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PIGLatin
Ashwin Manjunatha, Paul Anderson, Ajith Ranabahu, Amit Sheth. Identifying and Implementing the Underlying Operators for Nuclear Magnetic Resonance Based Metabolomics Data Analysis. In 3rd International Conference on Bioinformatics and Computational Biology (BICoB-2011). New Orleans, Louisiana; 2011.  (343.39 KB)
Platform Design
Sanjaya Wijeratne, Derek Doran, Amit Sheth, Jack Dustin. Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015.  (1.26 MB)
Plenary Invited Talk abstract
Amit Sheth. Semantics Powered Bioinformatics: Semantic Search, Integration, Processes and Analytics. In BISC FLINT-CIBI:International Joint Workshop on Soft Computing for Internet and Bioinformatics2003,; 2003.  (0 bytes)
Political Preference
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
Populated Ontology
Matthew Perry. TOntoGen: A Synthetic Data Set Generator for Semantic Web Applications. AIS SIGSEMIS Bulletin. (no. 2), April-June 2005. AIS SIGSEMIS Bulletin; 2005 ;:46-48.  (44.4 KB)
Priess-Crampe and Ribenboim Fixed-Point Theorem
Anthony K. Seda, Pascal Hitzler. Generalized Metrics and Uniquely Determined Logic Programs. Theoretical Computer Science. 2003 ;:187-219.  (419.06 KB)
privacy and web applications
Alexandre Passant, Owen Sacco, Julia Anaya, Pavan Kapanipathi. Privacy-By-Design in Federated Social Web Applications. In Web Science 2011. Koblenz, Germany; 2011.  (1.09 MB)
Privacy evaluation
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.  (1.21 MB)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.  (1.21 MB)
Privacy-preserving data mining
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.  (1.21 MB)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.  (1.21 MB)
privacy-preserving data submission
Sharma S, Chen K. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510.  (450.54 KB)
Privacy-preserving protocols
Sagar Sharma, James Powers, Keke Chen. Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
PrivateGraph
Sharma S, Chen K. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510.  (450.54 KB)
probabilistic modeling
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth. Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference on Data Mining (SDM 2013). Austin, Texas; 2013.  (1.45 MB)
probabilistic soft logic
Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. In IEEE Conference on Big Data. Boston, MA, USA; 2017. S. Lalithsena, S. Perera, P. Kapanipathi and A. Sheth, "Domain-specific hierarchical subgraph extraction: A recommendation use case," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
S. Lalithsena, S. Perera, P. Kapanipathi and A. Sheth, "Domain-specific hierarchical subgraph extraction: A recommendation use case," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
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Process QoS
Krzysztof Kochut, Jorge Cardoso, Amit Sheth, M. Kang, John Miller. QoS for Service-oriented Middleware. In 6th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2002), session Web Services and Grid Computing. Orlando, Florida,USA; 2002. p. 528-534.  (222.18 KB)
Kunal Verma, Francisco Curbera, Amit Sheth. Service Oriented Architectures and Semantic Web Processes. International Conference On Web Services (ICWS); 2004.  (2.02 MB)
Profanity
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Prognostic modeling
Vahid Taslimitehrani, Guozhu Dong. A New CPXR Based Logistic Regression Method and Clinical Prognostic Modeling Results Using the Method on Traumatic Brain Injury. IEEE 14th International Conference on BioInformatics and BioEngineering (BIBE). Boca Raton, Florida: IEEE; 2014. p. 283-290.
Program generation
Ashwin Manjunatha, Paul Anderson, Ajith Ranabahu, Amit Sheth. Identifying and Implementing the Underlying Operators for Nuclear Magnetic Resonance Based Metabolomics Data Analysis. In 3rd International Conference on Bioinformatics and Computational Biology (BICoB-2011). New Orleans, Louisiana; 2011.  (343.39 KB)
programmable graphics hardware
Thomas Wischgoll. Visualizing Vascular Structures in Virtual Environments. Visualization and Data Analysis. 2013 ;.
programming semantics
Pascal Hitzler. Towards a Systematic Account of Different Semantics for Logic Programs. Journal of Logic and Computation. 2005 ;:391-404.  (224.54 KB)
PrOM
Satya S. Sahoo, Krishnaprasad Thirunarayan, Olivier Bodenreider, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. In SSDBM2010. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010; 2010.  (810.08 KB)
Propagation Phenomena
Derek Doran, Veena Mendiratta. Propagation Models and Analysis for Mobile Phone Data Analytics. In: Dariusz Krol, Damien Fay, Bogdan Gabryś. Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376.  (544 KB)

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