Dept. of Computer Science and Engineering and Department of Biomedical Informatics
The Ohio State University
395 Dreese Lab
2015 Neil Ave
Columbus, OH-43210, USA
Office: 693 Dreese Lab Phone: (614) 292-2568 Fax: (614) 292-2911 Email: s r i n i
[AT] cse.ohio-state.edu (remove spaces in name and replace [AT] with appropriate
symbol) WWW: http://www.cse.ohio-state.edu/~(add first five letters of my first name)
IEEE Data
Mining Best Applications Paper Award, 2002
Ameritech
Faculty Fellow, 2001
Nominations
for Best Paper at KDD 2006, ISMB 2009, ACM BCB 2010
Selected Recent
Publications (2007-present)
V. Satuluri and S. Parthasarathy, Bayesian Locality Sensitive Hashing
for Fast Similarity Search, to appear in the Proceedings of VLDB 2012
(DB, DM).
X. Yang, A. Ghoting, Y. Ruan and S. Parthasarathy, A
Framework for Summarizing and Analyzing Twitter Feeds, to appear,
SIGKDD 2012 (DM, NS)
Y-K Shih and S. Parthasarathy,
A Single-source K
Shortest Paths Algorithm to Infer Regulatory Pathways in a Gene Network, to appear inISMB 2012 (BIO)
D. Fuhry, Y. Ruan, S. Parthasarathy, Local
vs. Global Term Analysis for Understanding Community Differences in Social
Networks, to appear in ACM
Web Science 2012 (NS)
Y. Ruan, H. Purohit, D. Fuhry, S. Parthasarathy, A. Sheth,Prediction of Topic Volume on Twitter, to appear in ACM Web Science 2012 (NS)
Y. Zhang and S. Parthasarathy,
Extracting, Analyzing, and Visualizing Triangle K-Core Motifs within Networks , in the Proceedings of the International
Conference on Data Engineering (ICDE) 2012 (NS, DM).
Y-K. Shih and S. Parthasarathy, Scalable Global Alignment for Multiple
Biological Networks,
in BMC Bioinformatics, Vol 12: S11, 2012. Earlier version appeared in ACM
Bioinformatics Conference 2011 (BIO).
X. Yang, S. Parthasarathy,
and P. Sadayappan, Fast Sparse Matrix-Vector
Multiplication on GPUs: Implications for Graph Mining, in the
Proceedings of VLDB 2011 (HPC, NS, DM).
SrinivasanParthasarathy, YiyeRuan and VenuSatuluri. "Community Discovery in Social
Networks: Applications, Methods and Emerging Trends", in Social
Network Data Analytics 2011. (NS, DM)
V. Satuluri, S. Parthasarathy, and Y. Ruan, Local
Graph Sparsification for Scalable Clustering,
in SIGMOD 2011 (NS, DM).
V. Satuluri and S. Parthasarathy, Symmetrizations
for Clustering Directed Graphs, in EDBT 2011 (NS, DM).
Y. Wang, S. Parthasarathy and
S. Tatikonda, Locality Sensitive Outlier
Detection, in ICDE 2011 (DB, DM).
G. Orair, C. Teixeira, Y.
Wang, W. Meira, and S. Parthasarathy,
Distance-Based Outlier Detection: Consolidation and Renewed
Bearing, in Proceedings of VLDB 2010 (DM, DB).
V. Satuluri,
S. Parthasarathy and D. Ucar,
Markov Clustering of Protein Interaction Networks, in the
Proceedings of ACM Bioinformatics 2010. (BIO, DM)
S. Tatikonda and S. Parthasarathy, Hashing Tree Structured Data:
Methods and Applications, in the proceedings of the IEEE International
Conference on Data Engineering 2010 (DB, DM, HPC).
S. Asur, S. Parthasarathy
and D. Ucar. An Event-based Framework for Characterizing the Evolutionary
Behavior of Interaction Graphs, in ACM Transactions on KDD 2009 (NS, DM).
Z. Zhang, B-C Ooi, S. Parthasarathy and A. TungSimilarity Search on Bregman Divergence: Towards Non-Metric Indexing,Proceedings
of VLDB 2009 (DB).
S. Tatikonda and S. Parthasarathy,Mining Tree Structured
Data On Multicore Systems,Proceedings of VLDB 2009 (DM, HPC,
NS).
D. Ucar, A. Beyer, S. Parthasarathy and C. T. Workman, Predicting
Functionality of Protein-DNA Interactions by Integrating Diverse Evidence,ISMB
2009 (BIO, DM).
S. Asur and S. Parthasarathy, A Viewpoint-based Approach for
Interaction Graph Analysis,ACM SIGKDD 2009 (NS, DM).
V. Satuluri and S. Parthasarathy, Scalable Graph Clustering Using
Stochastic Flows: Applications to Community Discovery,ACM
SIGKDD 2009 (NS, DM).
T. Q. Trung, C-Y. Chan and S.
Parthasarathy, Query By Output,ACM
SIGMOD 2009 (DB).
G. Buehrer, S. Parthasarathy and M. Goyder,
Data Mining on the Cell Processor, ACM ICS 2008 (HPC, DM).
X. Yang, S. Asur, S. Parthasarathy and S. Mehta, A
Visual-Analytic Toolkit for Dynamic Interaction Graphs, ACM SIGKDD 2008 (NS, DM).
D. B. Larkins, J. Dinan, S. Krishnamoorthy, S.
Parthasarathy, A. Rountev,
and P. Sadayappan, Global trees: A Framework
for Linked Data Structures on Distributed Memory Parallel Systems, Supercomputing (SC) 2008 (HPC).
N. Wang, S. Parthasarathy,
K-L Tan, A. Tung, CSV: Visualizing and MiningCohesiveSubgraphs,
ACM SIGMOD 2008 (NS, DB, DM).
A. Ghoting, S. Parthasarathy
and M. Otey,Fast Mining of Distance Based Outliers in High-Dimensional
Datasets, Data Mining and
Knowledge Discovery Journal, 2008 (DM).
K. Marsolo and S. Parthasarathy, On the Use of Structure and Sequence
based features for Protein Classificaton and
Retrieval, Knowledge and
Information Systems Journal, 2008. Invited for fast-track submission as one of the best papers of
ICDM 2006 (BIO,DM).
C. Wang, V. Satuluri, and S. Parthasarathy, Local Probabilistic Models for Link
Prediction, IEEE ICDM 2007
(NS, DM).
S. Tatikonda, S. Parthasarathy and M. Goyder,
LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying, VLDB 2007 (DB).
S. Asur, D. Ucar and S. Parthasarathy, An Ensemble Framework for Clustering
Protein-Protein Interaction Networks, ISMB 2007 (BIO, NS, DM).
G. Buehrer, S. Parthasarathy, S. Tatikonda,
T. Kurc and J. Saltz, Towards
Terabyte Pattern Mining: An Architecture Conscious Solution, ACM PPOPP 2007 (HPC, DM).
A. Ghoting, G. Buehrer, S. Parthasarathy,
D. Kim, A. Nguyen, Y.Chen, and P. Dubey, Cache-Conscious Frequent Pattern Mining on
Modern and Emerging Processors, in International
Journal on Very Large Data Bases, 16(1): 77-96 (2007). Earlier version
of this article
S. Asur, S. Parthasarathy and D. UcarAn
Event-based Framework for Characterizing the Evolutionary Behavior of
Interaction Graphs, In ACM SIGKDD2007.
D. Ucar, I. Neuhaus, P. R-Macdonald, C. Tilford,
S. Parthasarathy, N. Siemers,
and R-R. Ji, Construction of a Reference Gene
Association Network from Multiple Profiling Data: Application to Data
Analysis, Bioinformatics 2007 (BIO,
NS, DM).
K. Marsolo, M. Twa, M. Bullimore and S. Parthasarathy, Spatial Modeling and Classification
of Corneal Shape, IEEE
Transactions on Information Technology in Biomedicine, 2007 (BIO, DM).
I
direct the Data Mining Research Laboratory which is a part of the High End Systems
Group and affiliated with the Laboratory for Artificial Intelligence Research.
For details on other recent publications, older publications and ongoing
projects and personnel involved please click here.
The National Science Foundation, the Department of Energy and the National
Institutes of Health have been the primary supporters of my group's research.
Details on the Global Graphs project can be found here.
Here
is what google scholar has on my work
in data mining (bioinformatics work is excluded).