Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Data Mining Mineria De Datos
Download Data Mining Mineria De Datos full books in PDF, epub, and Kindle. Read online Data Mining Mineria De Datos ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Data Mining and Big Data by : Ying Tan
Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2018-06-09 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
Book Synopsis Data Mining and Machine Learning by : Mohammed J. Zaki
Download or read book Data Mining and Machine Learning written by Mohammed J. Zaki and published by Cambridge University Press. This book was released on 2020-01-30 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Book Synopsis Multilingual Dictionary of Knowledge Management by : Otto Vollnhals
Download or read book Multilingual Dictionary of Knowledge Management written by Otto Vollnhals and published by Walter de Gruyter. This book was released on 2011-09-06 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital preservation is an issue faced by practitioners in Ross Harveythe library and recordkeeping professions, yet most professionalshave little time to keep up with the latest techniquesand standards. This invaluable work provides a single-volume introduction to the principles, strategies and practices currently applied by librarians and recordkeepers to the preservation of digital information and will assist them to make informed decisions about the role of digital information in their care. The book is presented in four parts: Why do we preserve? What do we preserve? How do we preserve? and How do we manage digital preservation? Each part covers the area in detail and addresses current issues in a clear and informative manner. The terminology of the field is explained clearly throughout the book. Each chapter includes a range of case studies from institutionsat the forefront of digital object preservation. An index facilitates quick access. This book will be essential as a professional reference tool for all librarians, recordkeepers and archivists with preservation responsibilities as well as being a definitive source of information for the whole profession including students.
Book Synopsis Mining the Social Web by : Matthew Russell
Download or read book Mining the Social Web written by Matthew Russell and published by "O'Reilly Media, Inc.". This book was released on 2011-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han
Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Book Synopsis Advances in Emerging Trends and Technologies by : Miguel Botto-Tobar
Download or read book Advances in Emerging Trends and Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2019-10-12 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1466624566 Total Pages :2335 pages Book Rating :4.4/5 (666 download)
Book Synopsis Data Mining: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Data Mining: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-11-30 with total page 2335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.
Book Synopsis Intelligent Data Sensing and Processing for Health and Well-being Applications by : Miguel Antonio Wister Ovando
Download or read book Intelligent Data Sensing and Processing for Health and Well-being Applications written by Miguel Antonio Wister Ovando and published by Academic Press. This book was released on 2018-07-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. - Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios - Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods - Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications - Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments
Book Synopsis Data Mining and Analysis by : Mohammed J. Zaki
Download or read book Data Mining and Analysis written by Mohammed J. Zaki and published by Cambridge University Press. This book was released on 2014-05-12 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
Book Synopsis Learning Classifier Systems in Data Mining by : Larry Bull
Download or read book Learning Classifier Systems in Data Mining written by Larry Bull and published by Springer Science & Business Media. This book was released on 2008-05-29 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of Learning Classifier Systems (LCS) to solve complex real-world problems is becoming clear. This book brings together work by a number of individuals who demonstrate the good performance of LCS in a variety of domains.
Download or read book Data Mining IX written by A. Zanasi and published by WIT Press. This book was released on 2008 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together papers presented at the ninth International Conference on Data Mining, this book addresses the developments in this important field. Featured topics include: data preparation, clustering technologies, customer relationship management, text mining, web mining, and categorisation methods.
Book Synopsis Advanced Data Mining and Applications by : Xue Li
Download or read book Advanced Data Mining and Applications written by Xue Li and published by Springer Science & Business Media. This book was released on 2005-07-12 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Book Synopsis Technology Trends by : Miguel Botto-Tobar
Download or read book Technology Trends written by Miguel Botto-Tobar and published by Springer. This book was released on 2017-12-30 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Technology Trends, CITT 2017, held in Babahoyo, Ecuador, in November 2017. The 16 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on communications; computer and software engineering.
Book Synopsis Enciclopedia de Lingüística Hispánica by : Javier Gutiérrez-Rexach
Download or read book Enciclopedia de Lingüística Hispánica written by Javier Gutiérrez-Rexach and published by Routledge. This book was released on 2016-01-29 with total page 1774 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Enciclopedia de Linguistica Hispánica provides comprehensive coverage of the major and subsidiary fields of Spanish linguistics. Entries are extensively cross-referenced and arranged alphabetically within three main sections: Part 1 covers linguistic disciplines, approaches and methodologies. Part 2 brings together the grammar of Spanish, including subsections on phonology, morphology, syntax and semantics. Part 3 brings together the historical, social and geographical factors in the evolution of Spanish. Drawing on the expertise of a wide range of contributors from across the Spanish-speaking world the Enciclopedia de Linguistica Hispánica is an indispensable reference for undergraduate and postgraduate students of Spanish, and for anyone with an academic or professional interest in the Spanish language/Spanish linguistics.
Book Synopsis Knowledge-Oriented Applications in Data Mining by : Kimito Funatsu
Download or read book Knowledge-Oriented Applications in Data Mining written by Kimito Funatsu and published by BoD – Books on Demand. This book was released on 2011-01-21 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.
Book Synopsis Data Mining Applications in Engineering and Medicine by : Adem Karahoca
Download or read book Data Mining Applications in Engineering and Medicine written by Adem Karahoca and published by BoD – Books on Demand. This book was released on 2012-08-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining Applications in Engineering and Medicine targets to help data miners who wish to apply different data mining techniques. Data mining generally covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc. In this book, most of the areas are covered by describing different applications. This is why you will find here why and how Data Mining can also be applied to the improvement of project management. Since Data Mining has been widely used in a medical field, this book contains different chapters reffering to some aspects and importance of its use in the mentioned field: Incorporating Domain Knowledge into Medical Image Mining, Data Mining Techniques in Pharmacovigilance, Electronic Documentation of Clinical Pharmacy Interventions in Hospitals etc. We hope that this book will inspire readers to pursue education and research in this emerging field.
Book Synopsis Mining of Massive Datasets by : Jure Leskovec
Download or read book Mining of Massive Datasets written by Jure Leskovec and published by Cambridge University Press. This book was released on 2014-11-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
