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location extraction
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
location-centric processing
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
Lod federated query
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD ontology
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Schema
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Schema Entichment
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Semantic Enrichment
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
log likelihood
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
logic programming semantics
Matthias Wendt, Pascal Hitzler. A uniform approach to logic programming semantics. Theory and Practice of Logic Programming. 2005 ;:123-159.  (326.6 KB)
logically parallel language
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Logistic regression
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.
Loose Semantic Coupling
Souleiman Hasan, Kalpa Gunaratna, Yongrui Qin, Edward Curry. Demo: Approximate Semantic Matching in the COLLIDER Event Processing Engine. 7th ACM International Conference on Distributed Event-Based Systems (DEBS '13). Arlington, Texas; 2013.  (494.76 KB)
Loperamide
Raminta Daniulaityte, Robert Carlson, Russel Falck, Delroy Cameron, Sujan Perera, Lu Chen, Amit Sheth. I Just Wanted to Tell You That Loperamide WILL WORK: A Web-Based Study of Extra-Medical Use of Loperamide. Drug Alcohol Dependence. 2013 ;130(1-3):241-244.  (284.07 KB)
Raminta Daniulaityte, Robert Carlson, Russel Falck, Delroy Cameron, Sujan Udayanga, Lu Chen, Amit Sheth. A Web-Based Study of Self-Treatment of Opioid Withdrawal Symptoms with Loperamide. In College on Problems of Drug Dependence (CPDD). The College on Problems of Drug Dependence (CPDD), Palm Springs, CA USA, June 9-14, 2012: College on Problems of Drug Dependence (CPDD) ; 2012.  (433.83 KB)
Lowenheim class
James Bailey, Guozhu Dong, Anthony Widjaja. Logical Queries over Views: Decidability and Expressiveness. ACM Transactions on Computational Logic. 2010 ;.  (375.04 KB)
machine learning
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)
Vahid Taslimitehrani. Contrast Pattern Aided Regression and Classification. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 120.  (1.43 MB)
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Mahdavinejad MSaeid, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit Sheth. Machine Learning for Internet of Things Data Analysis: A Survey. Digital Communication and Networks [Internet]. ELSEVIER; 2017 ;. http://www.sciencedirect.com/science/article/pii/S235286481730247X (673.83 KB)
Keke Chen, Bharath Avusherla, Sarah Allison, Vincent Schmidt. SPIN: Cleaning, Monitoring, and Querying Image Streams Generated by Ground-Based Telescopes for Space Situational Awareness. 2017 ;. Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
 (2.5 MB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79.  (514.1 KB)
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
The Semantic Web - ISWC 2009. 2009.  (0 bytes)
Lan Lin, Aldo Dagnino, Derek Doran, Swapna Gokhale. Data Analytics for Power Utility Storm Planning. 6th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy; 2014.  (240.43 KB)
machine learning algorithms
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
machine-learned ranking
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen. Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. In International Conference on Computational Linguistics. 2010.  (267.85 KB)
Management and querying of encrypted data
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.
Mapping
Amit Sheth, Meenakshi Nagarajan, Kunal Verma, John Miller. Ontology Driven Data Mediation in Web Services. International Journal of Web Services Research. 2007 ;.  (761.7 KB)
MapReduce
Fengguang Tian, Keke Chen. Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. In IEEE Conference on Cloud Computing. 2011.  (223.59 KB)
Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti. Distributed OWL EL Reasoning: The Story So Far. Thomas Liebig, Achille Fokoue. 10th International Workshop on Scalable Semantic Web Knowledge Base Systems. Riva del Garda, Italy: CEUR; 2014. p. 61-76.  (437.93 KB)

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