Jiawei Han

Michael Aiken Chair Professor

Siebel School of Computing and Data Science
Univ. of Illinois at Urbana-Champaign
Rm 2132, Siebel Center for Computer Science
201 N. Goodwin Avenue
Urbana, IL 61801, USA
E-mail:   hanj[at]illinois.edu

Ph.D. (1985), Computer Science, Univ. Wisconsin-Madison

Data Mining, Text Mining, Intelligent Systems

Data Mining Research Group (DMG Misc Info)
Data and Information Systems Research Laboratory (DAIS)
UIUC Calendar, my.CS, myzoom
Office:   (217) 333-6903
Fax:       (217) 265-6494
Web: hanj.cs.illinois.edu
Calendar Schedule

Selected Research Publications

 

 

 


 Current Research (Selected Publications)

§  Mining and Leveraging Knowledge Hypercubes for Complex Applications (NSF-IIS)

§  NSF AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing: Molecule Maker Lab Institute

§  NSF I-Guide: Institute for Geospatial Understanding through an Integrative Discovery Environment

§  DARPA/INCAS: “Analytics of Information Influence: Effect Characterization”

 Teaching

·         UIUC CS412: An Introduction to Data Warehousing and Data Mining (The course is taught by Ruby Tahboub, Arindam Benerjee, Hanghang Tong)

·         UIUC CS512: Data Mining: Principles and Algorithms (The course is taught by Professor Hanghang Tong)

·         UIUC CS598JH: Text Mining with Large Language Models: 12:30-1:45pm Wednesday/Friday 1035 CIF (Fall 2024)

·         Data Mining Research Group Meeting, Mondays @ Siebel Center (for DMG group member only)

 Books

·         Jiawei Han, Jian Pei, and Hanghang Tong, Data Mining: Concepts and Techniques, 4thedution, Morgan Kaufmann, 2023. (1st ed., 2000) (2nd ed., 2006) (3rd ed., 2012)

·         Jiaming Shen and Jiawei Han, Automated Taxonomy Discovery and Exploration, Springer, 2022 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Chao Zhang and Jiawei Han, Multidimensional Mining of Massive Text Data, Morgan & Claypool Publishers, 2019 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Xiang Ren and Jiawei Han, Mining Structures of Factual Knowledge from Text: An Effort-Light Approach, Morgan & Claypool Publishers, 2018 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Jialu Liu, Jingbo Shang and Jiawei Han,  Phrase Mining from Massive Text and Its Applications, Morgan & Claypool Publishers, 2017 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Chi Wang and Jiawei Han, Mining Latent Entity Structures, Morgan & Claypool Publishers, 2015 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Yizhou Sun and Jiawei Han, Mining Heterogeneous Information Networks: Principles and Methodologies, Morgan & Claypool Publishers, 2012 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Manish Gupta, Jing Gao, Charu Aggawal, and Jiawei Han, Outlier Detection for Temporal Data, Morgan & Claypool Publishers, 2014 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

·         Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar (eds.), Next Generation of Data Mining  (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), Taylor & Francis, 2008.

·         Harvey Miller and Jiawei Han (eds.), Geographical Data Mining and Knowledge Discovery, (2nd ed.), Taylor & Francis, 2009.

·         Philip S. Yu, Jiawei Han, and Christos Faloutsos (eds), Link Mining: Models, Algorithms, and Applications, Springer, 2010.

·         Ashok N. Srivastava and Jiawei Han, Machine Learning and Knowledge Discovery for Engineering Systems Health Management (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), Taylor & Francis, 2011

·         David Lo, Siau-Cheng Khoo, Jiawei Han, and Chao Liu (eds.), Mining Software Specifications: Methodologies and Applications  (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), Taylor & Francis, 2011

  Completed Research Projects

·         OLAPing and Multi-Dimensional Search and Analysis of Text Data (Event Cube: NASA)

·         Pattern Discovery: Classification, Clustering and Outlier Analysis

·         Towards On-Line Analytical Mining of Heterogeneous Information Networks

·         Endowing Biological Databases with Analytical Power: Indexing, Querying, and Mining of Complex Biological Structures

·         Mining Dynamics of Data Streams in Multi-Dimensional Space

·         Knowledge Discovery in Cyberphysical Systems

·         MoveMine: Mining Knowledge from Massive Moving Object Data

·         Conflicts to Harmony: Truth Discovery (NSF/IIS)

·         Information Network Academic Research CenterNetwork Science-Collaborative Technology Alliance

·         NIH BD2K: KnowEng (Knowledge Engine for Genomics) Center: Construction and Mining of Biological Networks

·         Multi-Dimensional Structuring, Summarizing and Mining of Social Media Data (NSF/IIS)

·         StructNet: Constructing and Mining Structure-Rich Information Networks for Scientific Research (NSF/IIS)

·         Taming Big Networks via Embedding (NSF/IIS-BIGDATA)

·         DARPA/KAIROS: “RESIN: Reasoning about Event Schemas for Induction of kNowledge

 Publications (@DBLP) Google Scholar Citations


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