Music Data Mining

Music Data Mining

Author: Tao Li

Publisher: CRC Press

Published: 2011-07-12

Total Pages: 372

ISBN-13: 1439835551

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The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to


Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition

Author: Petra Perner

Publisher: Springer

Published: 2003-06-26

Total Pages: 222

ISBN-13: 3540480978

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The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown on applications such as document analysis and medical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quality database contents can be achieved if it were possible to mine these databases for their underlying information. Such mining techniques have to consider the specific characteristic of the image sources. The field of mining multimedia databases is just starting out. We hope that our workshop can attract many other researchers to this subject.


Soft Computing for Data Mining Applications

Soft Computing for Data Mining Applications

Author: K. R. Venugopal

Publisher: Springer

Published: 2009-02-24

Total Pages: 354

ISBN-13: 3642001939

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The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.


Next Generation Information Technologies and Systems

Next Generation Information Technologies and Systems

Author: Opher Etzion

Publisher: Springer Science & Business Media

Published: 2006-06-20

Total Pages: 379

ISBN-13: 3540354727

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This book constitutes the refereed proceedings of the 6th International Workshop on Next Generation Information Technologies and Systems, NGITS 2006, held in Kibbutz Shefayim, Israel, July 2006. The book presents 28 revised full papers and four revised short papers together with three invited papers. Topical sections include information integration, next generation applications, information systems development, security and privacy, semi-structured data, frameworks, models and taxonomies, simulation and incremental computing, and more.


Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Author: Wang, John

Publisher: IGI Global

Published: 2008-05-31

Total Pages: 4092

ISBN-13: 159904952X

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In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.


Digital Libraries: International Collaboration and Cross-Fertilization

Digital Libraries: International Collaboration and Cross-Fertilization

Author: Zhaoneng Chen

Publisher: Springer

Published: 2004-11-29

Total Pages: 708

ISBN-13: 3540305440

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The International Conference on Asian Digital Libraries (ICADL) is an annual international forum that provides opportunities for librarians, researchers and experts to exchange their research results, innovative ideas, service experiences and state-- the-art developments in the field of digital libraries. Building on the success of the first six ICADL conferences, the 7th ICADL conference hosted by the Shanghai Jiao Tong University and the Shanghai Library in Shanghai, China aimed to further strengthen the academic collaboration and strategic alliance in the Asia- Pacific Region in the development of digital libraries. The theme of ICADL 2004 was: Digital library: International Collaboration and Cross-fertilization, with its focus on technology, services, management and localization. The conference began with an opening ceremony and the conference program featured 9 keynote speeches and 5 invited speeches by local and international experts. During the 3-day program, 40 research paper presentations were given in 3 parallel sessions. The conference also included 6 tutorials and an exhibition. The conference received 359 submissions, comprising 248 full papers and 111 short papers. Each paper was carefully reviewed by the Program Committee members. Finally, 44 full papers, 15 short papers and 37 poster papers were selected. On behalf of the Organizing and Program Committees of ICADL 2004, we would like to express our appreciation to all authors and attendees for participating in the conference. We also thank the sponsors, Program Committee members, supporting organizations and helpers for making the conference a success. Without their efforts, the conference would not have been possible.


New Frontiers in Mining Complex Patterns

New Frontiers in Mining Complex Patterns

Author: Annalisa Appice

Publisher: Springer

Published: 2014-07-05

Total Pages: 265

ISBN-13: 3319084070

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This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2013, held in conjunction with ECML/PKDD 2013 in Prague, Czech Republic, in September 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on data streams and time series analysis, classification, clustering and pattern discovery, graphs, networks and relational data, machine learning and music data.


Processing and Managing Complex Data for Decision Support

Processing and Managing Complex Data for Decision Support

Author: Darmont, J‚r“me

Publisher: IGI Global

Published: 2006-03-31

Total Pages: 433

ISBN-13: 1591406579

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"This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.


Next Generation of Data Mining

Next Generation of Data Mining

Author: Hillol Kargupta

Publisher: CRC Press

Published: 2008-12-24

Total Pages: 640

ISBN-13: 1420085875

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Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di