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New Book: Mining Latent Entity Structures


This collection investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains.



Morgan and Claypool Lectures on Data Mining and Knowledge Discovery Mining Latent Entity Structures
Chi Wang, Microsoft Research
Jiawei Han, University of Illinois at Urbana-Champaign

Paperback ISBN: 9781627056601, $60.00
eBook ISBN: 9781627056618
March 2015, 159 pages

dx.doi.org/10.2200/S00625ED1V01Y201502DMK010

Abstract:

The "big data" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media, and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured, interconnected data. Mining latent structures around entities uncovers hidden knowledge such as implicit topics, phrases, entity roles and relationships.

In this monograph, we investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains.

This leads to a series of new principles and powerful methodologies for mining latent structures, including
(1) latent topical hierarchy,
(2) quality topical phrases,
(3) entity roles in hierarchical topical communities, and
(4) entity relations.

This book also introduces applications enabled by the mined structures and points out some promising research directions.

Table of Contents:
  • Acknowledgments
  • Introduction
  • Hierarchical Topic and Community Discovery
  • Topical Phrase Mining
  • Entity Topical Role Analysis
  • Mining Entity Relations
  • Scalable and Robust Topic Discovery
  • Application and Research Frontier
  • Bibliography
  • Authors' Biographies

 
Visit this book abstract page on Morgan Claypool website.