Danny Ocean - Me Rehuso | Pauline Burlet | Añadir esta pelicula a mis objetos web

Mining Heterogeneous Information Networks: Principles and Methodologies

Mining Heterogeneous Information Networks: Principles and Methodologies

2012 | ISBN-10: 1608458806 | 160 Pages | PDF | 2 MB

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

Download:

http://longfiles.com/ob4u4ottpw38/Mining_Heterogeneous_Information_Networks_Principles_and_Methodologies.pdf.html

[Fast Download] Mining Heterogeneous Information Networks: Principles and Methodologies


Ebooks related to "Mining Heterogeneous Information Networks: Principles and Methodologies" :
Probabilistic Approaches to Recommendations
Information Retrieval Evaluation
Handbook of Data Intensive Computing
Expert SQL Server In-Memory OLTP, Second Edition
TensorFlow Machine Learning Cookbook
SQL For Microsoft Access
MYSQL Administrator's Guide by MySQL AB
Data Management: Databases and Organizations
Mastering Elastic Stack
MCITP SQL Server 2005 Database Developer All-in-One Exam Guide by Darril Gibson
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.