Ruoming Jin’s Publications (2005-Present)
2009
- Ruoming Jin, Yang Xiang, and Lin Liu, Cartesian Contour:
A Concise Representation for a Collection of Frequent Sets, to appear in
KDD'09.
- Xiaoxi Du, Ruoming Jin, Ling Ding, Victor Lee,
and John Thornton, Migration Motif: A spatial-temporal pattern mining
approach for financial market, to appear in KDD'09.
-
Xingquan Zhu and Ruoming Jin, Multiple Information Sources Cooperative
Learning, to appear in IJCAI'09.
- Ruoming Jin, Yang Xiang,
Ning Ruan, and Dave Fuhry, 3-HOP: A High-Compression Indexing Scheme for
Reachability Query, to appear in SIGMOD'09.
- Identify Dynamic Network Modules with Temporal and
Spatial Constraints, Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang,
Eivind Almaas, and Xianghong Jasmine Zhou, in the Proceedings of Pacific
Symposium on Biocomputing (PSB’09).
- A Study on Frequent Co-Expression Networks in Cancers
(abstract),
Yang Xiang, Jie Zhang, Ruoming Jin,and Kun Huang, accepted for oral
presentation in the AMIA Summit on Translational Bioinformatics, 2009.
-
Estimating the Number of Frequent Itemsets in a Large
Database, Ruoming Jin, Scott Mccallen, and Yuri Breitbart, to appear in the
Proceedings of 12th International Conference on Extending Database
Technology (EDBT’09).
-
Efficient Skyline Computation in Metric Space, Dave Fuhry, Ruoming Jin, and Donghui Zhang, to appear in the Proceedings of 12th
International Conference on Extending Database Technology (EDBT’09).
2008
- Overlapping Matrix Pattern Visualization: a Hypergraph
Approach, Ruoming Jin, Yang Xiang, Dave Fuhry, and Feodor Dragan, to appear
in International Conference on Data Mining (ICDM’08), (Full Paper,
Acceptance rate: 9.7%).
- A Topic Modeling Approach and its Integration into the
Random Walk Framework for Academic Search,Jie Tang, Ruoming Jin, Jing Zhang,
to appear in International Conference on Data Mining (ICDM’08) (Short Paper,
Acceptance rate: 19.9%).
- Effective and efficient itemset pattern summarization:
regression-based approaches, Ruoming Jin, Muad Abu-Ata, Yang Xiang, and Ning
Ruan, in the Proceedings of the 14th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD’08), August, 2008, Pages 399-407
(Full Paper, Acceptance rate: 18.5%).
-
Succinct summarization of transactional databases: an
overlapped hyperrectangle scheme,Yang Xiang, Ruoming Jin, Dave Fuhry, and
Feodor Dragan, in the Proceedings of the 14th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD’08), August, 2008,
Pages 758-766 (Full Paper, Acceptance rate: 18.5%).
-
Efficiently Answering Reachability Query on Very Large
Directed Graphs, Ruoming Jin,Yang Xiang,Ning Ruan, and Haixun Wang, in the
Proceedings of ACM SIGMOD conference (SIGMOD’08), June, 2008, Pages 595-608
(Full Paper, Acceptance rate: 18%).
-
Query Planning for Searching Inter-dependent Deep-Web
Databases, Fan Wang, Gagan Agrawal, and Ruoming Jin, in the Proceedings of
20th International Conference on Scientific and Statistical Database
Management (SSDBM’08), July, 2008, pages 24-41 (Full Paper, Acceptance rate:
34.5%).
- Cost-Based Query Optimization for Complex Pattern Mining
on Multiple Databases, Ruoming Jin, Dave Fuhry, and Abdulkareem Alali, in
the Proceedings of 11th International Conference on Extending Database
Technology (EDBT’08), March, 2008, pages 380-391 (Full Paper, Acceptance
rate: 17.5%).
- Data Discretization Unification, Ruoming Jin, Yuri
Breitbart, and Chibuike Muoh, in Knowledge and Information System (one of
the best papers in ICDM'07 selected to KAIS
journal), 2008.
- Middleware for Data Mining Applications on Clusters and
Grids, Leonid Glimcher, Ruoming Jin, Gagan Agrawal, Journal of Parallel and
Distributed Computing (JPDC), 68(1): 37-53 (2008).
2007
- Data Discretization Unification, Ruoming Jin, Yuri
Breitbart, and Chibuike Muoh, in the Proc. of the Seventh IEEE International
Conference on Data Mining (ICDM’07), Oct. 2007 (Full Paper, Acceptance rate:
7%, received two best paper nomination).
-
Trend Motif: A Graph Mining Approach for Analysis of
Dynamic Complex Networks, Ruoming Jin,Scott McCallen, and Eivind Almaas, in
the Proc. of the Seventh IEEE International Conference on Data Mining
(ICDM’07), Oct. 2007 (Short Paper, Acceptance rate: 19%).
- SNPMiner: A Domain-Specific Deep Web Mining Tool, Fan
Wang, Gagan Agrawal, Ruoming Jin,and Helen Piontkivska. in IEEE 7th
Symposium in Bioinformatics and Bioengineering (BIBE), Oct. 2007 (Acceptance
rate: 13%).
- Graph and Topological Structure Mining on Scientific
Articles,Fan Wang, Ruoming Jin, Gagan Agrawal, and Helen Piontkivska. in
IEEE 7th Symposium in Bioinformatics and Bioengineering (BIBE), Oct. 2007
(Acceptance rate: 13%).
-
Frequent Pattern Mining in Data Streams, Ruoming Jin, Gagan Agrawal, book chapter in Data Streams: Models and Algorithms, Ed.
Charu Aggrawal, Spinger, 2007.
2006
Assigning Schema Labels Using Ontology and Heuristics,
Xuan Zhang, Ruoming Jin, and Gagan Agrawal, in IEEE 6th Symposium in
Bioinformatics and Bioengineering (BIBE), Oct. 2006.
Exploratory Tools for Follow-Up Studies to Microarray
Experiments, Kaushik Sinha, Ruoming Jin, Gagan Agrawal, and Helen
Piontkivska, in IEEE 6th Symposium in Bioinformatics and Bioengineering (BIBE),
Oct. 2006.
FREERIDE-G: Supporting Applications that Mine Remote
FREERIDE-G: Supporting Applications that Mine Remote, Leo Glimcher, Ruoming
Jin, and Gagan Agrawal, in the Proc. of International Conference on Parallel
Processing (ICPP), August 2006.
A New Robust Estimation Technique for Approximate
Processing of OLAP Queries, Ruoming Jin, Leo Glimcher, Chris Jermaine, and
Gagan Agrawal, in the Proc. of 22nd International Conference on Data
Engineering (ICDE), April 2006.
A Systematic Approach for Optimizing Complex Mining
Tasks on Multiple Databases, Ruoming Jin and Gagan Agrawal, in the Proc. of
22nd International Conference on Data Engineering (ICDE), April 2006.
A Decomposition-Based Probabilistic Framework for
Estimating the Selectivity of XML Twig Queries,Chao Wang, Srinivasan
Parthasarath, and Ruoming Jin, in the Proc. of 10th International Conference
on Extending Database Technology (EDBT), March 2006.
Fast and Exact Out-of-Core and Distributed K-Means
Clustering, Ruoming Jin, Anjan Goswami, and Gagan Agrawal, in Knowledge and
Information System (one of the best papers in ICDM'04 seleted to KAIS journal), 10(1): 17-40 (2006) .
2005
- An Algorithm for In-Core Frequent Itemset Mining on
Streaming Data, Ruoming Jin and Gagan Agrawal, in the Proc. of the Fifth
IEEE International Conference on Data Mining (ICDM), Nov. 2005.
- Using Data Mining Techniques to Learn Layouts of
Flat-File Biological Datasets, Kaushik Sinha, Xuan Zhang, Ruoming Jin, and
Gagan Agrawal, in the IEEE 5th Symposium on Bioinformatics & Bioengineering
(BIBE), Oct. 2005.
- Simultaneous Optimization of Complex Mining Tasks with a
Knowledgeable Cache, Ruoming Jin,Kaushik Sinhak, and Gagan Agrawal, in the
Proc. of 11th International Conference on Knowledge Discovery and Data
Mining (SIGKDD), Aug. 2005.
-
Discovering Frequent Topological Patterns from Graph
Datasets, Ruoming Jin, Chao Wang, Dmitrii Polshako, Srinivasan Parthasarathy,
Gagan Agrawal, in the Proc. of 11th International Conference on Knowledge
Discovery and Data Mining (SIGKDD), Aug. 2005.
- A Framework to Support Multiple Query Optimization for
Complex Mining Tasks, Ruoming Jin,Kaushik Sinhak, and Gagan Agrawal, in the
Sixth International Workshop on Multimedia Data Mining in conjunction with
KDD (MDM/KDD2005), Aug. 2005.
- Learning Layouts of Biological Datasets
Semi-Automatically, Kaushik Sinha, Xuan Zhang, Ruoming Jin,and Gagan Agrawal,
in the Proc. of 2nd International Workshop on Data Integration in the Life
Sciences (DILS),Jul. 2005.
- Parallelizing a Defect Detection and Categorization
Application, Leo Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, and
Raghu Machiraju, in the Proc. of International Parallel and Distributed
Processing Symposium (IPDPS), April 2005
- Communication and Memory Optimal Parallel Data Cube
Construction, Ruoming Jin, Karthik Vaidyanathan, Ge Yang, and Gagan Agrawal,
in the IEEE transactions on Parallel and Distributed Systems (TPDS), 16(12):
1105-1119 (2005).
-
A Methodology for Detailed Performance Modeling of
Reduction Computations on SMP Machines, Ruoming Jin and Gagan Agrawal, in
Performance Evaluation, Vol. 60(1-4), p. 73-105, 2005.
- Shared Memory Parallelization of Data Mining Algorithms:
Techniques, Programming Interface, and Performance, Ruoming Jin, Ge Yang,
and Gagan Agrawal, in the IEEE Transactions on Knowledge & Data Engineering
(TKDE), Vol. 17, No. 1, January, 2005