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Data analytics, computational statistics, and operations research for engineers : Methodologies and applications
Presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.
Data Analysis, Machine Learning and Applications ; Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007
This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl).
Data Algorithms with Spark
Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns
Current aopics in artificial intelligence ; 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November 12-16, 2007, Selected Papers
The book presented address all current issues of artificial intelligence ranging from methodological and foundational aspects to advanced applications in various fields.
Current aopics in artificial intelligence ; 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers
This book constitutes the thoroughly refered post-proceedings of the 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, held in Santiago de Compostela, Spain in November 2005.
Creating New Learning Experiences on a Global Scale ; 2nd European Conference on Technology Enhanced Learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, Proceedings
It is holding more than 500 pages of combined wisdom on Technology Enhanced Learning (TEL) in your hands! With the advance of metadata, standards, learning objects, Web 2. 0 approaches to rip, mix and burn learning, wikis, blogs, syndication, user-generated content, W- based video, games and the ubiquitous availability of computing devices we can and have to offer more flexible learning services on a global scale.It provided a unique forum for all research related to technology enhanced learning, including its interactions with knowledge management, business processes and work environments.
Cooperative Information Agents XII ; 12th International Workshop, CIA 2008, Prague, Czech Republic, September 10-12, 2008. Proceedings
This book constitutes the refereed proceedings of the 12th International Workshop on Cooperative Information Agents, CIA 2008, held in Prague, Czech Republik, in September 2008.
Cooperative Design, Visualization, and Engineering ; Vol. 4101 ; 3rd International Conference, CDVE 2006, Mallorca, Spain, September 17-20, 2006, Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2006, held in Mallorca, Spain in September 2006.
Cooperative design, visualization, and engineering ; Vol. 3675 : 2nd international conference, CDVE 2005, Palma de Mallorca, Spain, September 18-21, 2005, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2005, held in Palma de Mallorca, Spain, in September 2005. The 28 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers cover all current issues in cooperative design, visualization, engineering, and other cooperative applications. Topics addressed are such as constraint maintenance, decision support, and security enforcement for CDVE. Case studies and application specific developments are among the cooperative visualization papers. Along the line of cooperative engineering, knowledge management, reconfigurability, and concurrency control are major issues addressed.
Control Theory Tutorial : Basic Concepts Illustrated by Software Examples
Introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control.
Contemporary Empirical Methods in Software Engineering
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research.
Constraint-Based Mining and Inductive Databases ; European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers
The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery.
Conditionals, Information, and Inference
Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false — rather, a conditional “if A then B” provides a context, A, for B to be plausible (or true) and must not be confused with “A entails B” or with the material implication “not A or B.” This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle“generalizedrules.”Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.
Concurrent Zero-Knowledge : With Additional Background by Oded Goldreich
Zero-knowledge proofs are fascinating and extremely useful constructs. Their fascinating nature is due to their seemingly contradictory de?nition; ze- knowledge proofs are convincing and yet yield nothing beyond the validity of the assertion being proved. Their applicability in the domain of cryptography is vast; they are typically used to force malicious parties to behave according to a predetermined protocol. In addition to their direct applicability in cr- tography, zero-knowledge proofs serve as a good benchmark for the study of variousproblemsregardingcryptographicprotocols(e.g.,“securecomposition of protocols”).
Concurrency, Graphs and Models : Essays Dedicated to Ugo Montanari on the Occasion of His 65th Birthday
The volume consists of seven sections, six of which are dedicated to the main research areas to which Ugo Montanari has contributed: Graph Transformation; Constraint and Logic Programming; Software Engineering; Concurrency; Models of Computation; and Software Verification.
Conceptual Structures: Knowledge Architectures for Smart Applications ; 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, July 22-27, 2007, Proceedings
Conceptual structures focus on the representation and analysis of concepts, events, actions and objects with applications in - search,softwareengineering,manufacturing and business.The book covers computer science, information technology,artificial int- ligence, philosophy and a variety of applied disciplines to explore novel ways that information technologies can be leveraged to assist human reasoning and interaction for tangible business or social benefits. Conceptual structures can be used to augment human intelligence by facilitating knowledge integration, desion making, the creation of intelligent software systems and the exploration of implicit structures.
Conceptual Structures : Knowledge Visualization and Reasoning; 16th International Conference on Conceptual Structures, ICCS 2008 Toulouse, France, July 7-11, 2008 Proceedings
This book constitutes the refereed proceedings of the 16th International Conference on Conceptual Structures, ICCS 2008, held in Toulouse, France, in July 2008.
Conceptual Structures : Inspiration and Application ; 14th International Conference on Conceptual Structures, ICCS 2006, Aalborg, Denmark, July 16-21, 2006, Proceedings
th The 14 International Conference on Conceptual Structures (ICCS 2006) was held in Aalborg, Denmark during July 16 – 21, 2006. Responding to the Call for Papers, we received 62 papers from 20 different countries, representing six different continents. This clearly indicates the international nature of the ICCS community as well as the widespread interest which was spawned by the previous conferences.
Conceptual Modelling in Information Systems Engineering
Conceptual modeling has always been one of the cornerstones for information systems engineering as it describes the general knowledge of the system in the so-called conceptual schema.It contiant data modeling, goal-oriented modeling, agent-oriented modeling, and process-oriented modeling. Overall, the contributions reflect the most important developments and application areas of conceptual modeling in recent years, and they also pinpoint trends in conceptual modeling for the next decade.
Conceptual Modeling of Information Systems
When designing an information system, conceptual modeling is the activity that elicits and describes the general knowledge the system needs to know. This description, called the conceptual schema, is necessary in order to develop an information system.textbook explains in detail the principles of conceptual modeling independently from particular methods and languages and shows how to apply them in real-world projects. It covers all aspects of the engineering process from structural modeling over behavioral modeling to meta-modeling, and completes the presentation with an extensive case study based on the osCommerce system, an online store-management software program freely available under the GNU General Public License. His presentation is based on well-known industry standards like UML and OCL as a particular conceptual modeling language, yet also delivers the basics of the formal logical language background.
