Advances in Knowledge Discovery and Data Mining

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ISBN 13 :
Total Pages : 638 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Usama M. Fayyad

Download or read book Advances in Knowledge Discovery and Data Mining written by Usama M. Fayyad and published by . This book was released on 1996 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Advances in Knowledge Discovery and Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3642005799
Total Pages : 340 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Fabrice Guillet

Download or read book Advances in Knowledge Discovery and Management written by Fabrice Guillet and published by Springer Science & Business Media. This book was released on 2010-06-11 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.

Advances in Knowledge Management

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Publisher : Springer
ISBN 13 : 3319095013
Total Pages : 219 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Advances in Knowledge Management by : Ettore Bolisani

Download or read book Advances in Knowledge Management written by Ettore Bolisani and published by Springer. This book was released on 2014-11-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book celebrates the past, present and future of knowledge management. It brings a timely review of two decades of the accumulated history of knowledge management. By tracking its origin and conceptual development, this review contributes to the improved understanding of the field and helps to assess the unresolved questions and open issues. For practitioners, the book provides a clear evidence of value of knowledge management. Lessons learnt from implementations in business, government and civil sectors help to appreciate the field and gain useful reference points. The book also provides guidance for future research by drawing together authoritative views from people currently facing and engaging with the challenge of knowledge management, who signal a bright future for the field.

Advances in Knowledge Discovery and Management

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Publisher :
ISBN 13 : 9783031404054
Total Pages : 0 pages
Book Rating : 4.5X/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Rakia Jaziri

Download or read book Advances in Knowledge Discovery and Management written by Rakia Jaziri and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Knowledge Discovery and Management

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Publisher : Springer Nature
ISBN 13 : 3030902870
Total Pages : 207 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Rakia Jaziri

Download or read book Advances in Knowledge Discovery and Management written by Rakia Jaziri and published by Springer Nature. This book was released on 2022-03-14 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC’2019held in Metz (France, January 21-25, 2019). These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.

Advances in Knowledge Discovery and Data Mining

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Publisher : Springer
ISBN 13 : 9783030474256
Total Pages : 886 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Hady W. Lauw

Download or read book Advances in Knowledge Discovery and Data Mining written by Hady W. Lauw and published by Springer. This book was released on 2020-05-09 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

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Publisher : CRC Press
ISBN 13 : 1439841799
Total Pages : 489 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Machine Learning and Knowledge Discovery for Engineering Systems Health Management by : Ashok N. Srivastava

Download or read book Machine Learning and Knowledge Discovery for Engineering Systems Health Management written by Ashok N. Srivastava and published by CRC Press. This book was released on 2016-04-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Knowledge Discovery and Management

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Publisher : Springer
ISBN 13 : 3319457632
Total Pages : 278 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Fabrice Guillet

Download or read book Advances in Knowledge Discovery and Management written by Fabrice Guillet and published by Springer. This book was released on 2016-11-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks. Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.

Magnetic Bubble Technology

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Publisher : Springer Science & Business Media
ISBN 13 : 3642965490
Total Pages : 328 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Magnetic Bubble Technology by : A. H. Eschenfelder

Download or read book Magnetic Bubble Technology written by A. H. Eschenfelder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.

Advances in Knowledge Discovery and Management

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Publisher : Springer
ISBN 13 : 3030181294
Total Pages : 183 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Advances in Knowledge Discovery and Management by : Bruno Pinaud

Download or read book Advances in Knowledge Discovery and Management written by Bruno Pinaud and published by Springer. This book was released on 2019-06-20 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.