• Computers

Advances in Intelligent Data Analysis XII

12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings
Author: Allan Tucker,Frank Höppner,Arno Siebes,Stephen Swift
Publisher: Springer
ISBN: 3642413986
Category: Computers
Page: 464
View: 8803
This book constitutes the refereed conference proceedings of the 12th International Conference on Intelligent Data Analysis, which was held in October 2013 in London, UK. The 36 revised full papers together with 3 invited papers were carefully reviewed and selected from 84 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

    • Technology & Engineering

Contracts for System Design

Author: Albert Benveniste,Benoit Caillaud,Dejan Nickovic,Roberto Passerone,Jean-Baptiste Raclet,Philipp Reinkemeier,Alberto Sangiovanni-Vincentelli,Werner Damm,Thomas A. Henzinger,Kim G. Larsen
Publisher: N.A
ISBN: 9781680834024
Category: Technology & Engineering
Page: 296
View: 9074
Contracts for System Design provides unified treatment of the topic that can help put contract-based design in perspective. Contracts are precisely defined and characterized so that they can be used in design methodologies with no ambiguity.

    • Computers

Guide to Intelligent Data Analysis

How to Intelligently Make Sense of Real Data
Author: Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn
Publisher: Springer Science & Business Media
ISBN: 184882260X
Category: Computers
Page: 394
View: 1018
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

    • Computers

Local Pattern Detection

International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers
Author: Katharina Morik,Jean-Francois Boulicaut,Arno Siebes
Publisher: Springer Science & Business Media
ISBN: 3540265430
Category: Computers
Page: 231
View: 5875
This collection of 13 selected papers originates from the International Seminar on Local Pattern Detection, held in Dagstuhl Castle, Germany in April 2004. This state-of-the-art survey on the emerging field Local Pattern Detection addresses four main topics. Three papers cover frequent set mining, four cover subgroup discovery, three cover the statistical view, and three papers are devoted to time phenomena.

    • Computers

Android Malware

Author: Xuxian Jiang,Yajin Zhou
Publisher: Springer Science & Business Media
ISBN: 1461473942
Category: Computers
Page: 44
View: 6379
Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns. Android Malware presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform. Covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques.

    • Computers

Bisociative Knowledge Discovery

An Introduction to Concept, Algorithms, Tools, and Applications
Author: Michael R. Berthold
Publisher: Springer
ISBN: 3642318304
Category: Computers
Page: 486
View: 4266
Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied to originates from one domain. The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of finding well defined global or local patterns they wanted to find domain bridging associations which are, by definition, not well defined since they will be especially interesting if they are sparse and have not been encountered before. The 32 contributions presented in this state-of-the-art volume together with a detailed introduction to the book are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.

    • Medical

Advances in Chronic Lymphocytic Leukemia

Author: Aaron Polliack
Publisher: Taylor & Francis
ISBN: 9783718652136
Category: Medical
Page: 187
View: 6029
This issue brings together a collection of over 30 outstanding contributions presented, covering the biology, clinical aspects and therapy of chronic lymphocytic leukemia.

    • Computers

Computational Intelligence in Healthcare 4

Advanced Methodologies
Author: Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Publisher: Springer
ISBN: 3642144640
Category: Computers
Page: 464
View: 7374
Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

    • Computers

Formal Concept Analysis

Mathematical Foundations
Author: Bernhard Ganter,Rudolf Wille
Publisher: Springer Science & Business Media
ISBN: 3642598307
Category: Computers
Page: 284
View: 3747
This first textbook on formal concept analysis gives a systematic presentation of the mathematical foundations and their relations to applications in computer science, especially in data analysis and knowledge processing. Above all, it presents graphical methods for representing conceptual systems that have proved themselves in communicating knowledge. The mathematical foundations are treated thoroughly and are illuminated by means of numerous examples, making the basic theory readily accessible in compact form.

    • Computers

Data Mining Methods for Knowledge Discovery

Author: Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski
Publisher: Springer Science & Business Media
ISBN: 1461555892
Category: Computers
Page: 495
View: 9971
Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

    • Technology & Engineering

Distributed Model Predictive Control Made Easy

Author: José M. Maestre,Rudy R. Negenborn
Publisher: Springer Science & Business Media
ISBN: 9400770065
Category: Technology & Engineering
Page: 600
View: 4746
The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.

    • Technology & Engineering

Nonlinear Stochastic Systems with Incomplete Information

Filtering and Control
Author: Bo Shen,Zidong Wang,Huisheng Shu
Publisher: Springer Science & Business Media
ISBN: 1447149149
Category: Technology & Engineering
Page: 248
View: 6193
Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling. Divided into three parts, the text begins with a focus on H∞ filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are considered in the second part, and in the third the theory and techniques previously developed are applied to the solution of issues arising in complex networks with the design of sampled-data-based controllers and filters. Among its highlights, the text provides: • a unified framework for filtering and control problems in complex communication networks with limited bandwidth; • new concepts such as random sensor and signal saturations for more realistic modeling; and • demonstration of the use of techniques such as the Hamilton–Jacobi–Isaacs, difference linear matrix, and parameter-dependent matrix inequalities and sums of squares to handle the computational challenges inherent in these systems. The collection of recent research results presented in Nonlinear Stochastic Processes will be of interest to academic researchers in control and signal processing. Graduate students working with communication networks with lossy information and control of stochastic systems will also benefit from reading the book.

    • Technology & Engineering

Combustion Engine Diagnosis

Model-based Condition Monitoring of Gasoline and Diesel Engines and their Components
Author: Rolf Isermann
Publisher: Springer
ISBN: 3662494671
Category: Technology & Engineering
Page: 303
View: 5491
This book offers first a short introduction to advanced supervision, fault detection and diagnosis methods. It then describes model-based methods of fault detection and diagnosis for the main components of gasoline and diesel engines, such as the intake system, fuel supply, fuel injection, combustion process, turbocharger, exhaust system and exhaust gas aftertreatment. Additionally, model-based fault diagnosis of electrical motors, electric, pneumatic and hydraulic actuators and fault-tolerant systems is treated. In general series production sensors are used. It includes abundant experimental results showing the detection and diagnosis quality of implemented faults. Written for automotive engineers in practice, it is also of interest to graduate students of mechanical and electrical engineering and computer science.

    • Mathematics

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities

Author: Guoliang Wei,Zidong Wang,Wei Qian
Publisher: CRC Press
ISBN: 1315350661
Category: Mathematics
Page: 250
View: 3330
Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for stochastic systems with traditional and emerging engineering-oriented complexities. The book begins with an overview of the relevant background, motivation, and research problems, and then: Discusses the robust stability and stabilization problems for a class of stochastic time-delay interval systems with nonlinear disturbances Investigates the robust stabilization and H? control problems for a class of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances Explores the H? state estimator and H? output feedback controller design issues for stochastic time-delay systems with nonlinear disturbances, sensor nonlinearities, and Markovian jumping parameters Analyzes the H? performance for a general class of nonlinear stochastic systems with time delays, where the addressed systems are described by general stochastic functional differential equations Studies the filtering problem for a class of discrete-time stochastic nonlinear time-delay systems with missing measurement and stochastic disturbances Uses gain-scheduling techniques to tackle the probability-dependent control and filtering problems for time-varying nonlinear systems with incomplete information Evaluates the filtering problem for a class of discrete-time stochastic nonlinear networked control systems with multiple random communication delays and random packet losses Examines the filtering problem for a class of nonlinear genetic regulatory networks with state-dependent stochastic disturbances and state delays Considers the H? state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays Addresses the H? synchronization control problem for a class of dynamical networks with randomly varying nonlinearities Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities describes novel methodologies that can be applied extensively in lab simulations, field experiments, and real-world engineering practices. Thus, this text provides a valuable reference for researchers and professionals in the signal processing and control engineering communities.

    • Mathematics

Variance-Constrained Multi-Objective Stochastic Control and Filtering

Author: Lifeng Ma,Zidong Wang,Yuming Bo
Publisher: John Wiley & Sons
ISBN: 1118929462
Category: Mathematics
Page: 320
View: 9324
Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance Includes case studies of several nonlinear stochastic systems Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations Considers both time-invariant systems and time-varying systems Exploits newly developed techniques to handle the emerging mathematical and computational challenges

    • Technology & Engineering

Nonlinear Stochastic Systems with Network-Induced Phenomena

Recursive Filtering and Sliding-Mode Design
Author: Jun Hu,Zidong Wang,Huijun Gao
Publisher: Springer
ISBN: 3319087118
Category: Technology & Engineering
Page: 223
View: 9104
This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: · the state-of-the-art of nonlinear filtering and control; · recent advances in recursive filtering and sliding mode control; and · their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

    • Library administration

National Conference on Management of Modern Libraries (NACML)

Author: K. Shivananda Bhat,Mahabaleshwara Rao,Rekha D. Pai
Publisher: Allied Publishers
ISBN: 8184248695
Category: Library administration
Page: 372
View: 6879
With the advent of the information and communication technologies, traditional library activities are undergoing transformation in a big way. Modern library’s collection includes a vast array of information resources, databases, electronic journals, e-books, digital images, institutional repositories etc. To manage a modern library, library professionals need to have awareness and knowledge on management of electronic resources, federated and discovered tools for single click search, literature techniques, application of RFID and other technologies, user needs and knowledge on soft skills etc. Keeping these perspectives and issues in mind the National Conference on Management of Modern Libraries (NACML) was organized by SEARCH- The health science library in association with the department of Library and Information Science, Manipal University, Manipal The main objective of the conference was to provide an opportunity to LIS professional to explore the ways and means to manage the modern libraries where electronic resources are playing an important role in meeting the information needs of the users and to explore, discuss and share ideas and knowledge related to innovative modern library management systems to meet the needs of the changing environment. In five technical sessions under five different categories titled Technologies for Management, Best Practice in Modern Libraries, digital libraries and Role of Library Professionals in Management of Modern Libraries held over the two days, total 51 papers were presented at the conference. Various challenges and issues related to management of modern libraries were discussed in the technical sessions and some of the authors shared the best practices of their libraries. The author highlighted the importance of digital libraries and stressed the needs of various skills to work in digital environment. The papers presented in the conference have been edited and brought out in the form of a conference proceedings.

    • Computers

Inductive Databases and Constraint-Based Data Mining

Author: Sašo Džeroski,Bart Goethals,Panče Panov
Publisher: Springer Science & Business Media
ISBN: 9781441977380
Category: Computers
Page: 456
View: 4419
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.

    • Technology & Engineering

Finite Frequency Analysis and Synthesis for Singularly Perturbed Systems

Author: Chenxiao Cai,Zidong Wang,Jing Xu,Yun Zou
Publisher: Springer
ISBN: 3319454056
Category: Technology & Engineering
Page: 227
View: 1535
This book is a self-contained collection of recent research findings providing a comprehensive and systematic unified framework for both analysis and synthesis for singularly perturbed systems. It paves the way for the gap between frequency-domain-transfer-function-based results and time-domain-state-space-based results to be bridged. It is divided into three parts focusing on: fundamental background of singular perturbation; general singular perturbation methodologies and time-scale techniques and the theoretical foundation of finite-frequency control; the analysis and synthesis of singularly perturbed systems; and real-world engineering applications implementing the results developed in systems like wind turbines and autonomous-aerial-vehicle hovering. It also presents solutions to analysis and design problems in terms of linear matrix inequalities. Lastly, it provides valuable reference material for researchers who wish to explore the design of controllers for such systems.

    • Technology & Engineering

Filtering and Control for Classes of Two-Dimensional Systems

Author: Ligang Wu,Zidong Wang
Publisher: Springer
ISBN: 3319136984
Category: Technology & Engineering
Page: 336
View: 436
This book focuses on filtering, control and model-reduction problems for two-dimensional (2-D) systems with imperfect information. The time-delayed 2-D systems covered have system parameters subject to uncertain, stochastic and parameter-varying changes. After an initial introduction of 2-D systems and the ideas of linear repetitive processes, the text is divided into two parts detailing: · General theory and methods of analysis and optimal synthesis for 2-D systems; and · Application of the general theory to the particular case of differential/discrete linear repetitive processes. The methods developed provide a framework for stability and performance analysis, optimal and robust controller and filter design and model approximation for the systems considered. Solutions to the design problems are couched in terms of linear matrix inequalities. For readers interested in the state of the art in linear filtering, control and model reduction, Filtering and Control for Classes of Two-Dimensional Systems will be a useful reference for exploring the field of 2-D systems either from a purely theoretical research perspective or from the point of view of a multitude of potential applications including image processing, and the study of seismographic data or thermal processes.