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Developing an Infrastructure for Mobile and Wireless Systems
This book constitutes the thoroughly refereed post-proceedings of an International NSF Workshop on an Infrastructure for Mobile and Wireless Systems held in Scottsdale, Arizona in October 2001. The 11 revised full papers presented together with 4 invited contributions and a comprehensive consensus report for developing an infrastructure for mobile and wireless systems were carefully selected during two rounds of reviewing and improvement. The book assesses the state of the art in the area and provides a research agenda for future R&D work.
Foundations of Multidimensional and Metric Data Structures
Publisher Description
Foundations of Data Organization and Algorithms
This volume presents the proceedings of the Fourth International Conference on Data Organization and Algorithms, FODO '93, held in Evanston, Illinois. FODO '93 reflects the maturing of the database field which hasbeen driven by the enormous growth in the range of applications for databasesystems. The "non-standard" applications of the not-so-distant past, such ashypertext, multimedia, and scientific and engineering databases, now provide some of the central motivation for the advances in hardware technology and data organizations and algorithms. The volume contains 3 invited talks, 22 contributed papers, and 2 panel papers. The contributed papers are grouped into parts on multimedia, access methods, text processing, query processing, industrial applications, physical storage, andnew directions.
Advanced Parallel Processing Technologies
This book constitutes the refereed proceedings of the 5th International Workshop on Advanced Parallel Processing Technologies, APPT 2003, held in Xiamen, China in September 2003. The 57 revised full papers and 21 revised short papers presented were carefully reviewed and selected from 191 full paper submissions. All current aspects in parallel and distributed computing are addressed ranging from hardware and software issues to algorithmic aspects and advanced applications. The papers are organized in topical sections on architecture, software and theory, grid and network, and applied technologies.
Frequent Pattern Mining
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Bulletin
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1650-1850
Exploratory, investigative, and energetically analytical, 1650–1850 covers the full expanse of long eighteenth-century thought, writing, and art while delivering abundant revelatory detail. Essays on well-known cultural figures combine with studies of emerging topics to unveil a vivid rendering of a dynamic period, simultaneously committed to singular genius and universal improvement. Welcoming research on all nations and language traditions, 1650–1850 invites readers into a truly global Enlightenment. Topics in volume 29 include Samuel Johnson’s notions about the education of women and a refreshing account of Sir Joseph Banks’s globetrotting. A guest-edited, illustration-rich, interdisciplinary special feature explores the cultural implications of water. As always, 1650–1850 culminates in a bevy of full-length book reviews critiquing the latest scholarship on long-established specialties, unusual subjects, and broad reevaluations of the period. ISSN 1065-3112 Published by Bucknell University Press, distributed worldwide by Rutgers University Press.
Data Streams
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.
