Download or read book Viability and Resilience of Complex Systems written by Guillaume Deffuant and published by Springer. This book was released on 2011-08-03 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: One common characteristics of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view on the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations. Examples discussed include bacterial biofilms resisting detachment, grassland savannahs recovering from fire, the dynamics of language competition and Internet social networking sites overcoming vandalism. The reader is taken through an introduction to the idea of resilience and viability and shown the mathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studies illustrates the use of the techniques in real applications, and the final section describes how one can use new and elaborate software tools for carrying out the necessary calculations. The book is intended for a general scientific audience of readers from the natural and social sciences, yet requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical application of the concepts of resilience and viability
Download or read book Digital Methods written by Richard Rogers and published by MIT Press. This book was released on 2015-08-21 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: A proposal to repurpose Web-native techniques for use in social and cultural scholarly research. In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such “methods of the medium” as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By “thinking along” with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine such topics as the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).
Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Download or read book Socio Technical Networks written by Fei Hu and published by CRC Press. This book was released on 2010-11-17 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there are sporadic journal articles on socio-technical networks, there's long been a need for an integrated resource that addresses concrete socio-technical network (STN) design issues from algorithmic and engineering perspectives. Filling this need, Socio-Technical Networks: Science and Engineering Design provides a complete introduction to
Download or read book Faceted Search written by Daniel Tunkelang and published by Morgan & Claypool Publishers. This book was released on 2009-10-08 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a "memex" that Vannevar Bush proposed in his seminal article, "As We May Think." Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information-seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for e-commerce and site search. In this lecture, we explore the history, theory, and practice of faceted search. Although we cannot hope to be exhaustive, our aim is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth. Table of Contents: I. Key Concepts / Introduction: What Are Facets? / Information Retrieval / Faceted Information Retrieval / II. Research and Practice / Academic Research / Commercial Applications / III. Practical Concerns / Back-End Concerns / Front-End Concerns / Conclusion / Glossary
Download or read book Information Systems for Knowledge Management written by Inès Saad and published by John Wiley & Sons. This book was released on 2014-03-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: More and more organizations are becoming aware of the importance of tacit and explicit knowledge owned by their members which corresponds to their experience and accumulated knowledge about the firm activities. However, considering the large amount of knowledge created and used in the organization, especially with the evolution of information and communications technologies, the firm must first determine the specific knowledge on which it is necessary to focus. Creating activities to enhance identification, preservation, and use of this knowledge is a powerful mean to improve the level of economical performance of the organization. Thus, companies invest on knowledge management programs, in order to develop a knowledge sharing and collaboration culture, to amplify individual and organizational learning, to make easier accessing and transferring knowledge, and to insure knowledge preservation. Several researches can be considered to develop knowledge management programs supported by information and knowledge systems, according to their context, their culture and the stakeholders' viewpoints.
Download or read book Investigating Wikipedia written by Céline Poudat and published by John Benjamins Publishing Company. This book was released on 2024-11-15 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume is intended as a reference book on Wikipedia corpus studies, from corpus construction to exploration and analysis. Wikipedia is a complex object, difficult to manipulate for linguists and corpus researchers. In addition to the encyclopedic articles consulted by millions of users, it contains vast spaces of written discussions, aka talk pages, where Wikipedia authors negotiate the collaborative editing of articles, make evaluations, or discuss related topics. The proposed volume covers Wikipedia articles, their revision histories, and discussions, with a focus on discussions, which have not been studied extensively so far and have also been neglected in previous corpus building efforts. Wikipedia discussions are instances of computer-mediated communication (CMC), thus constituting a completely different, interaction-oriented linguistic genre. Sophisticated tools and methods of linguistic annotation and corpus exploration are needed to exploit the huge and valuable corpus resources that can be constructed from the Wikipedia discussions. The present volume aims at encouraging and facilitating Wikipedia corpus studies, providing standards, recommendations, and innovative methods to build and explore Wikipedia corpora, and presenting corpus studies that make the most of the peculiarities of Wikipedia.
Download or read book Global Wikipedia written by Pnina Fichman and published by Rowman & Littlefield. This book was released on 2014-05-15 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dozens of books about Wikipedia are available, but they all focus on the English Wikipedia and assume an Anglo-Saxon perspective, while disregarding cultural and language variability or multi-cultural collaborative efforts. They address the impact of Wikipedia on society, processes of mass knowledge production, and the dynamics of the Wikipedia community. However, none of them focus on Wikipedia’s global features. This lack of attention presents a serious problem because more than 80% of Wikipedia articles are written in languages other than English---in fact, Wikipedia includes articles in 285 languages. Global Wikipedia: International and Cross-Cultural Issues in Online Collaboration is the first book to address this gap by focusing attention on the global, multilingual, and multicultural aspects of Wikipedia. The editors showcase research on Wikipedia, exploring a wide range of international and cross-cultural issues. Online global collaboration, coordination, and conflict management are examined in this rich socio technical environment. Special emphases include International and cross-cultural collaboration; Intercultural synergy on Wikimedia; Conflict and collaboration in editing international entries; Case studies of Chinese, Finnish, French, and Greek Wikipedias; and, Cross-cultural studies that compare more than one Wikipedia, focusing on content, structures, policies, contributions, interactions, processes, motivations, and challenges.
Download or read book Intelligent Audio Analysis written by Björn W. Schuller and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often today’s results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.
Download or read book Web Information Systems and Technologies written by Karl-Heinz Krempels and published by Springer. This book was released on 2014-07-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the thoroughly refereed and revised best papers from the 9th International Conference on Web Information Systems and Technologies, WEBIST 2013, held in Aachen, Germany, in May 2013, organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and co-organized by the RWTH Aachen University. The 15 papers presented in this book were carefully reviewed and selected from 143 submissions. The papers were selected from those with the best reviews also taking into account the quality of their presentation at the conference. The papers are grouped into parts on Internet technology, Web interfaces and applications, society, e-business and e-government, Web intelligence, and mobile information systems.
Download or read book The Semantic Web and Web Science written by Dongyan Zhao and published by Springer. This book was released on 2014-11-17 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed papers of the 8th Chinese Conference on The Semantic Web and Web Science, CSWS 2014, held in Wuhan, China, in August 2014. The 22 research papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections such as ontology reasoning and learning; semantic data generation and management; and semantic technology and applications.
- Author : Mihaela Colhon
- Publisher : Infinite Study
- Release :
- ISBN :
- Pages : 14 pages
How Objective a Neutral Word Is A Neutrosophic Approach for the Objectivity Degrees of Neutral Words
Download or read book How Objective a Neutral Word Is A Neutrosophic Approach for the Objectivity Degrees of Neutral Words written by Mihaela Colhon and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the latest studies concerning the sentiment polarity of words, the authors mostly consider the positive and negative constructions, without paying too much attention to the neutral words, which can have, in fact, significant sentiment degrees.
Download or read book Learning to Rank for Information Retrieval and Natural Language Processing written by Hang Li and published by Springer Nature. This book was released on 2011-04-20 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting SVM, Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include PRank, OC SVM, Ranking SVM, IR SVM, GBRank, RankNet, LambdaRank, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Introduction / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
Download or read book Extracting Knowledge From Opinion Mining written by Agrawal, Rashmi and published by IGI Global. This book was released on 2018-09-07 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.
Download or read book Cyber Security and Social Media Applications written by Sibel Tarıyan Özyer and published by Springer Nature. This book was released on 2023-07-25 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based prevention of fake news dissemination, and detection of trending topics and influence from social media are investigated. This book helps the reader in developing their own perspective about how to deal with cyber security and how to benefit from the development in technology to tackle cyber security issues. The reader of this book will realize how to use various machine learning techniques for tackling various applications involving social medial analysis.
Download or read book Deep Learning for Data Analytics written by Himansu Das and published by Academic Press. This book was released on 2020-05-29 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis. - Presents the latest advances in Deep Learning for data analytics and biomedical engineering applications. - Discusses Deep Learning techniques as they are being applied in the real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes, performance evaluation, Deep Learning optimization, deep auto-encoders, and deep neural networks - Provides readers with an introduction to Deep Learning, along with coverage of deep belief networks, convolutional neural networks, Restricted Boltzmann Machines, data analytics basics, enterprise data science, predictive analysis, optimization for Deep Learning, and feature selection using Deep Learning
Download or read book User Community Discovery written by Georgios Paliouras and published by Springer. This book was released on 2015-10-28 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book redefines community discovery in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field. Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities. User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.