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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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Locally Consistent Concept Factorization for Document Clustering

TL;DR: A new approach to extract the document concepts which are consistent with the manifold geometry such that each concept corresponds to a connected component is proposed, which is called Locally Consistent Concept Factorization (LCCF).
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Mining significant graph patterns by leap search

TL;DR: The first comprehensive study on general mining method aiming to find most significant patterns directly, and graph classifiers built on mined patterns outperform the up-to-date graph kernel method in terms of efficiency and accuracy, demonstrating the high promise of such patterns.
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A Survey on Truth Discovery

TL;DR: This survey focuses on providing a comprehensive overview of truth discovery methods, and summarizing them from different aspects, and offers some guidelines on how to apply these approaches in application domains.
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A Bayesian approach to discovering truth from conflicting sources for data integration

TL;DR: This work proposes a probabilistic graphical model that can automatically infer true records and source quality without any supervision and is also the first approach designed to merge multi-valued attribute types.
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Geographical topic discovery and comparison

TL;DR: The results confirm the hypothesis that the geographical distributions can help modeling topics, while topics provide important cues to group different geographical regions.