J
Jiawei Han
Researcher at University of Illinois at Urbana–Champaign
Publications - 1302
Citations - 155054
Jiawei Han is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Cluster analysis & Knowledge extraction. The author has an hindex of 168, co-authored 1233 publications receiving 143427 citations. Previous affiliations of Jiawei Han include Georgia Institute of Technology & United States Army Research Laboratory.
Papers
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Proceedings Article
Locality sensitive discriminant analysis
TL;DR: A novel linear algorithm for discriminant analysis, called Locality Sensitive Discriminant Analysis (LSDA), which finds a projection which maximizes the margin between data points from different classes at each local area by discovering the local manifold structure.
Proceedings Article
Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
TL;DR: A novel graph-based summarization framework (Opinosis) that generates concise abstractive summaries of highly redundant opinions that have better agreement with human summaries compared to the baseline extractive method.
Book
Mining Heterogeneous Information Networks: Principles and Methodologies
Yizhou Sun,Jiawei Han +1 more
TL;DR: 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.
Proceedings ArticleDOI
A fast distributed algorithm for mining association rules
TL;DR: In this article, a fast distributed mining of association rules (FDM) algorithm is proposed to generate a small number of candidate sets and substantially reduce the number of messages to be passed at mining association rules.