Vijay V. Raghavan

ORCID

Publication Activity (10 Years)

Years Active: 1977-2021
Publications (10 Years): 21

Top Venues

Publications

Titli Sarkar, Vijay V. Raghavan, Feng Chen, Andrew Riley, Sophia Zhou, Wu Xu
Exploring the effectiveness of the TSR-based protein 3-D structural comparison method for protein clustering, and structural motif identification and discovery of protein kinases, hydrolases, and SARS-CoV-2's protein via the application of amino acid grouping. Comput. Biol. Chem. 92 (2021)
Maria Bala Duggimpudi, Shaaban Abbady, Jian Chen, Vijay V. Raghavan
Spatio-temporal outlier detection algorithms based on computing behavioral outlierness factor. Data Knowl. Eng. 122 (2019)
Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols
A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access 7 (2019)
Linh Le, Ying Xie, Vijay V. Raghavan
Deep Similarity-Enhanced K Nearest Neighbors. IEEE BigData (2018)
Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN (2018)
Murat Seckin Ayhan, Vijay V. Raghavan
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data. CoRR (2017)
Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala
Supervised approach to rank predicted links using interestingness measures. BIBM (2017)
Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
Framework for Real-Time Event Detection using Multiple Social Media Sources. HICSS (2017)
Mohammad Amir Sharif, Vijay V. Raghavan
Link prediction based hybrid recommendation system using user-page preference graphs. IJCNN (2017)
Sumi Singh, Wu Xu, Vijay V. Raghavan
Descriptor based protein structure representation using triangular spatial relationships in 3-D. BIBM (2017)
Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan
Sub-event detection from tweets. IJCNN (2017)
Shaaban Abbady, Cheng-Yuan Ke, Jennifer Lavergne, Jian Chen, Vijay V. Raghavan, Ryan Benton
Online mining for association rules and collective anomalies in data streams. IEEE BigData (2017)
Muhammet Serkan Çinar, Burkay Genç, Hayri Sever, Vijay V. Raghavan
Analyzing Structure of Terrorist Networks by Using Graph Metrics. ICBK (2017)
Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan
An Ontology-Based Architecture for Providing Insights in Wireless Networks Domain. WI (2016)
Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan
Renaissance in Database Management: Navigating the Landscape of Candidate Systems. Computer 49 (4) (2016)
Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan
Detection of event onset using Twitter. IJCNN (2016)
Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton
Detecting adverse drug effects using link classification on twitter data. BIBM (2015)
Venkat N. Gudivada, Ricardo Baeza-Yates, Vijay V. Raghavan
Big Data: Promises and Problems. Computer 48 (3) (2015)
Elshaimaa Ali, Vijay V. Raghavan
Extending SKOS: A Wikipedia-Based Unified Annotation Model for Creating Interoperable Domain Ontologies. ISMIS (2015)
Yuefeng Li, Vijay V. Raghavan
Editorial. Web Intell. 13 (3) (2015)
Dhana Rao, Venkat N. Gudivada, Vijay V. Raghavan
Data quality issues in big data. IEEE BigData (2015)
Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan
NoSQL Systems for Big Data Management. SERVICES (2014)
Satya Katragadda, Miao Jin, Vijay V. Raghavan
An Unsupervised Approach to Identify Location Based on the Content of User's Tweet History. AMT (2014)
Mohammad Amir Sharif, Vijay V. Raghavan
A clustering based scalable hybrid approach for web page recommendation. IEEE BigData (2014)
Mohammad Amir Sharif, Vijay V. Raghavan
A Large-Scale, Hybrid Approach for Recommending Pages Based on Previous User Click Pattern and Content. ISMIS (2014)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez
DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. Web Intelligence (2013)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease. Brain and Health Informatics (2013)
Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. RSFDGrC (2013)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease. Int. J. Data Min. Bioinform. 7 (2) (2013)
Ryan G. Benton, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan
Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. Brain and Health Informatics (2013)
Ying Xie, Jonathan Fisher, Vijay V. Raghavan, Tom Johnsten, Can Akkoç
Granular Approach for Protein Sequence Analysis. RSCTC (2012)
Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan
Weighted Fuzzy Aggregation for Metasearch: An Application of Choquet Integral. IPMU (1) (2012)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. ISMIS (2012)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS (2012)
Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang
Special issue on advances in web intelligence. Neurocomputing 76 (1) (2012)
Ying Xie, Vijay V. Raghavan
A random walk model based approach for quantifying technology emergence and impact for research articles. GrC (2012)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease. BIBM Workshops (2012)
Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang
Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence. IEEE Intell. Informatics Bull. 12 (1) (2011)
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan, Ashish Gupta
Supervised Link Discovery on Large-Scale Biomedical Concept Networks. BIBM (2011)
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
Algorithms for discovering potentially interesting patterns. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2 (2) (2011)
Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten
FAARM: Frequent Association Action Rules Mining Using FP-Tree. ICDM Workshops (2011)
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. GrC (2010)
Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey
Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels. BIBM (2010)
Dheerendranath Mundluru, Vijay V. Raghavan, Zonghuan Wu
Automatically Extracting Web Data Records. AMT (2010)
Fatih Mehmet Gulec, Tahir Bicakci, Ebru Akcapinar Sezer, Hayri Sever, Vijay V. Raghavan
Analyzing the Effectiveness of Pruning and Grouping Methods Used in Literature-Based Discovery Tools. Web Intelligence/IAT Workshops (2010)
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan
Biomedical Relationship Extraction from literature based on bio-semantic token subsequences. Int. J. Funct. Informatics Pers. Medicine 3 (1) (2010)
Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan
Search Engine Result Aggregation Using Analytical Hierarchy Process. Web Intelligence/IAT Workshops (2010)
Oguz Aslanturk, Ebru Akcapinar Sezer, Hayri Sever, Vijay V. Raghavan
Application of Cascading Rough Set-Based Classifiers on Authorship Attribution. GrC (2010)
Ying Xie, Vijay V. Raghavan, Andrew Young
Hyper-textual language model for web information retrieval. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1 (2) (2009)
Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie
An efficient algorithm for discovering positive and negative patterns. GrC (2009)
Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan
Biomedical Relationship Extraction from Literature Based on Bio-semantic Token Subsequences. BIBM (2009)
Kemal Efe, Vijay V. Raghavan, Suresh K. Choubey
Simulation Modeling Movable Hospital Assets Managed with RFID Sensors. WSC (2009)
Jingtao Yao, Vijay V. Raghavan, Zonghuan Wu
Web information fusion: A review of the state of the art. Inf. Fusion 9 (4) (2008)
Jingtao Yao, Vijay V. Raghavan, Zonghuan Wu
Web information fusion. Inf. Fusion 9 (4) (2008)
Ying Xie, Vijay V. Raghavan, Andrew Young
Hyper-Textual Language Model for Web Information Retrieval. GrC (2008)
Ying Xie, Vijay V. Raghavan
Language-modeling kernel based approach for information retrieval. J. Assoc. Inf. Sci. Technol. 58 (14) (2007)
King-Lup Liu, Weiyi Meng, Jing Qiu, Clement T. Yu, Vijay V. Raghavan, Zonghuan Wu, Yiyao Lu, Hai He, Hongkun Zhao
AllInOneNews: development and evaluation of a large-scale news metasearch engine. SIGMOD Conference (2007)
Anca Doloc-Mihu, Vijay V. Raghavan
Three-way aspect model (TWAPM) and co-training for image retrieval. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2007)
Shixian Chu, Jinfeng Chen, Zonghuan Wu, Chee-Hung Henry Chu, Vijay V. Raghavan
A Treemap-Based Result Interface for Search Engine Users. HCI (8) (2007)
Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan
On Fuzzy Result Merging for Metasearch. FUZZ-IEEE (2007)
Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan
A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch. RSFDGrC (2007)
Yiyao Lu, Zonghuan Wu, Hongkun Zhao, Weiyi Meng, King-Lup Liu, Vijay V. Raghavan, Clement T. Yu
MySearchView: a customized metasearch engine generator. SIGMOD Conference (2007)
Youjin Chang, Minkoo Kim, Vijay V. Raghavan
Construction of query concepts based on feature clustering of documents. Inf. Retr. 9 (3) (2006)
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Raghavan, Hisham Haddad
On Novelty Evaluation of Potentially Useful Patterns. DMIN (2006)
Biren Shah, Vijay V. Raghavan, Praveen Dhatric, Xiaoquan Zhao
A cluster-based approach for efficient content-based image retrieval using a similarity-preserving space transformation method. J. Assoc. Inf. Sci. Technol. 57 (12) (2006)
Anca Doloc-Mihu, Vijay V. Raghavan
Score Distribution Approach to Automatic Kernel Selection for Image Retrieval Systems. ISMIS (2006)
Jongpill Choi, Minkoo Kim, Vijay V. Raghavan
Adaptive relevance feedback method of extended Boolean model using hierarchical clustering techniques. Inf. Process. Manag. 42 (2) (2006)
Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran
On discovering "potentially useful" patterns from databases. GrC (2006)
Anca Doloc-Mihu, Vijay V. Raghavan
Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS). CIVR (2006)
Ying Xie, Dheerendranath Mundluru, Vijay V. Raghavan
Incorporating agent based neural network model for adaptive meta-search. ACM Southeast Regional Conference (1) (2005)
Karthik Ramachandran, Biren Shah, Vijay V. Raghavan
Dynamic Pre-fetching of Views Based on User-Access Patterns in an OLAP System. ICEIS (1) (2005)
Ying Xie, Vijay V. Raghavan, Praveen Dhatric, Xiaoquan Zhao
A new fuzzy clustering algorithm for optimally finding granular prototypes. Int. J. Approx. Reason. 40 (1-2) (2005)
Hongkun Zhao, Weiyi Meng, Zonghuan Wu, Vijay V. Raghavan, Clement T. Yu
Fully automatic wrapper generation for search engines. WWW (2005)
Elizabeth D. Diaz, Arijit De, Vijay V. Raghavan
A Comprehensive OWA-Based Framework for Result Merging in Metasearch. RSFDGrC (2) (2005)
Anca Doloc-Mihu, Vijay V. Raghavan, Surendra Karnatapu, Chee-Hung Henry Chu
Interface for visualization of image database in adaptive image retrieval systems (AIRS). Visualization and Data Analysis (2005)
Ying Xie, Vijay V. Raghavan
GAMInG - A Framework for Generalization of Association Mining via Information Granulation. Rough Sets and Current Trends in Computing (2004)
Biren Shah, Vijay V. Raghavan, Praveen Dhatric
Efficient and Effective Content-Based Image Retrieval using Space Transformation. MMM (2004)
Jitender S. Deogun, Liying Jiang, Vijay V. Raghavan
Discovering Maximal Potentially Useful Association Rules Based on Probability Logic. Rough Sets and Current Trends in Computing (2004)
Zonghuan Wu, Dheerendranath Mundluru, Vijay V. Raghavan
Automatically Detecting Boolean Operations Supported by Search Engines, Towards Search Engine Query Language Discovery. Workshop on Web-based Support Systems (2004)
Jamal R. Alsabbagh, Vijay V. Raghavan
A Model for Multiple-Query Processing Based upon Strong Factoring. ITCC (1) (2004)
Hayri Sever, Zafer Bolat, Vijay V. Raghavan
Use of Preference Relation for Text Categorization. Rough Sets and Current Trends in Computing (2004)
Elizabeth D. Diaz, Arijit De, Vijay V. Raghavan
On Selective Result Merging in a Metasearch Enviroment. Workshop on Web-based Support Systems (2004)
Ritesh Mehra, Satya K. Gandham, Zonghuan Wu, Vijay V. Raghavan
Configuring Java-Based Web Application Development Environment for an Academic Setting. Workshop on Web-based Support Systems (2004)
Surendra Karnatapu, Karthik Ramachandran, Zonghuan Wu, Biren Shah, Vijay V. Raghavan, Ryan G. Benton
Estimating Size of Search Engines in an Uncooperative Environment. Workshop on Web-based Support Systems (2004)
Biren Shah, Vijay V. Raghavan
Space Transformation Based Approach for Effective Content-Based Image Retrieval. ISMIS (2003)
Abhilash Gummadi, Jong P. Yoon, Biren Shah, Vijay V. Raghavan
A bitmap-based access control for restricted views of XML documents. XML Security (2003)
Miroslav Kubat, Aladdin Hafez, Vijay V. Raghavan, Jayakrishna R. Lekkala, Wei Kian Chen
Itemset Trees for Targeted Association Querying. IEEE Trans. Knowl. Data Eng. 15 (6) (2003)
Zonghuan Wu, Vijay V. Raghavan, Chun Du, Komanduru Sai C, Weiyi Meng, Hai He, Clement T. Yu
SE-LEGO: creating metasearch engines on demand. SIGIR (2003)
Jitender S. Deogun, Liying Jiang, Ying Xie, Vijay V. Raghavan
Probability Logic Modeling of Knowledge Discovery in Databases. ISMIS (2003)
Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan
Co-Citation count vs correlation for influence network visualization. Inf. Vis. 2 (3) (2003)
Ying Xie, Vijay V. Raghavan
A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic. RSFDGrC (2003)
Zonghuan Wu, Vijay V. Raghavan, Weiyi Meng, Hai He, Clement T. Yu, Chun Du
Creating Customized Metasearch Engines on Demand Using SE-LEGO. WAIM (2003)
Tom Johnsten, Robert B. Sweeney, Vijay V. Raghavan
A Methodology for Hiding Knowledge in XML Document Collections. COMPSAC (2003)
Zonghuan Wu, Vijay V. Raghavan, Hua Qian, Rama Vuyyuru, Weiyi Meng, Hai He, Clement T. Yu
Towards Automatic Incorporation of Search Engines into a Large-Scale Metasearch Engine. Web Intelligence (2003)
Tom Johnsten, Vijay V. Raghavan, Kevin Hill
On Security and Privacy Risks in Association Mining Algorithms. DBSec (2002)
Ying Xie, Vijay V. Raghavan, Xiaoquan Zhao
3M algorithm: finding an optimal fuzzy cluster scheme for proximity data. FUZZ-IEEE (2002)
Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan
Visualization of Document Co-Citation Counts. IV (2002)
Alaaeldin M. Hafez, Vijay V. Raghavan
A Matrix Approach for Association Mining. IS (2001)
Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu
Visualizing Association Mining Results through Hierarchical Clusters. ICDM (2001)
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Raghavan
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model. DaWaK (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vijay V. Raghavan