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Recognising Patterns In Large Data Sets
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Book Synopsis Pattern Recognition And Big Data by : Sankar Kumar Pal
Download or read book Pattern Recognition And Big Data written by Sankar Kumar Pal and published by World Scientific. This book was released on 2016-12-15 with total page 875 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.
Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2005-07-13 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output
Download or read book Digitisation written by Gertraud Koch and published by Routledge. This book was released on 2017-07-14 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, digital technologies have become pervasive in academic and everyday life. This comprehensive volume covers a wide range of concepts for studying the new cultural dynamics that are evident as a result of digitisation. It considers how the cultural changes triggered by digitisation processes can be approached empirically. The chapters include carefully chosen examples and help readers from disciplines such as Anthropology, Sociology, Media Studies, and Science & Technology Studies to grasp digitisation theoretically as well as methodologically.
Author :International Association for Pattern Recognition Publisher :Springer Science & Business Media ISBN 13 :3642177107 Total Pages :325 pages Book Rating :4.6/5 (421 download)
Book Synopsis Recognizing Patterns in Signals, Speech, Images, and Videos by : International Association for Pattern Recognition
Download or read book Recognizing Patterns in Signals, Speech, Images, and Videos written by International Association for Pattern Recognition and published by Springer Science & Business Media. This book was released on 2011-01-04 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul, Turkey, in August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task, ImageCLEF@ICPR - Robot Vision Task, MOBIO - Mobile Biometry Face and Speaker Verification Evaluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.
Book Synopsis Big Data—A New Medium? by : Natasha Lushetich
Download or read book Big Data—A New Medium? written by Natasha Lushetich and published by Routledge. This book was released on 2020-11-26 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It’s always remediation of older media. What is new is the medium’s re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural, and media studies.
Book Synopsis Patterns, Predictions, and Actions: Foundations of Machine Learning by : Moritz Hardt
Download or read book Patterns, Predictions, and Actions: Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers
Book Synopsis The Ethics of Biomedical Big Data by : Brent Daniel Mittelstadt
Download or read book The Ethics of Biomedical Big Data written by Brent Daniel Mittelstadt and published by Springer. This book was released on 2016-08-03 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.
Book Synopsis Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information by : Mehmet Ali Yilbasi
Download or read book Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information written by Mehmet Ali Yilbasi and published by Mehmet Ali Yılbaşı. This book was released on 2023-06-11 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ebook is a guide for anyone who wants to understand the impact of Data Analytics and Artificial Intelligence in business and explore how these technologies can be applied. Businesses should use this association correctly to extract more valuable information from large data sets, optimize their operational processes and gain competitive advantage. Throughout our book, we will try to explain the potential in Data Analytics and Artificial Intelligence with examples, practical tips and real-world applications. We will also provide resources and recommendations for our readers who want to follow developments in these areas.
Book Synopsis The Dictionary of Artificial Intelligence by : Utku Taşova
Download or read book The Dictionary of Artificial Intelligence written by Utku Taşova and published by Entropol. This book was released on 2023-11-03 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.
Book Synopsis Pattern Recognition by : Peng-Yeng Yin
Download or read book Pattern Recognition written by Peng-Yeng Yin and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition.
Book Synopsis Text Mining of the Scientific Literature to Identify Pharmacogenomic Interactions by : Yael Garten
Download or read book Text Mining of the Scientific Literature to Identify Pharmacogenomic Interactions written by Yael Garten and published by Stanford University. This book was released on 2010 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pharmacogenomics is the study of how variation in the human genome impacts drug response in patients. It is a major driving force of "personalized medicine" in which drug choice and dosing decisions are informed by individual information such as DNA genotype. The field of pharmacogenomics is in an era of explosive growth; massive amounts of data are being collected and knowledge discovered, which promises to push forward the reality of individualized clinical care. However, this large amount of data is dispersed in many journals in the scientific literature and pharmacogenomic findings are discussed in a variety of non-standardized ways. It is thus challenging to identify important associations between drugs and molecular entities, particularly genes and gene variants. Thus, these critical connections are not easily available to investigators or clinicians who wish to survey the state of knowledge for any particular gene, drug, disease or variant. Manual efforts have attempted to catalog this information, however the rapid expansion of pharmacogenomic literature has made this approach infeasible. Natural Language Processing and text mining techniques allow us to convert free-style text to a computable, searchable format in which pharmacogenomic concepts such as genes, drugs, polymorphisms, and diseases are identified, and important links between these concepts are recorded. My dissertation describes novel computational methods to extract and predict pharmacogenomic relationships from text. In one project, we extract pharmacogenomic relationships from the primary literature using text-mining. We process information at the fine-grained sentence level using full text when available. In a second project, we investigate the use of these extracted relationships in place of manually curated relationships as input into an algorithm that predicts pharmacogenes for a drug of interest. We show that for this application we can perform as well with text-mined relationships as with manually curated information. This approach holds great promise as it is cheaper, faster, and more scalable than manual curation. Our method provides us with interesting drug-gene relationship predictions that warrant further experimental investigation. In the third project, we describe knowledge inference in the context of pharmacogenomic relationships. Using cutting-edge natural language processing tools and automated reasoning, we create a rich semantic network of 40,000 pharmacogenomic relationships distilled from 17 million Medline abstracts. This network connects over 200 entity types with clear semantics using more than 70 unique types of relationships. We use this network to create collections of precise and specific types of knowledge, and infer relationships not stated explicitly in the text but rather inferred from the large number of related sentences found in the literature. This is exciting because it demonstrates that we are able to overcome the heterogeneity of written language and infer the correct semantics of the relationship described by authors. Finally, we can use this network to identify conflicting facts described in the literature, to study change in language use over time, and to predict drug-drug interactions. These achievements provide us with new ways of interacting with the literature and the knowledge embedded within it, and help ensure that we do not bury the knowledge embodied in the publications, but rather connect the often fragmented and disconnected pieces of knowledge spread across millions of articles in hundreds of journals. We are thereby brought one step closer to the realization of personalized medicine and ensure that as scientists, we continue to build on the knowledge discovered by past generations and truly to stand on the shoulders of giants.
Book Synopsis Advanced Applications of Python Data Structures and Algorithms by : Galety, Mohammad Gouse
Download or read book Advanced Applications of Python Data Structures and Algorithms written by Galety, Mohammad Gouse and published by IGI Global. This book was released on 2023-07-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Book Synopsis AI for Digital Warfare by : Niklas Hageback
Download or read book AI for Digital Warfare written by Niklas Hageback and published by CRC Press. This book was released on 2021-08-16 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI for Digital Warfare explores how the weaponising of artificial intelligence can and will change how warfare is being conducted, and what impact it will have on the corporate world. With artificial intelligence tools becoming increasingly advanced, and in many cases more humanlike, their potential in psychological warfare is being recognised, which means digital warfare can move beyond just shutting down IT systems into more all-encompassing hybrid war strategies.
Book Synopsis Handbook on Augmenting Telehealth Services by : Sonali Vyas
Download or read book Handbook on Augmenting Telehealth Services written by Sonali Vyas and published by CRC Press. This book was released on 2024-01-26 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Book Synopsis Next Generation Science Standards by : NGSS Lead States
Download or read book Next Generation Science Standards written by NGSS Lead States and published by National Academies Press. This book was released on 2013-09-15 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Next Generation Science Standards identifies the science all K-12 students should know. These new standards are based on the National Research Council's A Framework for K-12 Science Education. The National Research Council, the National Science Teachers Association, the American Association for the Advancement of Science, and Achieve have partnered to create standards through a collaborative state-led process. The standards are rich in content and practice and arranged in a coherent manner across disciplines and grades to provide all students an internationally benchmarked science education. The print version of Next Generation Science Standards complements the nextgenscience.org website and: Provides an authoritative offline reference to the standards when creating lesson plans Arranged by grade level and by core discipline, making information quick and easy to find Printed in full color with a lay-flat spiral binding Allows for bookmarking, highlighting, and annotating
Book Synopsis Digital Health in Focus of Predictive, Preventive and Personalised Medicine by : Lotfi Chaari
Download or read book Digital Health in Focus of Predictive, Preventive and Personalised Medicine written by Lotfi Chaari and published by Springer Nature. This book was released on 2020-09-30 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will address the topic of P4 medicine from the information technology point of view, and will be focused on the following topics: - Artificial Intelligence for health • Knowledge extraction • Decision-aid systems • Data analysis and risk prediction • Machine learning, deep learning - Health data processing • Data preprocessing, cleaning, management and mining • Computer-aided detection • Big data analysis, prediction and prevention • Cognitive algorithms for healthcare handling dynamic context management • Augmented reality, Motion detection and activity recognition - Devices, infrastructure and communication • Wearable & connected devices • Communication infrastructures, architectures and standards Blockchain for e-Health • Computing/storage infrastructures for e-Health • IoT devices & architectures for Smart Healthcare - Health information systems • Telemedicine, Teleservices • Computing/storage infrastructures for e-Health • Clinical Data Visualisation Standards - Security and privacy for e-health • Health data Analytics for Security and Privacy • E-health Software and Hardware Security • Embedded Security for e-health - Applications in P4 medicine
Download or read book I, Warbot written by Kenneth Payne and published by Oxford University Press. This book was released on 2021-12-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is going to war. Intelligent weapon systems are here today, and many more are on the way tomorrow. Already, they're reshaping conflict--from the chaos of battle, with pilotless drones, robot tanks and unmanned submersibles, to the headquarters far from the action, where generals and politicians use technology to weigh up what to do. AI changes how we fight, and even how likely it is that we will. In battle, warbots will be faster, more agile and more deadly than today's crewed weapons. New tactics and concepts will emerge, with spoofing and swarming to fool and overwhelm enemies. Strategies are changing too. When will an intelligent machine escalate, and how can it be deterred? Can robots predict the future? And what happens to the 'art of war' as machines themselves become creative? Autonomous warfare makes many people uneasy. An international campaign against 'killer robots' hopes to ban AI from conflict. But the genie is out--AI weapons are too useful for states to outlaw. Still, crafting sensible rules for warbots is possible. This fascinating book shows how it might be done.
