Mining Heterogeneous Information Networks

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Release : 2022-05-31
Genre : Computers
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Book Rating : 024/5 ( reviews)

Mining Heterogeneous Information Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Heterogeneous Information Networks write by Yizhou Sun. This book was released on 2022-05-31. Mining Heterogeneous Information Networks available in PDF, EPUB and Kindle. Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. Therefore, effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this book, we investigate the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, our semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network. This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies for mining interconnected data, including: (1) rank-based clustering and classification; (2) meta-path-based similarity search and mining; (3) relation strength-aware mining, and many other potential developments. This book introduces this new research frontier and points out some promising research directions. Table of Contents: Introduction / Ranking-Based Clustering / Classification of Heterogeneous Information Networks / Meta-Path-Based Similarity Search / Meta-Path-Based Relationship Prediction / Relation Strength-Aware Clustering with Incomplete Attributes / User-Guided Clustering via Meta-Path Selection / Research Frontiers

Mining Heterogeneous Information Networks

Download Mining Heterogeneous Information Networks PDF Online Free

Author :
Release : 2012
Genre : Computers
Kind :
Book Rating : 806/5 ( reviews)

Mining Heterogeneous Information Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Heterogeneous Information Networks write by Yizhou Sun. This book was released on 2012. Mining Heterogeneous Information Networks available in PDF, EPUB and Kindle. Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.

Heterogeneous Information Network Analysis and Applications

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Release : 2017-05-25
Genre : Computers
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Book Rating : 126/5 ( reviews)

Heterogeneous Information Network Analysis and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Heterogeneous Information Network Analysis and Applications write by Chuan Shi. This book was released on 2017-05-25. Heterogeneous Information Network Analysis and Applications available in PDF, EPUB and Kindle. 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, recommendation. This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data. Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.

Mining Heterogeneous Information Networks

Download Mining Heterogeneous Information Networks PDF Online Free

Author :
Release : 2012
Genre :
Kind :
Book Rating : /5 ( reviews)

Mining Heterogeneous Information Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Heterogeneous Information Networks write by Yizhou Sun. This book was released on 2012. Mining Heterogeneous Information Networks available in PDF, EPUB and Kindle.

Discovery Science

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Release : 2009-10-07
Genre : Computers
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Book Rating : 475/5 ( reviews)

Discovery Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discovery Science write by João Gama. This book was released on 2009-10-07. Discovery Science available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the twelfth International Conference, on Discovery Science, DS 2009, held in Porto, Portugal, in October 2009. The 35 revised full papers presented were carefully selected from 92 papers. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their applications.