LIBROS DEL AUTOR: philip s yu

10 resultados para LIBROS DEL AUTOR: philip s yu

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  • Heterogeneous Graph Representation Learning and Applications
    Chuan Shi / Philip S. Yu / Xiao Wang
    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 consist...
    Disponible

    210,20 €

  • Heterogeneous Graph Representation Learning and Applications
    Chuan Shi / Philip S. Yu / Xiao Wang
    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 consist...
    Disponible

    208,85 €

  • Broad Learning Through Fusions
    Jiawei Zhang / Philip S. Yu
    This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online s...
    Disponible

    83,62 €

  • Relational Data Clustering
    Bo Long / Philip S. Yu / Zhongfei Zhang
    A culmination of the authors’ years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering p...
    Disponible

    118,05 €

  • Broad Learning Through Fusions
    Jiawei Zhang / Philip S. Yu
    This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online s...
    Disponible

    84,15 €

  • Heterogeneous Information Network Analysis and Applications
    Chuan Shi / Philip S. Yu
    This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommenda...
    Disponible

    197,58 €

  • Heterogeneous Information Network Analysis and Applications
    Chuan Shi / Philip S. Yu / Philip SYu
    This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommenda...
    Disponible

    196,22 €

  • Domain Driven Data Mining
    Chengqi Zhang / Longbing Cao / Philip S. Yu
    Challenges and Trends.- Methodology.- Ubiquitous Intelligence.- Knowledge Actionability.- AKD Frameworks.- Combined Mining.- Agent-Driven Data Mining.- Post Mining.- Mining Actionable Knowledge on Capital Market Data.- Mining Actionable Knowledge on Social Security Data.- Open Issues and Prospects.- Reading Materials. ...
    Disponible

    134,04 €

  • Relational Data Clustering
    Bo Long / Philip S. Yu / Zhongfei Zhang
    A culmination of the authors’ years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering p...
    Disponible

    187,05 €

  • Domain Driven Data Mining
    Chengqi Zhang / Longbing Cao / Philip S. Yu
    Challenges and Trends.- Methodology.- Ubiquitous Intelligence.- Knowledge Actionability.- AKD Frameworks.- Combined Mining.- Agent-Driven Data Mining.- Post Mining.- Mining Actionable Knowledge on Capital Market Data.- Mining Actionable Knowledge on Social Security Data.- Open Issues and Prospects.- Reading Materials. ...
    Disponible

    132,68 €