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“sarra ben abbes”

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  • Semantic AI in Knowledge Graphs

    Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning.Securing efficient ... Read more

    $104.99 CAD

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  • Knowledge Graphs

    Fundamentals, Techniques, and Applications

    Series series Adaptive Computation and Machine Learning series
    A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as ... Read more

    $58.39 CAD

  • The Text Mining Handbook

    Advanced Approaches in Analyzing Unstructured Data

    Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of ... Read more

    $99.99 CAD

  • Natural Language Processing for the Semantic Web

    Series series Synthesis Lectures on the Semantic Web: Theory and Technology
    This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. ... Read more

    $67.99 CAD

  • Semantic Computing

    Presents the state of the technology and points to future directions for semantic computingSemantic computing, a rapidly evolving interdisciplinary field, seeks to structure, design, and manipulate computer content to better satisfy the needs and intentions of users and create a more meaningful user experience. This remarkable contributed work examines the art, engineering, technology, and ... Read more

    $185.99 CAD

  • Spoken Language Understanding

    Systems for Extracting Semantic Information from Speech

    Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in ... Read more

    $174.99 CAD

  • Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches

    Edited by David Taniar, Li Chen ...
    Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in our society. The two share many common issues and are commonly interrelated. Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches provides a comprehensive compilation of knowledge ... Read more

    $189.99 CAD

  • Sentiment Analysis in Social Networks

    The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis ... Read more

    $53.59 CAD

  • Natural Language Processing and Information Systems

    20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, held in Passau, Germany, in June 2015.The 18 full papers, 15 short papers, 14 poster and demonstration papers presented were carefully reviewed and selected from 100 submissions. The papers cover the following topics: information extraction, ... Read more

    $64.99 CAD

  • Sentiment Analysis

    Mining Opinions, Sentiments, and Emotions

    by Bing Liu ...
    Series series Studies in Natural Language Processing
    Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the ... Read more

    $91.99 CAD

  • Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications

    The Internet has been acknowledged as a recent technological revolution, due to its significant impact on society as a whole. Nevertheless, precisely due to its impact, limitations of the current Internet are becoming apparent; in particular, its inability to automatically take into account the meaning of online documents. Some proposals for taking meaning into account began to appear, mainly the ... Read more

    $189.99 CAD

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  • Feature Engineering for Machine Learning and Data Analytics

    Edited by Guozhu Dong, Huan Liu ...
    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a ... Read more

    $94.99 CAD