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Financial Cryptography and Data Security

Author : Andrew S. Patrick

Publisher : Springer Science & Business Media

Page : 386 pages

File Size : 46,35 MB

Release : 2005-07-08

Category : Business & Economics

ISBN : 3540266569

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Book Description

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Financial Cryptography and Data Security, FC 2005, held in Roseau, The Commonwealth Of Dominica, in February/March 2005. The 24 revised full papers presented together with the abstracts of one invited talk and 2 panel statements were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on threat and attacks, digital signing methods, privacy, hardware oriented mechanisms, supporting financial transactions, systems, applications, and experiences, message authentication, exchanges and contracts, auctions and voting, and user authentication.



Principles and Practice of Constraint Programming

Author : Gilles Pesant

Publisher : Springer

Page : 765 pages

File Size : 17,32 MB

Release : 2015-08-12

Category : Mathematics

ISBN : 3319232193

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Book Description

This book constitutes the refereed conference proceedings of the 21st International Conference on Principles and Practice of Constraint Programming, CP 2015, held in Cork, Ireland, in August/September 2015. This edition of the conference was part of George Boole 200, a celebration of the life and work of George Boole who was born in 1815 and worked at the University College of Cork. It was also co-located with the 31st International Conference on Logic Programming (ICLP 2015). The 48 revised papers presented together with 3 invited talks and 16 abstract papers were carefully selected from numerous submissions. The scope of CP 2014 includes all aspects of computing with constraints, including theory, algorithms, environments, languages, models, systems, and applications such as decision making, resource allocation, schedulling, configuration, and planning.



Inductive Databases and Constraint-Based Data Mining

Author : Sašo Džeroski

Publisher : Springer Science & Business Media

Page : 458 pages

File Size : 21,68 MB

Release : 2010-11-18

Category : Computers

ISBN : 1441977384

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Book Description

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.



Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

Author : Luping Zhou

Publisher : Springer Nature

Page : 165 pages

File Size : 25,36 MB

Release : 2019-11-20

Category : Computers

ISBN : 3030336425

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Book Description

This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications in medical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.



Energy Efficient Data Communication for Resource Constrained Systems

Author : S. A. Ahsan Rajon

Publisher : S. A. AHSAN RAJON

Page : 86 pages

File Size : 33,9 MB

Release : 2014-04-01

Category : Computers

ISBN : 3659242462

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Book Description

This book reports the M.Sc.Engineeing Research (Thesis) carried out by the author- S. A. AHSAN RAJON and supervised by Prof. Dr. Md. Mahbubur Rahman in Computer Science and Engineering Discipline, Khulna University, Bangladesh. Energy efficient data communication is an elementary concern for ubiquitous computing. This book outlines an enhanced power-aware data communication scheme for wireless sensor networks. An extensive analysis of recent researches on data routing and data compression for wireless sensor network has also been presented in this book. This book mainly focuses on improved scheme for compression based data routing which achieves energy efficiency by employing cluster coordinators for balancing energy consumption by assigning the inter cluster communications to the cluster heads and the intra cluster communications to cluster coordinators along with the use of component ranking scheme and value pair based compression. Comprehensive mathematical models analyzing the multidimensional issues including energy efficiency, quality of service, data routing and data compression has also been incorporated in this book.ÿ ÿ



Machine Learning under Resource Constraints - Fundamentals

Author : Katharina Morik

Publisher : Walter de Gruyter GmbH & Co KG

Page : 542 pages

File Size : 34,78 MB

Release : 2022-12-31

Category : Science

ISBN : 3110786125

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Book Description

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters.





Advanced Error Control Techniques for Data Storage Systems

Author : Erozan M. Kurtas

Publisher : CRC Press

Page : 288 pages

File Size : 43,72 MB

Release : 2018-10-03

Category : Computers

ISBN : 1420036491

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Book Description

With the massive amount of data produced and stored each year, reliable storage and retrieval of information is more crucial than ever. Robust coding and decoding techniques are critical for correcting errors and maintaining data integrity. Comprising chapters thoughtfully selected from the highly popular Coding and Signal Processing for Magnetic Recording Systems, Advanced Error Control Techniques for Data Storage Systems is a finely focused reference to the state-of-the-art error control and modulation techniques used in storage devices. The book begins with an introduction to error control codes, explaining the theory and basic concepts underlying the codes. Building on these concepts, the discussion turns to modulation codes, paying special attention to run-length limited sequences, followed by maximum transition run (MTR) and spectrum shaping codes. It examines the relationship between constrained codes and error control and correction systems from both code-design and architectural perspectives as well as techniques based on convolution codes. With a focus on increasing data density, the book also explores multi-track systems, soft decision decoding, and iteratively decodable codes such as Low-Density Parity-Check (LDPC) Codes, Turbo codes, and Turbo Product Codes. Advanced Error Control Techniques for Data Storage Systems offers a comprehensive collection of theory and techniques that is ideal for specialists working in the field of data storage systems.



Knowledge Processing and Decision Making in Agent-Based Systems

Author : Lakhmi C. Jain

Publisher : Springer

Page : 325 pages

File Size : 17,21 MB

Release : 2008-12-19

Category : Technology & Engineering

ISBN : 3540880496

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Book Description

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems



IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

Author : Joao Gama

Publisher : Springer Nature

Page : 317 pages

File Size : 13,44 MB

Release : 2021-01-09

Category : Computers

ISBN : 3030667707

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Book Description

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.