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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.

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Closed constrained gradient mining in retail databases

TL;DR: A tailored version of CLOSET+, LCLOSET, is first briefly introduced, and a newly proposed weaker but antimonotone measure, top-X average measure, is proposed and can be adopted to prune search space effectively.
Proceedings ArticleDOI

Collective topic modeling for heterogeneous networks

TL;DR: Experimental results demonstrate the effectiveness of the joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network for the tasks of topic modeling and object clustering.
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Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach

TL;DR: This paper proposes a novel model of atypical cluster to effectively represent such events and efficiently retrieve them from massive data and shows that the proposed method can provide more accurate information with only 15% to 20% time cost of the baselines.
Proceedings ArticleDOI

ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases

TL;DR: ClaimVerif is a claim verification system that not only provides credibility assessment for any user-given query claim, but also rationales the assessment results with supporting evidences, and degrades the score of stances from untrustworthy sources and alleviates the negative effects from rumor spreaders.
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MiTexCube: MicroTextCluster Cube for online analysis of text cells and its applications

TL;DR: In this article, a new infrastructure called MicroTextCluster Cube or MiTexCube is proposed to support efficient online text analysis on multidimensional text databases by introducing micro-clusters of text documents as a compact representation of text content.