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Author : Christopher Roedel
Publisher : Unknown
Page : 104 pages
File Size : 45,7 Mb
Release : 2005
Category : Electronic
ISBN : UCSD:31822009466590
Author : James Bailey,Latifur Khan,Takashi Washio,Gill Dobbie,Joshua Zhexue Huang,Ruili Wang
Publisher : Springer
Page : 572 pages
File Size : 54,7 Mb
Release : 2016-04-11
Category : Computers
ISBN : 9783319317502
This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.
Author : Anonim
Publisher : Unknown
Page : 396 pages
File Size : 49,6 Mb
Release : 2004
Category : Internet
ISBN : UOM:39015058885982
Author : Qing Zhao
Publisher : Morgan & Claypool Publishers
Page : 167 pages
File Size : 45,7 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9781627058711
Multi-armed bandit problems pertain to optimal sequential decision making and learning in unknown environments. Since the first bandit problem posed by Thompson in 1933 for the application of clinical trials, bandit problems have enjoyed lasting attention from multiple research communities and have found a wide range of applications across diverse domains. This book covers classic results and recent development on both Bayesian and frequentist bandit problems. We start in Chapter 1 with a brief overview on the history of bandit problems, contrasting the two schools—Bayesian and frequentis —of approaches and highlighting foundational results and key applications. Chapters 2 and 4 cover, respectively, the canonical Bayesian and frequentist bandit models. In Chapters 3 and 5, we discuss major variants of the canonical bandit models that lead to new directions, bring in new techniques, and broaden the applications of this classical problem. In Chapter 6, we present several representative application examples in communication networks and social-economic systems, aiming to illuminate the connections between the Bayesian and the frequentist formulations of bandit problems and how structural results pertaining to one may be leveraged to obtain solutions under the other.
Author : Simeon Simoff,Michael H. Böhlen,Arturas Mazeika
Publisher : Springer Science & Business Media
Page : 417 pages
File Size : 47,7 Mb
Release : 2008-07-18
Category : Computers
ISBN : 9783540710790
The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
Author : Peter Stavroulakis,Mark Stamp
Publisher : Springer Science & Business Media
Page : 863 pages
File Size : 40,9 Mb
Release : 2010-02-23
Category : Technology & Engineering
ISBN : 9783642041174
At its core, information security deals with the secure and accurate transfer of information. While information security has long been important, it was, perhaps, brought more clearly into mainstream focus with the so-called “Y2K” issue. Te Y2K scare was the fear that c- puter networks and the systems that are controlled or operated by sofware would fail with the turn of the millennium, since their clocks could lose synchronization by not recognizing a number (instruction) with three zeros. A positive outcome of this scare was the creation of several Computer Emergency Response Teams (CERTs) around the world that now work - operatively to exchange expertise and information, and to coordinate in case major problems should arise in the modern IT environment. Te terrorist attacks of 11 September 2001 raised security concerns to a new level. Te - ternational community responded on at least two fronts; one front being the transfer of reliable information via secure networks and the other being the collection of information about - tential terrorists. As a sign of this new emphasis on security, since 2001, all major academic publishers have started technical journals focused on security, and every major communi- tions conference (for example, Globecom and ICC) has organized workshops and sessions on security issues. In addition, the IEEE has created a technical committee on Communication and Information Security. Te ?rst editor was intimately involved with security for the Athens Olympic Games of 2004.
Author : Vasilios Siris,Sotiris Ioannidis,Kostas Anagnostakis,Panagiotis Trimintzios
Publisher : Springer Science & Business Media
Page : 165 pages
File Size : 43,9 Mb
Release : 2010-06-09
Category : Computers
ISBN : 9780387855554
The European Conference on Computer and Network Defense draws contributions and participation both from academia and industry, and addresses security from multiple perspectives, including state-of-the-art research in computer network security, intrusion detection, denial-of-service, privacy protection, security policies, and incident response & management. The conference is organized jointly by the Institute of Computer Science of the Foundation for Research and Technology – Hellas (FORTH) and the European Network and Information Security Agency (ENISA).
Author : Ming Li
Publisher : CRC Press
Page : 297 pages
File Size : 55,6 Mb
Release : 2023-01-09
Category : Computers
ISBN : 9781000817898
This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.
Author : Karin Bernsmed,Simone Fischer-Hübner
Publisher : Springer
Page : 298 pages
File Size : 48,9 Mb
Release : 2014-10-06
Category : Computers
ISBN : 9783319115993
This book constitutes the proceedings of the 19th Nordic Conference on Secure IT Systems, held in Tromsø, Norway, in October 2014. The 15 full papers presented in this volume were carefully reviewed and selected from 42 submissions. They are organized in topical sections named: information management and data privacy; cloud, big data and virtualization security; network security and logging; attacks and defenses; and security in healthcare and biometrics. The volume also contains one full-paper invited talk.
Author : Reda Alhajj,Hong Gao,Xue Li,Jianzhong Li,Osmar R. Zaiane
Publisher : Springer Science & Business Media
Page : 649 pages
File Size : 49,6 Mb
Release : 2007-07-17
Category : Computers
ISBN : 9783540738701
This book constitutes the refereed proceedings of the Third International Conference on Advanced Data Mining and Applications, ADMA 2007, held in Harbin, China in August 2007. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining.
Author : Walter Daelemans,Katharina Morik
Publisher : Springer
Page : 698 pages
File Size : 49,5 Mb
Release : 2008-08-17
Category : Computers
ISBN : 9783540874812
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Author : Nieves R. Brisaboa,Simon J. Puglisi
Publisher : Springer Nature
Page : 537 pages
File Size : 47,9 Mb
Release : 2019-10-05
Category : Computers
ISBN : 9783030326869
This volume constitutes the refereed proceedings of the 26th International Symposium on String Processing and Information Retrieval, SPIRE 2019, held in Segovia, Spain, in October 2019. The 28 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 59 submissions. They cover topics such as: data compression; information retrieval; string algorithms; algorithms; computational biology; indexing and compression; and compressed data structures.
Author : S. Muthukrishnan
Publisher : Now Publishers Inc
Page : 136 pages
File Size : 41,7 Mb
Release : 2005
Category : Computers
ISBN : 9781933019147
In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size. In the past few years, a new theory has emerged for reasoning about algorithms that work within these constraints on space, time, and number of passes. Some of the methods rely on metric embeddings, pseudo-random computations, sparse approximation theory and communication complexity. The applications for this scenario include IP network traffic analysis, mining text message streams and processing massive data sets in general. Researchers in Theoretical Computer Science, Databases, IP Networking and Computer Systems are working on the data stream challenges.
Author : Itai Dinur,Shlomi Dolev,Sachin Lodha
Publisher : Springer
Page : 298 pages
File Size : 48,8 Mb
Release : 2018-06-16
Category : Computers
ISBN : 9783319941479
This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in the scope.
Author : Anonim
Publisher : Unknown
Page : 394 pages
File Size : 52,5 Mb
Release : 2005
Category : Computer science
ISBN : UCSC:32106018311560
