Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]