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Knowledge Discovery from Data Streams

Author: Joao Gama

Publisher: CRC Press

Published: 2010-05-25

Total Pages: 256

ISBN-13: 1439826129

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

Data Streams

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

Published: 2007-04-03

Total Pages: 365

ISBN-13: 0387475346

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This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.

Web Semantics for Textual and Visual Information Retrieval

Author: Singh, Aarti

Publisher: IGI Global

Published: 2017-02-22

Total Pages: 290

ISBN-13: 1522524843

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Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

Data Streams

Author: S. Muthukrishnan

Publisher: Now Publishers Inc

Published: 2005

Total Pages: 136

ISBN-13: 193301914X

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In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size. In the past few years, a new theory has emerged for reasoning about algorithms that work within these constraints on space, time, and number of passes. Some of the methods rely on metric embeddings, pseudo-random computations, sparse approximation theory and communication complexity. The applications for this scenario include IP network traffic analysis, mining text message streams and processing massive data sets in general. Researchers in Theoretical Computer Science, Databases, IP Networking and Computer Systems are working on the data stream challenges.

Discovery Science

Author: Bernahrd Pfahringer

Publisher: Springer

Published: 2010-11-02

Total Pages: 384

ISBN-13: 3642161847

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Annotation. This book constitutes the refereed proceedings of the 13th International Conference on Discovery Science, DS 2010, held in Canberra, Australia, in October 2010. The 25 revised full papers presented were carefully selected from 43 submissions and include the first part of the book. In a second part invited talks of ALT 2010 and DS 2010 are presented. The scope of the conference is the exchange of new ideas and information among researchers working in the area of automatic scientific discovery or working on tools for supporting the human process of discovery in science.

Learning from Data Streams

Author: João Gama

Publisher: Springer Science & Business Media

Published: 2007-10-11

Total Pages: 486

ISBN-13: 3540736786

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Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.

Social Network Analytics for Contemporary Business Organizations

Author: Bansal, Himani

Publisher: IGI Global

Published: 2018-03-23

Total Pages: 321

ISBN-13: 1522550984

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Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.

Machine Learning Techniques for Improved Business Analytics

Author: Dileep Kumar G

Publisher: Business Science Reference

Published: 2018-12-13

Total Pages: 308

ISBN-13: 9781522588511

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"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author: Ashok N. Srivastava

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 489

ISBN-13: 1439841799

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This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2018-01-05

Total Pages: 2336

ISBN-13: 1522551921

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With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.