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Sarasi Lalithsena, Pavan Kapanipathi, Amit Sheth. Harnessing Relationships for Domain-specific Subgraph Extraction: A Recommendation Use Case. In IEEE International Conference on Big Data. Washington D.C.; 2016.  (670.22 KB)
S. Lalithsena, K. Hewagamage, K. Jayaratne. A Semantic Web Model for the Personalized e-Learning. 9th International Information Technology Conference. Negombo, Sri Lanka: ICTer; 2008.  (247.29 KB)
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.
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Sarasi Lalithsena, Luis Tari, Anna Von-Reden, Benjamin Wilson, Brian Kolowitz, John Kalafut, Steven Gustafson, Amit Sheth. Feedback-Driven Radiology Exam Report Retrieval with Semantics. In 2015 IEEE International Conference on Healthcare Informatics. Dallas, Texas; 2015.  (591.92 KB)
Sarasi Lalithsena, Prateek Jain, Pascal Hitzler, Amit Sheth. Automatic Domain Identification for Linked Open Data. In 2013 IEEE/WIC/ACM International Conference on Web Intelligence. Atlanta, GA: ACM; 2013.  (1.16 MB)
Joyce Lam, Ke Wang, Jian Pei, Guozhu Dong, Jiawei Han. Mining Multi-Dimensional Constrained Gradients in Data Cubes. 2001 ;.
Francois R. Lamy, Raminta Daniulaityte, Ramzi W. Nahhas, Monica J. Barratt, Alan G. Smith, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. Increases in synthetic cannabinoids-related harms: Results from a longitudinal web-based content analysis. International Journal of Drug Policy. Elsevier; 2017 ;44:121-129.
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi Nahhas, Silvia Martins, Edward Boyer, Robert Carlson. "Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence. 2016 ;:64-70.  (731.83 KB)
Francois R. Lamy, Raminta Daniulaityte, Mussah Zatreh, Ramzi W. Nahhas, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates. Drug and Alcohol Dependence. 2018 ;183:248 - 252.
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Robert Carlson, Ramzi W. Nahhas, Monica Barratt, Usha Lokala. eDarkTrends update: New synthetic opiods identified on two cryptomarkets. 2018 .  (423.29 KB)
J. Larson, Amit Sheth. Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys. 1990 ;:183-236.  (4.74 MB)
Ora Lassila, Amit Sheth. Semantic Web for 360-degree Health: State-of-the-Art & Vision for Better Interoperability. 2011.  (11.11 MB)
K. Lee, W. Mansfield, Amit Sheth. A Framework for Controlling Cooperative Agents. Computer. 1993 ;:8-16.  (923.25 KB)
C. Lee, Shaojun Wang, M. Brown, A. Murtha, R. Greiner. Constrained Classification on Structured Data. In Constrained Classification on Structured Data. 2008.
Payam Barnaghi, Michael Compton, Oscar Corcho, Raul Garcia Castro, John Graybeal, Arthur Herzog, Krzysztof Janowicz, Holger Neuhaus, Andriy Nikolov, Kevin Page. Semantic Sensor Network XG Final Report. Laurent Lefort, Cory Henson, Kerry Taylor. 2011 .
Jens Lehmann, Pascal Hitzler. Foundations of Refinement Operators for Description Logics. In 17th International Conference, ILP 2007. Corvallis, OR, USA; 2007. p. 161-174.  (188.77 KB)
Jens Lehmann, Sebastian Bader, Pascal Hitzler. Extracting Reduced Logic Programs from Artificial Neural Networks. 2010 ;.  (326.57 KB)
Jens Lehmann, Pascal Hitzler. Concept Learning in Description Logics Using Refinement Operators. Machine Learning. 2010 ;:203-250.  (1.05 MB)
Jens Lehmann, Sebastian Bader. Extracting Reduced Logic Programs from Artificial Neural Networks. In 2005.
Jens Lehmann, Pascal Hitzler. A Refinement Operator Based Learning Algorithm for the ALC Description Logic. In 17th International Conference, ILP. Corvallis, OR, USA: 17th International Conference, ILP 2007; 2007. p. 147-160.  (222.92 KB)
Jinyan Li, Limsoon Wong, Mengling Feng, Guozhu Dong. Maintenance of Frequent Patterns: A Survey. In 2009.  (850.75 KB)
Jinyan Li, Guozhu Dong. Interestingness of Discovered Association Rules in terms of Neighborhood-Based Unexpectedness. 1998 ;.
Jinyan Li, Guozhu Dong. Emerging Patterns. 2009 ;.  (0 bytes)
Qing Li, Guozhu Dong. A framework for object migration in object-oriented databases. 1994 ;.
Jinyan Li, Limsoon Wong, Yap-Peng Tan, Mengling Feng, Guozhu Dong. Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. Proceedings of PAKDD. In Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. Proceedings of PAKDD. 2007.
Jinyan Li. Applications of Emerging Patterns for Microarray Gene Expression Data Analysis. In 2009.
Qing Li, Liping Wang, Guozhu Dong, Yu Li. Semantic Knowledge Facilities for a Web-based Recipe Database System Supporting Personalization. 2008 ;.
Zhongqiao Li. Using Collaboration Task in OrbWork Enactment System for METEOR Workflow Management System. 2000.  (547.1 KB)
Jinyan Li, Kotagiri Ramamohanarao, Guozhu Dong. The Space of Jumping Emerging Patterns and Its Incremental Maintenance. 2000 ;.
Jinyan Li. Encyclopedia of Database Systems. In 2009.
Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao. Combining the strength of pattern frequency and distance for classification. 2001 ;.
Jinyan Li, Guozhu Dong. Efficient Mining of Emerging Patterns: Discovering Trends and Differences. In Efficient Mining of Emerging Patterns: Discovering Trends and Differences. 1999.
Qing Li, Guozhu Dong. Object migration in object-oriented databases. 1992 ;.
Leonid Libkin, Limsoon Wong, Guozhu Dong. Incremental Recomputation in Local Languages. 2003 ;.
Leonid Libkin, Jianwen Su, Guozhu Dong, Limsoon Wong. Maintaining Transitive Closure of Graphs in SQL. 1999 ;.
D. Lin, J. Lynch, John Miller, Devan Palaniswami, Amit Sheth, D. Worah, S. Das, I. Shevchenko, Krzysztof Kochut. Supporting State-wide Immunization Tracking Using Multi-Paradigm Workflow Technology. In Supporting State-wide Immunization Tracking Using Multi-Paradigm Workflow Technology. Bombay, India; 1996. p. 263-273.  (432.35 KB)
Xuemin Lin, Guozhu Dong, Yu Yang, Jeffrey Xu Yu, Wei Wang. Advances in Data and Web Management: Proceedings of the Joint International ApWeb/WAIM Conference on Web-Age Information Management. 2007.
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)
M. Liu, Amit Sheth, A. Singhal. An Analysis of the Effect of Network Parameters on the Performance of Distributed Database Systems. 1985 ;.
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Ling Liu, Keke Chen. A Visual Framework Invites Human into the Clustering Process. In A Visual Framework Invites Human into the Clustering Process. 2003.  (0 bytes)
Ling Liu, Keke Chen. Towards Attack-Resilient Geometric Data Perturbation. In Towards Attack-Resilient Geometric Data Perturbation. 2007.  (0 bytes)
Ling Liu, Keke Chen. Cluster Rendering of Skewed Datasets via Visualization. In Cluster Rendering of Skewed Datasets via Visualization. 2003.  (0 bytes)
Xiaotong Liu, Srinivasan Parthasarthy, Han-Wei Shen, Yifan Hu. GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. In 24th International Conference on World Wide Web. Florence, Italy; 2015.
Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (0 bytes)
Ling Liu, Keke Chen. A Survey of Multiplicative Data Perturbation for Privacy Preserving Data Mining. In 2008.  (244.19 KB)
Qingbao Liu, Guozhu Dong. A Contrast Pattern Based Clustering Quality Index for Categorical Data. In IEEE International Conference on Data Mining series (ICDM 2009). Miami, Florida; 2009.  (224.95 KB)
Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.  (0 bytes)
Ling Liu, Keke Chen. Detecting Change of Clustering Structure in Categorical Data Stream. In Detecting Change of Clustering Structure in Categorical Data Stream. 2006.  (0 bytes)
Qingbao Liu, Wanjun Wang, Su Deng, Guozhu Dong. An Equivalence Class Based Clustering Algorithm for Categorical Data. In International Conference on Advances in Information Mining and Management. Barcelona, Spain: International Conference on Advances in Information Mining and Management; 2011.  (98.17 KB)

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