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emotion-related hashtags
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)
emotional situations
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)
encrypted data
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)
Engagement Degree
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)
Enterprise Content Management
Amit Sheth, M. Fisher. Semantic Enterprise Content Management. In 2004.  (381.38 KB)
Enterprise Resource Planning and Workflow Management System and Enterprise Application Integration
Robert Bostrom, Amit Sheth, Jorge Cardoso. Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications. 2002.  (285.47 KB)
entity Disambiguation
Pablo Mendes. Adaptive Semantic Annotation of Entity and Concept Mentions in Text. Department of Engineering and Computer Science . [Dayton]: Wright State University; 2013.  (1.81 MB)
entity Extraction
Pablo Mendes. Adaptive Semantic Annotation of Entity and Concept Mentions in Text. Department of Engineering and Computer Science . [Dayton]: Wright State University; 2013.  (1.81 MB)
entity Linking
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan. Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132.  (365.33 KB) (530.27 KB)
Pablo Mendes. Adaptive Semantic Annotation of Entity and Concept Mentions in Text. Department of Engineering and Computer Science . [Dayton]: Wright State University; 2013.  (1.81 MB)
Entity Modeling
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan. Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132.  (365.33 KB) (530.27 KB)
Entity Relationships
Siva Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit Sheth. Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015.  (355.5 KB)
Entity Summarization
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange. 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100.  (1.13 MB) (488 KB)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth. FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering. In 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Austin, Texas; 2015.  (562.36 KB)
Entity Tagging
Pablo Mendes. Adaptive Semantic Annotation of Entity and Concept Mentions in Text. Department of Engineering and Computer Science . [Dayton]: Wright State University; 2013.  (1.81 MB)
error analysis
Guozhu Dong, Vahid Taslimitehrani. Pattern-Aided Regression Modeling and Prediction Model Analysis. IEEE Transactions on Knowledge and Data Engineering. 2015 ;27(9):2452-2465.
especially in large datasets. Automated algorithms and statistical methods are typically not effective in handling such particular clusters. The second problem is how to effectively label the entire data on disk (disk-labeling) without introducing additi
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
Euclidean embedding algorithms
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
Euclidean space
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
event analysis
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)
Event analysis on social media
Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253.  (2.21 MB)
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (1.18 MB)
event extraction
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
event ontology
Saeedeh Shekarpour, Alshargi F, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth. CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. In The 13th IEEE International Conference on Semantic Computng. Newport Beach, California: IEEE; 2019.  (488.83 KB)
Events
Amit Sheth, Matthew Perry. Traveling the Semantic Web through Space, Theme and Time. IEEE Educational Activities Department. 2008 ;:81-86.  (749.75 KB)
EventWeb
Amit Sheth, Matthew Perry. Traveling the Semantic Web through Space, Theme and Time. IEEE Educational Activities Department. 2008 ;:81-86.  (749.75 KB)
Evidence Accumulation
Pramod Anantharam, Biplav Srivastava, Amit Sheth. Utility-driven Evolution Recommender for a Constrained Ontology. In International Conference on Web Intelligence, Mining and Semantics (WIMS 2013). Madrid, Spain; 2013.  (3.6 MB)
Evolution Strategy
Pramod Anantharam, Biplav Srivastava, Amit Sheth. Utility-driven Evolution Recommender for a Constrained Ontology. In International Conference on Web Intelligence, Mining and Semantics (WIMS 2013). Madrid, Spain; 2013.  (3.6 MB)
evolutionary computation
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
Evolutionary computing and genetic algorithms
Douglas Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE/ACM Transactions on Computational Biology and Bioinformatics. IEEE Computer Society Press; 2009 ;8(2):342-352.  (1.85 MB)
D. Raiford, Doug Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE Control Systems Society. 2008 ;.
Exception handling
Z. Luo, Amit Sheth, John Miller, Krzysztof Kochut. Exception Handling in Workflow Systems. Applied Intelligence: International Journal of AI, Neural Networks, and Complex Problem-Solving Technologies 13 (no. 2). Applied Intelligence: International Journal of AI, Neural Networks, and Complex Problem-Solving Technologies; 2000 ;:125-147.  (373.5 KB)
Knowledge Sharing, Coordinated Exception Handling, and Intelligent Problem Solving for Cross-Organizational Business Processes. 2001.  (929.26 KB)
executor
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)
Expert Finder
Boanerges Aleman-Meza, Amit Sheth, Ismailcem Budak Arpinar, Delroy Cameron, Sheron Decker. A Taxonomy-based Model for Expertise Extrapolation. In 4th International Conference on Semantic Computing (ICSC2010). Pittsburgh PA, USA; 2010.  (659.87 KB)

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