H
Haixun Wang
Researcher at Facebook
Publications - 282
Citations - 17635
Haixun Wang is an academic researcher from Facebook. The author has contributed to research in topics: Data stream mining & Semantics. The author has an hindex of 63, co-authored 277 publications receiving 16473 citations. Previous affiliations of Haixun Wang include Microsoft & University of California, Los Angeles.
Papers
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Proceedings ArticleDOI
Mining concept-drifting data streams using ensemble classifiers
TL;DR: This paper proposes a general framework for mining concept-drifting data streams using weighted ensemble classifiers, and shows that the proposed methods have substantial advantage over single-classifier approaches in prediction accuracy, and the ensemble framework is effective for a variety of classification models.
Proceedings ArticleDOI
Probase: a probabilistic taxonomy for text understanding
TL;DR: This paper presents a universal, probabilistic taxonomy that is more comprehensive than any existing ones, and contains 2.7 million concepts harnessed automatically from a corpus of 1.68 billion web pages.
Proceedings ArticleDOI
BLINKS: ranked keyword searches on graphs
TL;DR: BLINKS follows a search strategy with provable performance bounds, while additionally exploiting a bi-level index for pruning and accelerating the search, and offers orders-of-magnitude performance improvement over existing approaches.
Proceedings ArticleDOI
Clustering by pattern similarity in large data sets
TL;DR: This paper introduces an effective algorithm to detect clusters of genes that are essential in revealing significant connections in gene regulatory networks, and performs tests on several real and synthetic data sets to show its effectiveness.
BookDOI
Managing and Mining Graph Data
Charu C. Aggarwal,Haixun Wang +1 more
TL;DR: This is the first comprehensive survey book in the emerging topic of graph data processing and contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy.