Data Mining On Multimedia Data

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Multimedia Data Mining

Author : Zhongfei Zhang
Publisher : CRC Press
ISBN 13 : 9781584889670
Total Pages : 320 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Multimedia Data Mining by : Zhongfei Zhang

Download or read book Multimedia Data Mining written by Zhongfei Zhang and published by CRC Press. This book was released on 2008-12-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years. The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great potential of multimedia data mining technologies. In this part, the authors show how to develop a semantic repository training method and a concept discovery method in an imagery database. They demonstrate how knowledge discovery helps achieve the goal of imagery annotation. The authors also describe an effective solution to large-scale video search, along with an application of audio data classification and categorization. This novel, self-contained book examines how the merging of multimedia and data mining research can promote the understanding and advance the development of knowledge discovery in multimedia data.

Multimedia Data Mining and Knowledge Discovery

Author : Valery A. Petrushin
Publisher : Springer Science & Business Media
ISBN 13 : 1846287995
Total Pages : 540 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Multimedia Data Mining and Knowledge Discovery by : Valery A. Petrushin

Download or read book Multimedia Data Mining and Knowledge Discovery written by Valery A. Petrushin and published by Springer Science & Business Media. This book was released on 2007-10-20 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Managing and Mining Multimedia Databases

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1420042556
Total Pages : 352 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Managing and Mining Multimedia Databases by : Bhavani Thuraisingham

Download or read book Managing and Mining Multimedia Databases written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2001-06-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being developed. In fact, developments in multimedia database management have exploded during the past decade. To date, however, there has been little information available on providing a complete set of services for multimedia databases, including their management, mining, and integration on the Web for electronic enterprises. Managing and Mining Multimedia Databases fills that gap. Focusing on managing and mining multimedia databases for electronic commerce and business, it explores database management system techniques for text, image, audio, and video databases. It addresses the issues and challenges of mining multimedia databases to extract information, and discusses the directions and challenges related to integrating multimedia databases for the Web, particularly for e-business. This book provides a comprehensive overview of multimedia data management and mining technologies, from the underlying concepts, architectures, and data models for multimedia database systems to the technologies that support multimedia data management on the Web, privacy issues, and emerging standards, prototypes, and products. Designed for technical managers, executives, and technologists, it offers your only opportunity to learn about both multimedia data management and multimedia data mining within a single book.

Multimedia Data Mining and Analytics

Author : Aaron K. Baughman
Publisher : Springer
ISBN 13 : 3319149989
Total Pages : 454 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Multimedia Data Mining and Analytics by : Aaron K. Baughman

Download or read book Multimedia Data Mining and Analytics written by Aaron K. Baughman and published by Springer. This book was released on 2015-03-31 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Data Mining

Author : Sushmita Mitra
Publisher : John Wiley & Sons
ISBN 13 : 0471474886
Total Pages : 423 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Data Mining by : Sushmita Mitra

Download or read book Data Mining written by Sushmita Mitra and published by John Wiley & Sons. This book was released on 2005-01-21 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining

Data Mining on Multimedia Data

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3540362827
Total Pages : 138 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Data Mining on Multimedia Data by : Petra Perner

Download or read book Data Mining on Multimedia Data written by Petra Perner and published by Springer. This book was released on 2003-07-01 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all kinds of data such as documents, images, and signals. This book introduces the basic concepts of mining multimedia data and demonstrates how to apply these methods in various application fields. It is written for students, ambitioned professionals from industry and medicine, and for scientists who want to contribute R&D work to the field or apply this new technology.

Semantic Mining Technologies for Multimedia Databases

Author : Tao, Dacheng
Publisher : IGI Global
ISBN 13 : 1605661899
Total Pages : 550 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Semantic Mining Technologies for Multimedia Databases by : Tao, Dacheng

Download or read book Semantic Mining Technologies for Multimedia Databases written by Tao, Dacheng and published by IGI Global. This book was released on 2009-04-30 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to recent techniques in multimedia semantic mining necessary to researchers new to the field.

Managing and Mining Multimedia Databases

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 9780849300370
Total Pages : 356 pages
Book Rating : 4.3/5 (3 download)

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Book Synopsis Managing and Mining Multimedia Databases by : Bhavani Thuraisingham

Download or read book Managing and Mining Multimedia Databases written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2001-06-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being developed. In fact, developments in multimedia database management have exploded during the past decade. To date, however, there has been little information available on providing a complete set of services for multimedia databases, including their management, mining, and integration on the Web for electronic enterprises. Managing and Mining Multimedia Databases fills that gap. Focusing on managing and mining multimedia databases for electronic commerce and business, it explores database management system techniques for text, image, audio, and video databases. It addresses the issues and challenges of mining multimedia databases to extract information, and discusses the directions and challenges related to integrating multimedia databases for the Web, particularly for e-business. This book provides a comprehensive overview of multimedia data management and mining technologies, from the underlying concepts, architectures, and data models for multimedia database systems to the technologies that support multimedia data management on the Web, privacy issues, and emerging standards, prototypes, and products. Designed for technical managers, executives, and technologists, it offers your only opportunity to learn about both multimedia data management and multimedia data mining within a single book.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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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

Multimedia Mining

Author : Chabane Djeraba
Publisher : Springer Science & Business Media
ISBN 13 : 1461511410
Total Pages : 242 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Multimedia Mining by : Chabane Djeraba

Download or read book Multimedia Mining written by Chabane Djeraba and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines. Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

Multimedia Data Engineering Applications and Processing

Author : Chen, Shu-Ching
Publisher : IGI Global
ISBN 13 : 146662941X
Total Pages : 350 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Multimedia Data Engineering Applications and Processing by : Chen, Shu-Ching

Download or read book Multimedia Data Engineering Applications and Processing written by Chen, Shu-Ching and published by IGI Global. This book was released on 2013-02-28 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a variety of media types, multimedia data engineering has emerged as a new opportunity to create techniques and tools that empower the development of the next generation of multimedia databases and information systems. Multimedia Data Engineering Applications and Processing presents different aspects of multimedia data engineering and management research. This collection of recent theories, technologies and algorithms brings together a detailed understanding of multimedia engineering and its applications. This reference source will be of essential use for researchers, scientists, professionals and software engineers in the field of multimedia.

Big Data Analytics for Large-Scale Multimedia Search

Author : Stefanos Vrochidis
Publisher : John Wiley & Sons
ISBN 13 : 1119376971
Total Pages : 372 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis

Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Data Mining

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1482252503
Total Pages : 288 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Data Mining by : Bhavani Thuraisingham

Download or read book Data Mining written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-01-23 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues. This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence. Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Mining Text Data

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 1461432235
Total Pages : 524 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Mining Text Data by : Charu C. Aggarwal

Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Mining Multimedia Documents

Author : Wahiba Ben Abdessalem Karaa
Publisher : CRC Press
ISBN 13 : 1315399725
Total Pages : 340 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Mining Multimedia Documents by : Wahiba Ben Abdessalem Karaa

Download or read book Mining Multimedia Documents written by Wahiba Ben Abdessalem Karaa and published by CRC Press. This book was released on 2017-04-21 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.

Innovations in Big Data Mining and Embedded Knowledge

Author : Anna Esposito
Publisher : Springer
ISBN 13 : 3030159396
Total Pages : 276 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Innovations in Big Data Mining and Embedded Knowledge by : Anna Esposito

Download or read book Innovations in Big Data Mining and Embedded Knowledge written by Anna Esposito and published by Springer. This book was released on 2019-07-03 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Multimedia Information Extraction

Author : Mark T. Maybury
Publisher : John Wiley & Sons
ISBN 13 : 111821952X
Total Pages : 436 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Multimedia Information Extraction by : Mark T. Maybury

Download or read book Multimedia Information Extraction written by Mark T. Maybury and published by John Wiley & Sons. This book was released on 2012-07-11 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.