implementation using field data collected from three different trials on three different vehicles. The first trial was carried out on a four-wheel drive vehicle in an underground mine tunnel. The second trial was conducted on a Load-Haul-Dump (LHD) truck in a test tunnel constructed to emulate an underground mine. The estimates of the proposed localisation algorithms are compared to the ground truth provided by an artificial landmark-based localisation algorithm that uses bearing measurements from a laser. To demonstrate the feasibility and reliability of both the natural landmark extraction and localisation algorithms, these are also implemented on a utility vehicle in an outdoor area within the University's campus. The results demonstrate the robustness of the proposed localisation algorithms in producing reliable and accurate position estimates for autonomous vehicles operating in a variety of unstructured domains.
Book Synopsis IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage by : Joseph Dain
Download or read book IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage written by Joseph Dain and published by IBM Redbooks. This book was released on 2019-10-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication provides a comprehensive overview of the IBM Spectrum® Discover metadata management software platform. We give a detailed explanation of how the product creates, collects, and analyzes metadata. Several in-depth use cases are used that show examples of analytics, governance, and optimization. We also provide step-by-step information to install and set up the IBM Spectrum Discover trial environment. More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data such as: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
Book Synopsis Deterministic Numerical Methods for Unstructured-Mesh Neutron Transport Calculation by : Liangzhi Cao
Download or read book Deterministic Numerical Methods for Unstructured-Mesh Neutron Transport Calculation written by Liangzhi Cao and published by Woodhead Publishing. This book was released on 2020-08-30 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deterministic Numerical Methods for Unstructured-Mesh Neutron Transport Calculation presents the latest deterministic numerical methods for neutron transport equations (NTEs) with complex geometry, which are of great demand in recent years due to the rapid development of advanced nuclear reactor concepts and high-performance computational technologies. This book covers the wellknown methods proposed and used in recent years, not only theoretical modeling but also numerical results. This book provides readers with a very thorough understanding of unstructured neutron transport calculations and enables them to develop their own computational codes. The fundamentals, numerical discretization methods, algorithms, and numerical results are discussed. Researchers and engineers from utilities and research institutes are provided with examples on how to model an advanced nuclear reactor, which they can then apply to their own research projects and lab settings. - Combines the theoretical models with numerical methods and results in one complete resource - Presents the latest progress on the topic in an easy-to-navigate format
Book Synopsis Unstructured Data Analytics by : Jean Paul Isson
Download or read book Unstructured Data Analytics written by Jean Paul Isson and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.
Book Synopsis Progress in Unstructured-grid Methods Development for Unsteady Aerodynamic Applications by :
Download or read book Progress in Unstructured-grid Methods Development for Unsteady Aerodynamic Applications written by and published by . This book was released on 1992 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algebraic Turbulence Modeling for Unstructured and Adaptive Meshes by : D. J. Mavriplis
Download or read book Algebraic Turbulence Modeling for Unstructured and Adaptive Meshes written by D. J. Mavriplis and published by . This book was released on 1990 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
