Hi, this is Ruoming Jin's homepage!
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I am an assistant
professor in the Computer Science Department, Kent State University. My research focuses on Data
Mining, Databases, Complex Network Analysis, BioMedical informatics, and High
Performance Computing.
Master thesis topics in Data Mining are available. Please email me if you are interested in doing a research course. |
Ruoming Jin, Yang
Xiang, and Lin Liu,
Cartesian Contour: A
Concise Representation for a Collection of Frequent Sets, in KDD’09
(PPT,
Code).
Xiaoxi Du, Ruoming
Jin, Liang Ding, Victor Lee, and John Thornton, Migration Motif: A spatial-temporal pattern mining approach for
financial market, in KDD’09.
Xingquan Zhu and
Ruoming Jin,
Multiple Information Sources
Cooperative Learning, in IJCAI’09.
Ruoming Jin, Yang
Xiang, Ning Ruan, and Dave Fuhry,
3-HOP:
A High-Compression Indexing Scheme for Reachability Query, in SIGMOD’09 (PPT,
Code and Datasets).
Ruoming Jin, Yang Xiang, Dave Fuhry, and Feodor Dragan, Overlapping Matrix Pattern Visualization: a Hypergraph Approach, in ICDM’08 (PPT,Code and Datasets).
Ruoming Jin, Yang Xiang, Ning Ruan,
and Haixun Wang,
Efficiently
Answering Reachability Query in Very Large Directed Graphs, in SIGMOD'08 (PPT,Code
and Datasets).
Ruoming Jin, Muad Abu-Ata, Yang Xiang, and Ning Ruan,
Effective and efficient itemset pattern summarization:
regression-based approaches, in KDD'08 (PPT).
Yang Xiang, Ruoming Jin, Dave
Fuhry, and Feodor F. Dragan,
Succinct
summarization of transactional databases: an overlapped hyperrrectangle scheme,
in KDD'08 (PPT, Code
and Datasets).
Ruoming Jin, Yuri Breitbart, and Chibuike Muoh, Data Discretization Unification, in ICDM'07 (PPT)
Mining Complex Networks and Graph Mining
Mining Multiple Information Sources
Biomedical Informatics
Theoretical Foundations for Data Mining
Graph Databases
Scalable Data Mining
I am looking for highly motivated and dedicated Ph.D. and
M.S. students to work with me.
All students are expected to be self-motivated,
hard-working, and creative team-players who are dedicated to quality research
and willing to publish in leading data mining, databases, and bioinformatics
conferences and journals. Preferences will be given to students who have excellent
programming skills, and/or good mathematics/statistics background. If you have
biology or bioinformatics background, that will be a big plus. Interested
students are encouraged to directly contact me (via email) to pursuit this
further.
· Richard Hamming, You and Your
Research.
· Edsger Dijkstra, The Three Golden
Rules for Successful Scientific Research.
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Office: |
MCS 264, |
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Tel: |
(330)672-9063 |
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Email: |
my last name at cs dot kent dot edu |