Автор: Lemahieu Wilfried Название: Principles of Database Management ISBN: 1107186129 ISBN-13(EAN): 9781107186125 Издательство: Cambridge Academ Рейтинг: Цена: 65470.00 T Наличие на складе: Есть Описание: A theory-practice focused text that teaches fundamentals of database management, design, modeling, Big Data, analytics, and more. Real-world examples, query walkthroughs, illustrations and case studies, make this perfect for introductory courses for advanced undergraduates or graduate students in information systems or computer science.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation ISBN: 3319475231 ISBN-13(EAN): 9783319475233 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.
Автор: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh Название: Data Mining, Rough Sets and Granular Computing ISBN: 3790825085 ISBN-13(EAN): 9783790825084 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality.
Автор: Chiranji Lal Chowdhary Название: Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics ISBN: 1771888008 ISBN-13(EAN): 9781771888004 Издательство: Taylor&Francis Рейтинг: Цена: 133730.00 T Наличие на складе: Невозможна поставка. Описание: This volume, Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics, helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing approaches to develop good intelligent system
Автор: Faisal Saeed; Nadhmi Gazem; Fathey Mohammed; Abdel Название: Recent Trends in Data Science and Soft Computing ISBN: 3319990063 ISBN-13(EAN): 9783319990064 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Нет в наличии. Описание: This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.
Автор: Ching-Nung Yang; Sheng-Lung Peng; Lakhmi C. Jain Название: Security with Intelligent Computing and Big-data Services ISBN: 3030169456 ISBN-13(EAN): 9783030169459 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the proceedings of the 2018 International Conference on Security with Intelligent Computing and Big-data Services (SICBS 2018). With the proliferation of security with intelligent computing and big-data services, the issues of information security, big data, intelligent computing, blockchain technology, and network security have attracted a growing number of researchers. Discussing topics in areas including blockchain technology and applications; multimedia security; information processing; network, cloud and IoT security; cryptography and cryptosystems; as well as learning and intelligent computing and information hiding, the book provides a platform for researchers, engineers, academics and industrial professionals from around the globe to present their work in security-related areas. It not only introduces novel and interesting ideas, but also stimulates discussions and inspires new ideas.
Автор: Lucio Grandinetti; Seyedeh Leili Mirtaheri; Reza S Название: High-Performance Computing and Big Data Analysis ISBN: 3030334945 ISBN-13(EAN): 9783030334949 Издательство: Springer Рейтинг: Цена: 85710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019.
The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.
Автор: Mahmood Название: Data Science and Big Data Computing ISBN: 3319318594 ISBN-13(EAN): 9783319318592 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.
Автор: Bhattacharyya, Siddhartha Maulik, Ujjwal Название: Soft computing for image and multimedia data processing ISBN: 3642402542 ISBN-13(EAN): 9783642402548 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Soft Computing for Image and Multimedia Data Processing
Автор: Arun Kumar Sangaiah; Arunkumar Thangavelu; Venkate Название: Cognitive Computing for Big Data Systems Over IoT ISBN: 331970687X ISBN-13(EAN): 9783319706870 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Beyond Automation: The Cognitive IoT - Artificial Intelligence Brings Sense to the Internet of Things.- Cybercrimes Investigation and Intrusion Detection in Internet of Things Based on Data Science Methods.- Modeling and Analysis of Multi-Objective Service Selection Scheme in IoT-Cloud Environment.- Cognitive data science automatic fraud detection solution, based on Benford' s law, fuzzy logic with elements of machine learning.- Reliable Cross Layer Design for E-health Applications - IoT Perspective.- Erasure Codes for Reliable Communication in Internet-ofThings (IoT) embedded with Wireless Sensors.- Review: Security and Privacy Issues of Fog Computing.- A Review on Security and Privacy Challenges of Big Data.- Recent Developments in Deep Learning with Applications.- High-Level Knowledge Representation and Reasoning in a Cognitive IoT/WoT Context.- Applications of IoT in Healthcare.- Security Stipulations on IoT Networks.- A Hyper Heuristic Localization Based Cloned Node Detection Technique using GSA Based Simulated Annealing in Sensor Networks.- Review on Analysis of the Application Areas and Algorithms used in Data Wrangling in Big Data.- An innovation model for Smart Traffic Management System Using Internet of Things(IoT).
Автор: Oded Maimon; Lior Rokach Название: Soft Computing for Knowledge Discovery and Data Mining ISBN: 144194351X ISBN-13(EAN): 9781441943514 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.
Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining. This edited volume by highly regarded authors, includes several contributors of the 2005, Data Mining and Knowledge Discovery Handbook. This book was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including manufacturing, medical, banking, insurance and others, but also includes various real-world case studies with detailed results.
Soft Computing for Knowledge Discovery and Data Mining is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a secondary textbook or reference for advanced-level students in information systems, engineering, computer science and statistics management.
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