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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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Book ChapterDOI

Probabilistic Models for Text Mining

Yizhou Sun, +2 more
TL;DR: This chapter provides an overview of a variety of probabilistic models for text mining and focuses more on the fundamental probabilism techniques, and also covers their various applications to different text mining problems.
Journal ArticleDOI

Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.

David A. Liem, +10 more
- 18 May 2018 - 
TL;DR: The present study is the first application of a text-mining algorithm to characterize the relationships of 709 extracellular matrix-related proteins with 6 categories of cardiovascular disease described in 1,099,254 abstracts, and revealed unexpected insights underlying the key ECM-related molecular pathogenesis of each CVD.
Journal Article

Multi-Dimensional, Phrase-Based Summarization in Text Cubes.

Fangbo Tao, +7 more
- 01 Sep 2016 - 
TL;DR: A cube-based analytical platform is developed that implements an efficient solution by materializing a deliberately selected part of statistics, and using these statistics to perform online query processing within a constant latency constraint, and demonstrates the efficiency in both query processing time and storage cost.
Proceedings ArticleDOI

Task-Guided Pair Embedding in Heterogeneous Network

Chanyoung Park, +4 more
TL;DR: TaPeng et al. as mentioned in this paper proposed a task-guided pair embedding framework in heterogeneous network, which directly models the relationship between a pair of nodes that are related to a specific task (e.g., paper-author relationship in author identification).
Proceedings ArticleDOI

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences

Xiang Ren, +12 more
TL;DR: The Life-iNet system is presented, which automatically constructs structured networks of factual knowledge from large amounts of background documents, to support efficient exploration of structured factual knowledge in the unstructured literature.