Häftad, Engelska, 2017
176 kr
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Charles Nicholas – författare
Visar alla böcker från författaren Charles Nicholas. Handla med fri frakt och snabb leverans.
9 produkter
9 produkter
- Inbunden, Engelska, 2005
1 147 kr
Skickas inom 10-15 vardagar
Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas. - E-bokPDF, Engelska, 2006
1 427 kr
Läs direkt efter köp
Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.
Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.
The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.
- E-bokPDF, Engelska, 2003
739 kr
Läs direkt efter köp
This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Principles of Digital Document Processing, PODDP''98, held in Saint Malo, France, in March 1998. The 12 revised full papers presented were carefully reviewed during two rounds of selection for inclusion in the book. The book is divided into sections on document models and structures, characterization of documents and corpora, and accessing collections of documents. - Häftad, Engelska, 1997
577 kr
Skickas inom 10-15 vardagar
This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Principles of Document Processing, PODP'96, held in Palo Alto, California, USA, in September 1996. The book contains 13 revised full papers presented as chapters of a coherent, monograph-like book. The papers focus equally on the theory and the practice of document processing. Among the topics covered are theory of media, cross media publishing and multi-modal documents, SGML content models, grammar-compatible stylesheets, multimedia documents, temporal constraints in multimedia, hypertext representation, contextual knowledge, structured documents for IR, Web-publishing, virtual documents, etc. - Häftad, Engelska, 1997
577 kr
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This book constitutes a coherent anthology consisting of invited chapter-length papers on intelligent hypertext techniques with special emphasis on how to apply these techniques to the World Wide Web.The book provides an introductory preface by the volume editors and chapters on information comprehension through hypertext, efficient techniques for adaptive hypermedia, annotaded 3D environments on the Web, user models for customized hypertext, conceptual analysis of hypertext, two-level models of hypertext, the TELLTALE dynamic hypertext environment, hypertext for collaborative authoring, information retrieval and information agents. - Häftad, Engelska, 1998
577 kr
Skickas inom 10-15 vardagar
This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Principles of Digital Document Processing, PODDP'98, held in Saint Malo, France, in March 1998.The 12 revised full papers presented were carefully reviewed during two rounds of selection for inclusion in the book. The book is divided into sections on document models and structures, characterization of documents and corpora, and accessing collections of documents. - Häftad, Engelska, 2010
1 147 kr
Skickas inom 10-15 vardagar
Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas. - Inbunden, Engelska, 2026
1 790 kr
Kommande
Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the intersection of machine learning and cyber security, particularly around the problem of malware targeting the Windows platform.This useful volume's contributions come from a range of experts, representing large companies, major universities, and government labs, all working at the frontiers of malware detection and remediation research.
