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Wireless Sensor Networks ; 5th European Conference, EWSN 2008, Bologna, Italy, January 30-February 1, 2008. Proceedings
This book is organized in topical sections on localization, detection of space/time correlated events, network coding, ZigBee, topology, software, as well as deployment and application development.
Web Intelligence Meets Brain Informatics ; 1st WICI International Workshop, WImBI 2006, Beijing, China, December 15-16, 2006, Revised Selected and Invited Papers
the book include: workshop was the first in the field to focus on the interplay between (a) intelligent technologies, especially in the context of WI and (b) studies on human intelligence as explored in neuroscience, cognitive psychology, and brain science instrumentation.The book, as a volume in the Springer LNCS/LNAI state-of-the-art survey, will be a milestone publication, with research visions and blueprints, for com-puter scientists and practitioners at large in this exciting interdisciplinaryarea.
Web information systems engineering – WISE 2020 ; 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part II
This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
Web Communities : Analysis and Construction
Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.
Visual Data Mining : Theory, Techniques and Tools for Visual Analytics
The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
Trends in artificial intelligence theory and applications : Artificial intelligence practices ; 33rd International conference on industrial, engineering and other applications of applied intelligent systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings
This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020.
Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory : Computational Intelligence and Soft Computing Applications
This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications.
The Semantic Web - ISWC 2008 ; 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008. Proceedings
This book covered in the research track are ontology engineering; data management; software and service engineering; non-standard reasoning with ontologies; semantic retrieval; OWL; ontology alignment; description logics; user interfaces; Web data and knowledge; semantic Web services; semantic social networks; and rules and relatedness. The semantic Web in-use track covers knowledge management; business applications; applications from home to space; and services and infrastructure.
The performance of exchange traded funds (ETFs) : A comparison between dividend and commodity ETFs
Investigates the performance and risk characteristics of exchange-traded funds (ETFs) in the united states from 2017 to 2024, with a particular focus on dividend focused and commodity-focused ETFs. Motivated by the increasing prominence of ETFs as cost-effective, liquid, and diversified investment vehicles, this study examines their behaviour across stable and volatile market conditions, including the COVID-19 pandemic. Overall, this report enhances understanding of ETF dynamics in contemporary financial markets, and offers a foundation for future studies exploring global markets and technological advancements in ETF management.
The Next Wave in Computing, Optimization, and Decision Technologies
The first section contains two papers on network models. The second section focuses in integer and mixed integer programming. The third section contains papers in which heuristic search and metaheuristics are applied. Three papers using stochastic modeling comprise the fourth section. In the fifth section, the unifying theme is software and modeling. The sixth section contains four papers on classification, clustering, and ranking. Each article in the volume has been carefully reviewed and revised accordingly. Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high-caliber research being conducted by members of the INFORMS Computing Society.
The Definitive Guide to Terracotta : Cluster the JVM™ for Spring, Hibernate, and POJO Scalability
Get the definitive guide on all the fundamentals of Terracotta as well as user secrets, recipes, and prepackaged frameworks. Written by Terracotta's chief technology officer Ari Zilka and his team, The Definitive Guide to Terracotta: Cluster the JVM for Spring, Hibernate and POJO Scalability covers the following: High Availability (HA) nth degree scaling and clustering for traditional J2EE and Java EE 5 applications (using Seam or other application) as well as Spring–based enterprise applications. Everyday Terracotta using its prepackaged frameworks and integration recipes, including configuration and customization for your application tuning, no matter the scale. Power user secrets available, including config modules, customized advanced performance tuning, SDLC, Maven, and more
Text mining : Predictive methods for analyzing unstructured information
One consequence of the pervasive use of computers is that most documents originate in digital form. Text mining—the process of searching, retrieving, and analyzing unstructured, natural-language text—is concerned with how to exploit the textual data embedded in these documents. Text Mining presents a comprehensive introduction and overview of the field, integrating related topics (such as artificial intelligence and knowledge discovery and data mining) and providing practical advice on how readers can use text-mining methods to analyze their own data. Emphasizing predictive methods, the book unifies all key areas in text mining: preprocessing, text categorization, information search and retrieval, clustering of documents, and information extraction. In addition, it identifies emerging directions for those looking to do research in the area. Some background in data mining is beneficial, but not essential.
Text Data Mining
Offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview.
Text Analytics : An introduction to the science and applications of unstructured information analysis
A concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery from unstructured information sources, for both industrial and academic purposes. The book introduces the main concepts, models, and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources.
Systems Biology and Computational Proteomics ; Joint RECOMB 2006 Satellite Workshops on Systems Biology, and on Computational Proteomics, San Diego, CA, USA, December 1-3, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of two joint RECOMB 2006 satellite events: the Second Annual Workshop on Systems Biology, RSB 2006, and the First Biennial Workshop on Computational Proteomics, RCP 2006, held in San Diego, CA, USA in December 2006.
Survey of Text Mining II : Clustering, Classification, and Retrieval
Continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.
Structural, Syntactic, and Statistical Pattern Recognition ; Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings
This book constitutes the refereed proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held jointly in Hong Kong, China in August 2006 as a satellite event of the 18th International Conference of Pattern Recognition, ICPR 2006. The 38 revised full papers and 61 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 217 submissions. The papers are organized in topical sections on image analysis, vision, character recognition, bayesian networks, graph-based methods, similarity and feature extraction, image and video, vision, kernel-based methods, recognition and classification, similarity.
Structural, Syntactic, and Statistical Pattern Recognition ; Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings
This book includes : graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.
Statistical Methods for Biostatistics and Related Fields
Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics.
Statistical Implicative Analysis : Theory and Applications
This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
