Download or read book Proceedings of the Sixth ACM International Conference on Web Search and Data Mining written by Stefano Leonardi and published by . This book was released on 2013 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the Sixth International Scientific Conference Intelligent Information Technologies for Industry IITI 22 written by Sergey Kovalev and published by Springer Nature. This book was released on 2022-10-30 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented in the main track of IITI 2022, the Sixth International Scientific Conference on Intelligent Information Technologies for Industry held on October 31 - November 6, 2022, in Istanbul, Turkey. The works were written by the experts in the field of artificial intelligence including topics such as machine learning, decision making intelligent systems, fuzzy logic, bioinspired systems and Bayesian networks. The following industrial application domains were touched: railway automation, intelligent medical systems, flexible socio-technical systems, navigation systems and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Download or read book Advances in Knowledge Discovery and Data Mining written by Vincent S. Tseng and published by Springer. This book was released on 2014-05-08 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.
Download or read book Healthcare Data Analytics written by Chandan K. Reddy and published by CRC Press. This book was released on 2015-06-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
Download or read book Bit by Bit written by Matthew J. Salganik and published by Princeton University Press. This book was released on 2019-08-06 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.
Download or read book Proceedings of the XVI International symposium Symorg 2018 written by Nevenka Žarkić-Joksimović and published by University of Belgrade, Faculty of Organizational Sciences . This book was released on 2018-06-12 with total page 1161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligence Analysis in the Digital Age written by Stig Stenslie and published by Routledge. This book was released on 2021-08-05 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines intelligence analysis in the digital age and demonstrates how intelligence has entered a new era. While intelligence is an ancient activity, the digital age is a relatively new phenomenon. This volume uses the concept of the "digital age" to highlight the increased change, complexity, and pace of information that is now circulated, as new technology has reduced the time it takes to spread news to almost nothing. These factors mean that decision-makers face an increasingly challenging threat environment, which in turn increases the demand for timely, relevant, and reliable intelligence to support policymaking. In this context, the book demonstrates that intelligence places greater demands on analysis work, as the traditional intelligence cycle is no longer adequate as a process description. In the digital age, it is not enough to accumulate as much information as possible to gain a better understanding of the world. To meet customers’ needs, the intelligence process must be centred around the analysis work – which in turn has increased the demand for analysts. Assessments, not least predictions, are now just as important as revealing someone else’s secrets. This volume will be of much interest to students of intelligence studies, security studies, and international relations.
Download or read book Information Retrieval written by Pavel Braslavski and published by Springer. This book was released on 2016-07-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 9th Russian Summer School on Information Retrieval, RuSSIR 2015, held in Saint Petersburg, Russia, in August 2015. The volume includes 5 tutorial papers, summarizing lectures given at the event, and 6 revised papers from the school participants. The papers focus on various aspects of information retrieval.
Download or read book Trends in Social Network Analysis written by Rokia Missaoui and published by Springer. This book was released on 2017-04-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.
Download or read book Principles of Social Networking written by Anupam Biswas and published by Springer Nature. This book was released on 2021-08-18 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.
Download or read book The Performance Complex written by David Stark and published by Oxford University Press. This book was released on 2020-07-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What's valuable? Market competition provides one kind of answer. Competitions offer another. On one side, competition is an ongoing and seemingly endless process of pricings; on the other, competitions are discrete and bounded in time and location, with entry rules, judges, scores, and prizes. This book examines what happens when ever more activities in domains of everyday life are evaluated and experienced in terms of performance metrics. Unlike organized competitions, such systems are ceaseless and without formal entry. Instead of producing resolutions, their scorings create addictions. To understand these developments, this book explores discrete contests (architectural competitions, international music competitions, and world press photo competitions); shows how the continuous updating of rankings is both a device for navigating the social world and an engine of anxiety; and examines the production of such anxiety in settings ranging from the pedagogy of performance in business schools to struggling musicians coping with new performance metrics in online platforms. In the performance society, networks of observation - in which all are performing and keeping score - are entangled with a system of emotionally charged preoccupations with one's positioning within the rankings. From the bedroom to the boardroom, pharmaceutical companies and management consultants promise enhanced performance. This assemblage of metrics, networks, and their attendant emotional pathologies is herein regarded as the performance complex.
Download or read book Collaborative Recommendations Algorithms Practical Challenges And Applications written by Shlomo Berkovsky and published by World Scientific. This book was released on 2018-11-30 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.
Download or read book An Introduction to Transfer Entropy written by Terry Bossomaier and published by Springer. This book was released on 2016-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
Download or read book Semantic Web and Web Science written by Juanzi Li and published by Springer Science & Business Media. This book was released on 2013-06-13 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.
Download or read book Natural Language Processing for Social Media Third Edition written by Anna Atefeh Farzindar and published by Springer Nature. This book was released on 2022-05-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Download or read book Engineering Applications of Neural Networks written by Lazaros S. Iliadis and published by Springer. This book was released on 2013-09-25 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.
Download or read book Big Data Analytics written by and published by Elsevier. This book was released on 2015-08-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by "Big Data" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions. - Review of big data research challenges from diverse areas of scientific endeavor - Rich perspective on a range of data science issues from leading researchers - Insight into the mathematical and statistical theory underlying the computational methods used to address big data analytics problems in a variety of domains
