๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Mining Heterogeneous Information Networks. Principles and Methodologies

โœ Scribed by Yizhou Sun, Jiawei Han


Publisher
Morgan & Claypool
Year
2012
Tongue
English
Leaves
145
Series
Synthesis Lectures on Data Mining and Knowledge Discovery
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Heterogeneous Information Network Analys
โœ Chuan Shi, Philip S. Yu (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p>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 heter

Cohesive Subgraph Search Over Large Hete
โœ Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

<p><span>This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years.

Biomedical Data Mining for Information R
โœ Subhendu Kumar Pani (editor), Sujata Dash (editor), S. Balamurugan (editor), Aji ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Wiley-Scrivener ๐ŸŒ English

<p>This book comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care and brings tremendous op

Knowledge Discovery and Data Mining: The
โœ Oded Maimon, Mark Last (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Springer US ๐ŸŒ English

<p>This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the over