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  • Automated Taxonomy Discovery and Exploration

    Series series eBColl Synthesis Collection 11
    This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today’s information era, people are inundated with the vast amounts of text data. Despite their ... Leer más

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    Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of ... Leer más

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  • Feature Engineering for Machine Learning and Data Analytics

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    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 ... Leer más

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  • Social Media Processing

    5th National Conference, SMP 2016, Nanchang, China, October 29–30, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the thoroughly refereed proceedings of the 5th National Conference of Social Media Processing, SMP 2016, held in Nanchang, China, in October 2016.The 24 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers address issues such as: mining social media and applications; natural language processing; data mining; information retrieval ... Leer más

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  • Fundamentals of Predictive Text Mining

    Series series Computer Science (R0)
    This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has ... Leer más

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  • Fundamentals of Predictive Text Mining

    Series series Computer Science (R0)
    One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents. Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of ... Leer más

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    Web services and Service-Oriented Computing (SOC) have become thriving areas of academic research, joint university/industry research projects, and novel IT products on the market. SOC is the computing paradigm that uses Web services as building blocks for the engineering of composite, distributed applications out of the reusable application logic encapsulated by Web services. Web services could ... Leer más

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  • Big Data Analytics and Knowledge Discovery

    18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings

    Edición de Sanjay Madria, Takahiro Hara ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and ... Leer más

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  • Database Systems for Advanced Applications

    21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I

    Series Libro 1 - Springer Nature Proceedings Computer Science
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  • Web Technologies and Applications

    APWeb 2015 Workshops, BSD, WDMA, and BDAT, Guangzhou, China, September 18, 2015, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the workshops held at the 17th Asia-Pacific Web Conference, APWeb 2015, in Guangzhou, China, in September 2015.The 15 full papers were carefully reviewed and selected from various submissions. The volume presents the papers that have been accepted for the following workshops: Big Data Applications in Telecoms, BDAT 2015, Big Social Data, BSD 2015, ... Leer más

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  • Heterogeneous Graph Representation Learning and Applications

    Series series Computer Science (R0)
    Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple ... Leer más

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    28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part II

    Series Libro 2 - Springer Nature Proceedings Computer Science
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