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ORCIDVijay Raghavan 0001
Vijay V. Raghavan 0001
Person information
- affiliation: University of Louisiana at Lafayette, Center for Advanced Computer Studies (CACS)
- affiliation: University of Regina, Department of Computer Science
Other persons with the same name
- Vijay Raghavan — disambiguation page
- Vijay Raghavan 0002 — Vanderbilt University, Department of Computer Science
- Vijay Raghavan 0003
![[0000-0003-1038-0038]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1038-0038")
(aka: Vijay V. Raghavan 0003) — Northern Kentucky University, Department of Business Informatics, KY, USA - Vijay Raghavan 0004 — Lisle Technology, Bangalore, India
- Vijay Raghavan 0005 — Mathworks Inc., Natick
- Vijay Raghavan 0006 — Red Brick Systems Inc., Los Gatos, USA
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2020 – today
- 2024
[j69]Tarikul I. Milon, Yuhong Wang, Ryan L. Fontenot, Poorya Khajouie, Francois Villinger, Vijay Raghavan, Wu Xu:
Development of a novel representation of drug 3D structures and enhancement of the TSR-based method for probing drug and target interactions. Comput. Biol. Chem. 112: 108117 (2024)- [c132]Mehedi Hassan, Mehmet Engin Tozal, Vipin Swarup, Steven Noel, Raju Gottumukkala, Vijay Raghavan:
Anomalous Link Detection in Dynamically Evolving Scale-Free-Like Networked Systems. SysCon 2024: 1-8 - 2023
- [j68]Titli Sarkar, Yuwu Chen, Yu Wang, Yixin Chen, Feng Chen, Camille R. Reaux, Laura E. Moore, Vijay Raghavan, Wu Xu:
Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family. Comput. Biol. Chem. 103: 107824 (2023) - [e9]Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 [contents] - 2022
- [j67]Mehedi Hassan, Md. Enamul Haque, Mehmet Engin Tozal, Vijay Raghavan, Rajeev Agrawal:
Intrusion Detection Using Payload Embeddings. IEEE Access 10: 4015-4030 (2022) - [e8]Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 [contents] - 2021
- [j66]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: 107479 (2021) - [j65]Linh Le, Ying Xie, Vijay Raghavan:
KNN Loss and Deep KNN. Fundam. Informaticae 182(2): 95-110 (2021) - [j64]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-View Learning to Rank. IEEE Trans. Knowl. Data Eng. 33(4): 1426-1438 (2021) - 2020
- [c131]Jing Chen, Yi He, Vijay Raghavan:
Learning with Partial Multi-Outlooks. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j63]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: 7691-7701 (2019) - [j62]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: 1-24 (2019) - [c130]Md. Enamul Haque, S. M. Zobaed, Mehmet Engin Tozal, Vijay Raghavan:
Divergence Based Non-Negative Matrix Factorization for top-N Recommendations. HICSS 2019: 1-10 - [c129]Satya Katragadda, Raju Gottumukkala, Siva R. Venna, Nicholas G. Lipari, Shailendra Gaikwad, Murali Pusala, Jian Chen, Christoph W. Borst, Vijay Raghavan, Magdy A. Bayoumi:
VAStream: A Visual Analytics System for Fast Data Streams. PEARC 2019: 76:1-76:8 - 2018
- [c128]Linh Le, Ying Xie, Vijay V. Raghavan:
Deep Similarity-Enhanced K Nearest Neighbors. IEEE BigData 2018: 2643-2650 - [c127]Satya Katragadda, Raju Gottumukkala, Murali Pusala, Vijay Raghavan, Jessica Wojtkiewicz:
Distributed Real Time Link Prediction on Graph Streams. IEEE BigData 2018: 2912-2917 - [c126]Murat Seçkin Ayhan, Vijay Raghavan:
Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data. BI 2018: 226-238 - [c125]Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan:
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN 2018: 1-8 - [i2]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-view Learning to Rank. CoRR abs/1801.10402 (2018) - 2017
- [j61]Vijay Raghavan:
Message from the Editor-in-Chief. IEEE Intell. Informatics Bull. 18(1): 1 (2017) - [j60]Miltiadis D. Lytras, Vijay Raghavan, Ernesto Damiani:
Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines. Int. J. Semantic Web Inf. Syst. 13(1): 1-10 (2017) - [c124]Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala:
Supervised approach to rank predicted links using interestingness measures. BIBM 2017: 1085-1092 - [c123]Sumi Singh, Wu Xu, Vijay V. Raghavan:
Descriptor based protein structure representation using triangular spatial relationships in 3-D. BIBM 2017: 1114-1118 - [c122]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: 2370-2379 - [c121]Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan:
Framework for Real-Time Event Detection using Multiple Social Media Sources. HICSS 2017: 1-10 - [c120]Muhammet Serkan Çinar, Burkay Genç, Hayri Sever, Vijay V. Raghavan:
Analyzing Structure of Terrorist Networks by Using Graph Metrics. ICBK 2017: 9-16 - [c119]Mohammad Amir Sharif, Vijay V. Raghavan:
Link prediction based hybrid recommendation system using user-page preference graphs. IJCNN 2017: 1147-1154 - [c118]Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan:
Sub-event detection from tweets. IJCNN 2017: 2128-2135 - [e7]Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3835-4 [contents] - [e6]Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3800-2 [contents] - [i1]Murat Seckin Ayhan, Vijay V. Raghavan:
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data. CoRR abs/1706.00856 (2017) - 2016
- [j59]Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan:
Renaissance in Database Management: Navigating the Landscape of Candidate Systems. Computer 49(4): 31-42 (2016) - [c117]Jason W. Woodworth, Mohsen Amini Salehi, Vijay Raghavan:
S3C: An architecture for space-efficient semantic search over encrypted data in the cloud. IEEE BigData 2016: 3722-3731 - [c116]Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan:
Detection of event onset using Twitter. IJCNN 2016: 1539-1546 - [c115]Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan:
An Ontology-Based Architecture for Providing Insights in Wireless Networks Domain. WI 2016: 473-478 - 2015
- [j58]Raju N. Gottumukkala, Siva R. Venna, Vijay Raghavan:
Visual Analytics of Time Evolving Large-scale Graphs. IEEE Intell. Informatics Bull. 16(1): 10-16 (2015) - [j57]Venkat N. Gudivada, Ricardo Baeza-Yates, Vijay V. Raghavan:
Big Data: Promises and Problems. Computer 48(3): 20-23 (2015) - [j56]Yuefeng Li, Vijay V. Raghavan:
Editorial. Web Intell. 13(3): 135 (2015) - [c114]Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton:
Detecting adverse drug effects using link classification on twitter data. BIBM 2015: 675-679 - [c113]Dhana Rao, Venkat N. Gudivada, Vijay V. Raghavan:
Data quality issues in big data. IEEE BigData 2015: 2654-2660 - [c112]Elshaimaa Ali, Vijay V. Raghavan:
Extending SKOS: A Wikipedia-Based Unified Annotation Model for Creating Interoperable Domain Ontologies. ISMIS 2015: 364-370 - 2014
- [c111]Satya Katragadda, Miao Jin, Vijay V. Raghavan:
An Unsupervised Approach to Identify Location Based on the Content of User's Tweet History. AMT 2014: 311-323 - [c110]Mohammad Amir Sharif, Vijay V. Raghavan:
A clustering based scalable hybrid approach for web page recommendation. IEEE BigData 2014: 80-87 - [c109]Mohammad Amir Sharif, Vijay V. Raghavan:
A Large-Scale, Hybrid Approach for Recommending Pages Based on Previous User Click Pattern and Content. ISMIS 2014: 103-112 - [c108]Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan:
NoSQL Systems for Big Data Management. SERVICES 2014: 190-197 - 2013
- [j55]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): 146-165 (2013) - [c107]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: 126-137 - [c106]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: 266-276 - [c105]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: 15-25 - [c104]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: 298-306 - [e5]Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Benjamin W. Wah, Ricardo Baeza-Yates, Geoffrey C. Fox, Cyrus Shahabi, Matthew Smith, Qiang Yang, Rayid Ghani, Wei Fan, Ronny Lempel, Raghunath Nambiar:
2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA. IEEE Computer Society 2013, ISBN 978-1-4799-1292-6 [contents] - 2012
- [j54]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special issue on advances in web intelligence. Neurocomputing 76(1): 48-49 (2012) - [c103]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: 265-272 - [c102]Ying Xie, Vijay V. Raghavan:
A random walk model based approach for quantifying technology emergence and impact for research articles. GrC 2012: 553-555 - [c101]Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan:
Weighted Fuzzy Aggregation for Metasearch: An Application of Choquet Integral. IPMU (1) 2012: 501-510 - [c100]Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan:
Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS 2012: 51-60 - [c99]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: 61-70 - [c98]Ying Xie, Jonathan Fisher, Vijay V. Raghavan, Tom Johnsten, Can Akkoç:
Granular Approach for Protein Sequence Analysis. RSCTC 2012: 414-421 - 2011
- [j53]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): 35-36 (2011) - [j52]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): 107-122 (2011) - [c97]Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan, Ashish Gupta:
Supervised Link Discovery on Large-Scale Biomedical Concept Networks. BIBM 2011: 562-568 - [c96]Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten:
FAARM: Frequent Association Action Rules Mining Using FP-Tree. ICDM Workshops 2011: 398-404 - 2010
- [j51]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): 16-28 (2010) - [c95]Dheerendranath Mundluru, Vijay V. Raghavan, Zonghuan Wu:
Automatically Extracting Web Data Records. AMT 2010: 510-521 - [c94]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: 516-519 - [c93]Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie:
Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. GrC 2010: 414-419 - [c92]Oguz Aslanturk, Ebru Akcapinar Sezer, Hayri Sever, Vijay V. Raghavan:
Application of Cascading Rough Set-Based Classifiers on Authorship Attribution. GrC 2010: 656-660 - [c91]Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan:
Search Engine Result Aggregation Using Analytical Hierarchy Process. Web Intelligence/IAT Workshops 2010: 300-303 - [c90]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: 304-308 - [e4]Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Jerzy W. Grzymala-Busse, Qing Liu, Andrei Z. Broder:
2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4161-7 [contents] - [e3]Jimmy Xiangji Huang, Irwin King, Vijay V. Raghavan, Stefan M. Rüger:
2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010, Toronto, Canada, August 31 - September 3, 2010, Main Conference Proceedings. IEEE Computer Society 2010, ISBN 978-0-7695-4191-4 [contents]
2000 – 2009
- 2009
- [j50]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): 190-202 (2009) - [c89]Jayasimha Reddy Katukuri, Ying Xie, Vijay V. Raghavan:
Biomedical Relationship Extraction from Literature Based on Bio-semantic Token Subsequences. BIBM 2009: 366-370 - [c88]Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie:
An efficient algorithm for discovering positive and negative patterns. GrC 2009: 507-512 - [c87]Kemal Efe, Vijay V. Raghavan, Suresh K. Choubey:
Simulation Modeling Movable Hospital Assets Managed with RFID Sensors. WSC 2009: 2054-2064 - 2008
- [j49]Jingtao Yao, Vijay V. Raghavan, Zonghuan Wu:
Web information fusion. Inf. Fusion 9(4): 444-445 (2008) - [j48]Jingtao Yao, Vijay V. Raghavan, Zonghuan Wu:
Web information fusion: A review of the state of the art. Inf. Fusion 9(4): 446-449 (2008) - [c86]Ying Xie, Vijay V. Raghavan, Andrew Young:
Hyper-Textual Language Model for Web Information Retrieval. GrC 2008: 68-73 - [p4]Ying Xie, Jayasimha Reddy Katukuri, Vijay V. Raghavan, Tony Presti:
Conceptual Biology Research Supporting Platform: Current Design and Future Directions. Applications of Computational Intelligence in Biology 2008: 307-324 - 2007
- [j47]Ying Xie, Vijay V. Raghavan:
Language-modeling kernel based approach for information retrieval. J. Assoc. Inf. Sci. Technol. 58(14): 2353-2365 (2007) - [c85]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: 65700L - [c84]Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan:
On Fuzzy Result Merging for Metasearch. FUZZ-IEEE 2007: 1-6 - [c83]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: 401-410 - [c82]Arijit De, Elizabeth D. Diaz, Vijay V. Raghavan:
A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch. RSFDGrC 2007: 95-102 - [c81]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: 1017-1028 - [c80]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: 1113-1115 - 2006
- [j46]Jongpill Choi, Minkoo Kim, Vijay V. Raghavan:
Adaptive relevance feedback method of extended Boolean model using hierarchical clustering techniques. Inf. Process. Manag. 42(2): 331-349 (2006) - [j45]Youjin Chang, Minkoo Kim, Vijay V. Raghavan:
Construction of query concepts based on feature clustering of documents. Inf. Retr. 9(3): 231-248 (2006) - [j44]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): 1694-1707 (2006) - [c79]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: 443-452 - [c78]Ying Xie, Manmathasivaram Nagarajan, Vijay V. Raghavan, Hisham Haddad:
On Novelty Evaluation of Potentially Useful Patterns. DMIN 2006: 211-217 - [c77]Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran:
On discovering "potentially useful" patterns from databases. GrC 2006: 494-497 - [c76]Anca Doloc-Mihu, Vijay V. Raghavan:
Score Distribution Approach to Automatic Kernel Selection for Image Retrieval Systems. ISMIS 2006: 238-247 - 2005
- [j43]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): 109-124 (2005) - [c75]Ying Xie, Dheerendranath Mundluru, Vijay V. Raghavan:
Incorporating agent based neural network model for adaptive meta-search. ACM Southeast Regional Conference (1) 2005: 53-58 - [c74]Karthik Ramachandran, Biren Shah, Vijay V. Raghavan:
Dynamic Pre-fetching of Views Based on User-Access Patterns in an OLAP System. ICEIS (1) 2005: 60-67 - [c73]Elizabeth D. Diaz, Arijit De, Vijay V. Raghavan:
A Comprehensive OWA-Based Framework for Result Merging in Metasearch. RSFDGrC (2) 2005: 193-201 - [c72]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: 382- - [c71]Hongkun Zhao, Weiyi Meng, Zonghuan Wu, Vijay V. Raghavan, Clement T. Yu:
Fully automatic wrapper generation for search engines. WWW 2005: 66-75 - [p3]Ying Xie, Vijay V. Raghavan:
A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases. Foundations of Data Mining and knowledge Discovery 2005: 87-100 - 2004
- [c70]Jamal R. Alsabbagh, Vijay V. Raghavan:
A Model for Multiple-Query Processing Based upon Strong Factoring. ITCC (1) 2004: 528-533 - [c69]Biren Shah, Vijay V. Raghavan, Praveen Dhatric:
Efficient and Effective Content-Based Image Retrieval using Space Transformation. MMM 2004: 279-284 - [c68]Ying Xie, Vijay V. Raghavan:
GAMInG - A Framework for Generalization of Association Mining via Information Granulation. Rough Sets and Current Trends in Computing 2004: 198-203 - [c67]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: 274-284 - [c66]Hayri Sever, Zafer Bolat, Vijay V. Raghavan:
Use of Preference Relation for Text Categorization. Rough Sets and Current Trends in Computing 2004: 708-713 - [c65]Elizabeth D. Diaz, Arijit De, Vijay V. Raghavan:
On Selective Result Merging in a Metasearch Enviroment. Workshop on Web-based Support Systems 2004: 52-59 - [c64]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: 81-87 - [c63]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: 111-118 - [c62]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: 171-178 - [e2]Jingtao Yao, Vijay V. Raghavan, G. Y. Wang:
Proceedings of the 2nd International Workshop on Web-based Support Systems, September 20, 2004, Beijing, China. Saint Mary's University, Canada 2004, ISBN 0-9734039-6-9 [contents] - [r1]Vijay V. Raghavan, William I. Grosky, Zonghuan Wu, Venkat N. Gudivada:
Information Retrieval. The Practical Handbook of Internet Computing 2004 - 2003
- [j42]Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan:
Co-Citation count vs correlation for influence network visualization. Inf. Vis. 2(3): 160-170 (2003) - [j41]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): 1522-1534 (2003) - [c61]Tom Johnsten, Robert B. Sweeney, Vijay V. Raghavan:
A Methodology for Hiding Knowledge in XML Document Collections. COMPSAC 2003: 627-631 - [c60]Jitender S. Deogun, Liying Jiang, Ying Xie, Vijay V. Raghavan:
Probability Logic Modeling of Knowledge Discovery in Databases. ISMIS 2003: 402-407 - [c59]Biren Shah, Vijay V. Raghavan:
Space Transformation Based Approach for Effective Content-Based Image Retrieval. ISMIS 2003: 501-505 - [c58]Ying Xie, Vijay V. Raghavan:
A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic. RSFDGrC 2003: 541-548 - [c57]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: 464 - [c56]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: 503-505 - [c55]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: 658-661 - [c54]Abhilash Gummadi, Jong P. Yoon, Biren Shah, Vijay V. Raghavan:
A bitmap-based access control for restricted views of XML documents. XML Security 2003: 60-68 - [p2]Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu:
Document Clustering, Visualization, and Retrieval Link Mining. Clustering and Information Retrieval 2003: 161-194 - 2002
- [c53]Tom Johnsten, Vijay V. Raghavan, Kevin Hill:
On Security and Privacy Risks in Association Mining Algorithms. DBSec 2002: 163-174 - [c52]Ying Xie, Vijay V. Raghavan, Xiaoquan Zhao:
3M algorithm: finding an optimal fuzzy cluster scheme for proximity data. FUZZ-IEEE 2002: 627-632 - [c51]Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan:
Visualization of Document Co-Citation Counts. IV 2002: 691-696 - 2001
- [j40]Minkoo Kim, Jitender S. Deogun, Vijay V. Raghavan:
Concept Based Retrieval Using Generalized Retrieval Functions. Fundam. Informaticae 47(1-2): 119-135 (2001) - [j39]Jong P. Yoon, Vijay V. Raghavan, Venu Chakilam, Larry Kerschberg:
BitCube: A Three-Dimensional Bitmap Indexing for XML Documents. J. Intell. Inf. Syst. 17(2-3): 241-254 (2001) - [c50]Alaaeldin M. Hafez, Vijay V. Raghavan:
A Matrix Approach for Association Mining. IS 2001: 104-108 - [c49]Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Raghavan:
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model. DaWaK 2001: 21-30 - [c48]Tom Johnsten, Vijay V. Raghavan:
Security Procedures for Classification Mining Algorithms. DBSec 2001: 285-297 - [c47]Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu:
Visualizing Association Mining Results through Hierarchical Clusters. ICDM 2001: 425-432 - [c46]Wael M. Badawy, Vijay V. Raghavan:
Interface the 'Abridged Bayou State Periodical Index' with a Web-Based Search Engine. OOIS 2001: 291-299 - [c45]Jong P. Yoon, Vijay V. Raghavan, Venu Chakilam:
BitCube: A Three-Dimensional Bitmap Indexing for XML Documents. SSDBM 2001: 158-167 - 2000
- [j38]Ali H. Alsaffar, Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever:
Enhancing Concept-Based Retrieval Based on Minimal Term Sets. J. Intell. Inf. Syst. 14(2-3): 155-173 (2000) - [c44]Vijay V. Raghavan, Aladdin Hafez:
Dynamic Data Mining. IEA/AIE 2000: 220-229 - [c43]Minkoo Kim, Ali H. Alsaffar, Jitender S. Deogun, Vijay V. Raghavan:
On Modeling of Concept Based Retrieval in Generalized Vector Spaces. ISMIS 2000: 453-462 - [c42]Minkoo Kim, Fenghua Lu, Vijay V. Raghavan:
Automatic Construction of Rule-Based Trees for Conceptual Retrieval. SPIRE 2000: 153-161 - [c41]Jong P. Yoon, Vijay V. Raghavan:
Multi-level Schema Extraction for Heterogenous Semi-structured Data. Web-Age Information Management 2000: 411-422
1990 – 1999
- 1999
- [j37]Nasser Tadayon, Vijay V. Raghavan:
Improving Perceptron Convergence Algorithm for retrieval systems. Pattern Recognit. Lett. 20(11-13): 1331-1336 (1999) - [c40]Aladdin Hafez, Jitender S. Deogun, Vijay V. Raghavan:
The Item-Set Tree: A Data Structure for Data Mining. DaWaK 1999: 183-192 - [c39]Tom Johnsten, Vijay V. Raghavan:
Impact of Decision-Region Based Classification Mining Algorithms on Database Security. DBSec 1999: 177-191 - [c38]Ali H. Alsaffar, Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever:
Concept Based Retrieval by Minimal Term Sets. ISMIS 1999: 114-122 - 1998
- [j36]Vijay V. Raghavan, Jitender S. Deogun, Hayri Sever:
Introduction (Special Topic Issue: Knowledge Discovery and Data Mining). J. Am. Soc. Inf. Sci. 49(5): 397-402 (1998) - [j35]Jitender S. Deogun, Suresh K. Choubey, Vijay V. Raghavan, Hayri Sever:
Feature Selection and Effective Classifiers. J. Am. Soc. Inf. Sci. 49(5): 423-434 (1998) - [j34]Peter Bollmann-Sdorra, Vijay V. Raghavan:
On the Necessity of Term Dependence in a Query Space for Weighted Retrieval. J. Am. Soc. Inf. Sci. 49(13): 1161-1168 (1998) - [c37]Jitender S. Deogun, Hayri Sever, Vijay V. Raghavan:
Structural Abstractions of Hypertext Documents for Web-Based Retrieval. DEXA Workshop 1998: 385-390 - 1997
- [j33]Jay N. Bhuyan, Jitender S. Deogun, Vijay V. Raghavan:
Algorithms for the Boundary Selection Problem. Algorithmica 17(2): 133-161 (1997) - [j32]Venkat N. Gudivada, Vijay V. Raghavan, William I. Grosky, Rajesh Kasanagottu:
Information Retrieval on the World Wide Web. IEEE Internet Comput. 1(5): 58-68 (1997) - [j31]Venkat N. Gudivada, Vijay V. Raghavan:
Modeling and retrieving images by content. Inf. Process. Manag. 33(4): 427-452 (1997) - [j30]Suresh K. Choubey, Vijay V. Raghavan:
Generic and fully automatic content-based image retrieval using color. Pattern Recognit. Lett. 18(11-13): 1233-1240 (1997) - [c36]Suresh K. Choubey, Vijay V. Raghavan:
Generic and Fully Automatic Content-Based Image Retrieval Architecture. ISMIS 1997: 360-369 - 1996
- [j29]Vijay V. Raghavan:
Measurement in Information Science, by Bert R. Boyce, Charles T. Meadow, and Donald H. Kraft. J. Am. Soc. Inf. Sci. 47(3): 257-258 (1996) - [p1]Venkat N. Gudivada, Vijay V. Raghavan, Kanonkluk Vanapipat:
A Unified Approach to Data Modeling and Retrieval for a Class of Image Database Applications. Multimedia Database System: Issues and Research Direction 1996: 37-78 - 1995
- [j28]Venkat N. Gudivada, Vijay V. Raghavan:
Content-Based Image Retrieval Systems - Guest Editors' Introduction. Computer 28(9): 18-22 (1995) - [j27]Niki Pissinou, Vijay V. Raghavan, Kanonkluk Vanapipat:
RIMM: A Reactive Integration Multidatabase Model. Informatica (Slovenia) 19(2) (1995) - [j26]Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan:
Conceptual Query Formulation and Retrieval. J. Intell. Inf. Syst. 5(3): 183-209 (1995) - [j25]Venkat N. Gudivada, Vijay V. Raghavan:
Design and Evaluation of Algorithms for Image Retrieval by Spatial Similarity. ACM Trans. Inf. Syst. 13(2): 115-144 (1995) - [c35]Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever:
Exploiting Upper Approximation in the Rough Set Methodology. KDD 1995: 69-74 - [c34]Kanonkluk Vanapipat, Niki Pissinou, Vijay V. Raghavan:
A Dynamic Framework to Actively Support Interoperability in Multidatabase Systems. RIDE-DOM 1995: 148-153 - [c33]Vijay V. Raghavan, Hayri Sever:
On the Reuse of Past Optimal Queries. SIGIR 1995: 344-350 - 1994
- [c32]Jamal R. Alsabbagh, Vijay V. Raghavan:
Analysis of Common Subexpression Exploitation Models in Multiple-Query Processing. ICDE 1994: 488-497 - [c31]Subhada K. Mishra, Vijay V. Raghavan:
Design Issues in Randomized Branch and Bound Algorithms: A Study of Graph Partitioning. IFIP Congress (1) 1994: 276-281 - [c30]Venkat N. Gudivada, Vijay V. Raghavan:
A System for Retrieving Images by Content. RIAO 1994: 418-436 - 1993
- [j24]Peter Bollmann-Sdorra, Vijay V. Raghavan:
On the Delusiveness of Adopting a Common Space for Modeling IR Objects: Are Queries Documents. J. Am. Soc. Inf. Sci. 44(10): 579-587 (1993) - [c29]Vijay V. Raghavan, Hayri Sever, Jitender S. Deogun:
A System Architecture for Database Mining Applications. RSKD 1993: 82-89 - 1992
- [j23]Peter Bollmann, Vijay V. Raghavan, Gwang S. Jung:
On Probabilistic Notions of Precision as a Function of Recall. Inf. Process. Manag. 28(3): 291-316 (1992) - [c28]Jamal R. Alsabbagh, Vijay V. Raghavan:
A framework for Multiple-Query Optimization. RIDE-TQP 1992: 157-162 - 1991
- [j22]Subhada K. Mishra, Vijay V. Raghavan, Nian-Feng Tzeng:
Efficient Algorithms For Selection of Recovery Points in Tree Task Models. IEEE Trans. Software Eng. 17(7): 731-734 (1991) - [c27]Jay N. Bhuyan, Vijay V. Raghavan, Venkatesh K. Elayavalli:
Genetic Algorithm for Clustering with an Ordered Representation. ICGA 1991: 408-415 - [c26]Jay N. Bhuyan, Vijay V. Raghavan:
A Probabilistic Retrieval Scheme for Cluster-based Adaptive Information Retrieval. ML 1991: 240-244 - [c25]Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan:
Query Formulation Through Knowledge Acquisition. ML 1991: 250-254 - [c24]Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan:
User Profiles for Information Retrieval. ISMIS 1991: 102-111 - [c23]Jitender S. Deogun, Vijay V. Raghavan:
UNL/USL: MUC-3 test results and analysis. MUC 1991: 120-121 - [c22]Jitender S. Deogun, Vijay V. Raghavan:
Description of the UNL/USL system used for MUC-3. MUC 1991: 234-242 - [c21]Vijay V. Raghavan, V. Naidu Gudivada:
Discovery of conceptual categories in an image database. RIAO 1991: 902-915 - [c20]Yong Zhang, Vijay V. Raghavan, Jitender S. Deogun:
An Object-Oriented Modelling of the History of Optimal Retrievals. SIGIR 1991: 241-250 - [e1]Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan:
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum). ACM 1991, ISBN 0-89791-448-1 [contents] - 1990
- [j21]Lawrence V. Saxton, Vijay V. Raghavan:
Design of an Integrated Information Retrieval/Database Management System. IEEE Trans. Knowl. Data Eng. 2(2): 210-219 (1990)
1980 – 1989
- 1989
- [j20]S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong:
Extended Boolean query processing in the generalized vector space model. Inf. Syst. 14(1): 47-63 (1989) - [j19]Vijay V. Raghavan:
From the Editor. SIGIR Forum 23(1-2): 1 (1989) - [j18]Vijay V. Raghavan, Gwang S. Jung, Peter Bollmann:
A Critical Investigation of Recall and Precision as Measures of Retrieval System Performance. ACM Trans. Inf. Syst. 7(3): 205-229 (1989) - [c19]Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan:
Formation of Categories in Document Classification Systems. Great Lakes Computer Science Conference 1989: 91-97 - [c18]Jay N. Bhuyan, Jitender S. Deogun, Vijay V. Raghavan:
Near-Optimal Algorithms for the Boundary Selection Problem in User-Oriented Information Retrieval. IFIP Congress 1989: 275-280 - [c17]Vijay V. Raghavan, Peter Bollmann, Gwang S. Jung:
Retrieval System Evaluation Using Recall and Precision: Problems and Answers. SIGIR 1989: 59-68 - 1988
- [j17]Jitender S. Deogun, Vijay V. Raghavan:
Integration of information retrieval and database management systems. Inf. Process. Manag. 24(3): 303-313 (1988) - [c16]Peter Bollmann, Vijay V. Raghavan:
A Utility-Theoretic Analysis of Expected Search Length. SIGIR 1988: 245-256 - 1987
- [j16]S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong:
On Modeling of Information Retrieval Concepts in Vector Space. ACM Trans. Database Syst. 12(2): 299-321 (1987) - [c15]Vijay V. Raghavan, Lawrence V. Saxton:
Conceptual Design for an integrated Information Retrieval/Data Base Management System. BTW 1987: 443-447 - [c14]Vijay V. Raghavan, Brijesh Agarwal:
Optimal Determination of User-Oriented Clusters: An Application for the Reproductive Plan. ICGA 1987: 241-246 - [c13]Vijay V. Raghavan, Jitender S. Deogun:
Optimal Determination of User-Oriented Clusters. SIGIR 1987: 140-146 - [c12]Vijay V. Raghavan, M. Gordon, Robert R. Korfhage, Clement T. Yu:
Models of IR (Panel). SIGIR 1987: 147 - 1986
- [j15]Vijay V. Raghavan, S. K. Michael Wong:
A critical analysis of vector space model for information retrieval. J. Am. Soc. Inf. Sci. 37(5): 279-287 (1986) - [j14]Vijay V. Raghavan:
Report on SIGIR Business Meeting. SIGIR Forum 19(1-4): 1 (1986) - [j13]Vijay V. Raghavan:
From the Editor. SIGIR Forum 19(1-4): 2 (1986) - [j12]Vijay V. Raghavan:
Abstracts Selected from Recent Issues of Journals in the Retrieval Area. SIGIR Forum 19(1-4): 25-31 (1986) - [j11]Gerard Salton, Vijay V. Raghavan:
Abstracts Selected from 1983 Issues of Journals in the Retreival Area. SIGIR Forum 19(1-4): 36-48 (1986) - [j10]Vijay V. Raghavan:
From the Editor. SIGIR Forum 20(1-4): 1 (1986) - [j9]Gerard Salton, Vijay V. Raghavan:
Abstracts Selected from 1984 Issues of Journals in the Retrieval Area. SIGIR Forum 20(1-4): 30-42 (1986) - [c11]Vijay V. Raghavan, Lawrence V. Saxton, S. K. Michael Wong, S. S. Ting:
A Unified Architecture for the Integration of Data Base Management and Information Retrieval Systems. IFIP Congress 1986: 1049-1054 - [c10]Jitender S. Deogun, Vijay V. Raghavan:
User-Oriented Document Clustering: A Framework for Learning in Information Retrieval. SIGIR 1986: 157-163 - [c9]S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong:
On Extending the Vector Space Model for Boolean Query Processing. SIGIR 1986: 175-185 - 1985
- [j8]Vijay V. Raghavan:
Workshop Report, University of Regina, June 10-11, 1985. SIGIR Forum 18(2-4): 17 (1985) - [c8]Jitender S. Deogun, Vijay V. Raghavan:
Integration of information retrieval and database management systems. RIAO 1985: 627-644 - 1984
- [j7]Jitender S. Deogun, Vijay V. Raghavan, Thomas K. W. Tsou:
Organization of Clustered Files for Consecutive Retrieval. ACM Trans. Database Syst. 9(4): 646-671 (1984) - [c7]S. K. Michael Wong, Vijay V. Raghavan:
Vector Space Model of Information Retrieval - A Reevaluation. SIGIR 1984: 167-185 - 1983
- [j6]Maggie Y. L. Ip, Lawrence V. Saxton, Vijay V. Raghavan:
On the Selection of an Optimal Set of Indexes. IEEE Trans. Software Eng. 9(2): 135-143 (1983) - [c6]Thomas K. W. Tsou, Lawrence V. Saxton, Vijay V. Raghavan, Jitender S. Deogun:
Consecutive Retrieval with Redundancy Organization of Clustered Files. IFIP Congress 1983: 533-537 - [c5]Vijay V. Raghavan, Hong-Pao Shi, Clement T. Yu:
Evaluation of The 2-Poisson Model as a Basis for Using Term Frequency Data in Searching. SIGIR 1983: 88-100 - 1982
- [j5]Vijay V. Raghavan:
Approaches for Measuring the Stability of Clustering Methods. SIGIR Forum 17(1): 6-20 (1982) - [c4]Vijay V. Raghavan, Maggie Y. L. Ip:
Techniques for Measuring the Stability of Clustering: A Comparative Study. SIGIR 1982: 209-237 - 1981
- [j4]Vijay V. Raghavan, Clement T. Yu:
A Comparison of the Stability Characteristics of Some Graph Theoretic Clustering Methods. IEEE Trans. Pattern Anal. Mach. Intell. 3(4): 393-402 (1981) - [c3]Jitender S. Deogun, Vijay V. Raghavan:
Query Directed Partitioning Scheme for Securing Statistical Databases. SSDBM 1981: 285-293
1970 – 1979
- 1979
- [j3]Vijay V. Raghavan, Clement T. Yu:
Experiments on the Determination of the Relationships Between Terms. ACM Trans. Database Syst. 4(2): 240-260 (1979) - [c2]Vijay V. Raghavan, Kim Birchard:
A Clustering Strategy Based on a Formalism of the Reproductive Process in Natural Systems. SIGIR 1979: 10-22 - 1978
- [c1]Clement T. Yu, Vijay V. Raghavan:
Experiments on the Determination of the Reltionships Between Terms. SIGIR 1978: 150 - 1977
- [j2]Vijay V. Raghavan, Clement T. Yu:
A Note on a Multidimensional Searching Problem. Inf. Process. Lett. 6(4): 133-135 (1977) - [j1]Clement T. Yu, Vijay V. Raghavan:
Single-pass method for determining the semantic relationships between terms. J. Am. Soc. Inf. Sci. 28(6): 345-354 (1977)
Coauthor Index
Ryan G. Benton
aka: Ryan Benton
aka: Ryan Benton
Raju N. Gottumukkala
aka: Raju Gottumukkala
aka: Raju Gottumukkala
Venkat N. Gudivada
aka: V. Naidu Gudivada
aka: V. Naidu Gudivada
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