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Vandana Pursnani Janeja
Vandana P. Janeja
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- affiliation: University of Maryland, Baltimore, MD, USA
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2020 – today
- 2025
- [j29]Chhaya Kulkarni
, Bayu Adhi Tama
Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 1362-1375 (2025) - [c61]Michael MacFerrin
Engaging K-12 Learners in Data Annotation for AI Climate Models. SIGCSE (2) 2025: 1529-1530 - [i13]Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja:
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies. CoRR abs/2502.07741 (2025) - [i12]Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem:
Building Machine Learning Challenges for Anomaly Detection in Science. CoRR abs/2503.02112 (2025) - 2024
- [j28]Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana P. Janeja
Discovery of multi-domain spatiotemporal associations. GeoInformatica 28(3): 353-379 (2024) - [j27]Christine Mallinson
A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration. Lang. Linguistics Compass 18(5) (2024) - [c60]Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang:
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. IEEE Big Data 2024: 4374-4383 - [c59]Maloy Kumar Devnath
CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent. SIGSPATIAL/GIS 2024: 282-292 - [c58]Chhaya Kulkarni
Interactive Assessment of Variances of High-Resolution Model Features in Digital Twin Simulations. SIGSPATIAL/GIS 2024: 685-688 - [c57]Akila Sampath, Omar Faruque, Azim Khan, Vandana P. Janeja, Jianwu Wang:
Physics-Informed Machine Learning for Sea Ice Thickness Prediction. ICKG 2024: 325-333 - [c56]Rohan Putatunda, Sanjay Purushotham, Vandana P. Janeja:
SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. ICMLA 2024: 575-582 - [c55]Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. IGARSS 2024: 7572-7575 - [c54]Tolulope Ale, Vandana P. Janeja, Nicole-Jeanne Schlegel:
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. IGARSS 2024: 8692-8696 - [c53]Vandana P. Janeja
Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts. SIGCSE (1) 2024: 576-582 - [c52]Noshaba Nasir Bhalli
Effects of Prior Academic Experience in Introductory Level Data Science Course. SIGCSE (2) 2024: 1576-1577 - [i11]Saydeh N. Karabatis, Vandana P. Janeja:
Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora. CoRR abs/2405.06129 (2024) - [i10]Saydeh N. Karabatis, Vandana P. Janeja:
Creating Geospatial Trajectories from Human Trafficking Text Corpora. CoRR abs/2405.06130 (2024) - [i9]Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR abs/2407.09535 (2024) - [i8]Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja:
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. CoRR abs/2407.10042 (2024) - [i7]Zahra Khanjani, Tolulope Ale, Jianwu Wang, Lavon Davis, Christine Mallinson, Vandana P. Janeja:
Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features. CoRR abs/2409.06033 (2024) - [i6]Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang:
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. CoRR abs/2409.12590 (2024) - [i5]Zahra Khanjani, Christine Mallinson, James R. Foulds, Vandana P. Janeja:
ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection. CoRR abs/2410.15577 (2024) - [i4]Vandana P. Janeja, Christine Mallinson:
Toward Transdisciplinary Approaches to Audio Deepfake Discernment. CoRR abs/2411.05969 (2024) - [i3]Noshaba Nasir Bhalli, Nehal Naqvi, Chloe Evered, Christine Mallinson, Vandana P. Janeja:
Listening for Expert Identified Linguistic Features: Assessment of Audio Deepfake Discernment among Undergraduate Students. CoRR abs/2411.14586 (2024) - 2023
- [c51]Atefeh Jebeli
TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. IGARSS 2023: 56-59 - [c50]Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel
Metrics for the Quality and Consistency of Ice Layer Annotations. IGARSS 2023: 4935-4938 - [c49]Chhaya Kulkarni, Vandana P. Janeja, Nicole-Jeanne Schlegel:
Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet. IGARSS 2023: 6736-6739 - [c48]Zahra Khanjani, Lavon Davis, Anna Tuz, Kifekachukwu Nwosu, Christine Mallinson, Vandana P. Janeja:
Learning to Listen and Listening to Learn: Spoofed Audio Detection Through Linguistic Data Augmentation. ISI 2023: 1-6 - 2022
- [j26]Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
Audio deepfakes: A survey. Frontiers Big Data 5 (2022) - [j25]Prerna Mohod, Vandana P. Janeja
Density-Based Spatial Anomalous Window Discovery. Int. J. Data Warehous. Min. 18(1): 1-23 (2022) - [c47]Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James R. Foulds, Vandana P. Janeja:
Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS 2022: 4654-4657 - 2021
- [j24]Faisal Quader, Vandana P. Janeja
Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies. J. Cybersecur. Priv. 1(4): 638-659 (2021) - [p2]Chhaya Kulkarni, Sandipan Dey, Vandana P. Janeja:
Discovery of Robust Distributions of COVID-19 Spread. Use of AI, Robotics, and Modern Tools to Fight Covid-19 2021: 89-110 - [i2]Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey. CoRR abs/2111.14203 (2021) - [i1]Gabrielle Watson, Zahra Khanjani, Vandana P. Janeja:
Audio Deepfake Perceptions in College Going Populations. CoRR abs/2112.03351 (2021) - 2020
- [j23]James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li:
Blockchains for Government: Use Cases and Challenges. Digit. Gov. Res. Pract. 1(3): 22:1-22:21 (2020) - [j22]Vandana P. Janeja
Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis. Int. J. Data Warehous. Min. 16(4): 63-83 (2020) - [j21]Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:
Data Science for Earth: An Earth Day Report. SIGKDD Explor. 22(1): 4-7 (2020) - [j20]Henanksha Sainani, Josephine M. Namayanja
IP Reputation Scoring with Geo-Contextual Feature Augmentation. ACM Trans. Manag. Inf. Syst. 11(4): 26:1-26:29 (2020)
2010 – 2019
- 2019
- [j19]Josephine M. Namayanja, Vandana P. Janeja
Change Detection in Large Evolving Networks. Int. J. Data Warehous. Min. 15(2): 62-79 (2019) - [c46]Mohammad Alodadi
Linking Knowledge Discovery In Clinical Notes And Massive Biomedical Literature Repositories. BIBM 2019: 1174-1176 - [c45]Mohammad Alodadi
Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records. BIBM 2019: 2620-2627 - [c44]Abu Zaher Md Faridee, Vandana P. Janeja:
Measuring Peer Mentoring Effectiveness in Computing Courses: A Case Study in Data Analytics for Cybersecurity. HiPC Workshops 2019: 71-77 - [c43]Javad Zabihi, Vandana P. Janeja:
DeepNet: A Deep Learning Architecture for Network-Based Anomaly Detection. OTM Workshops 2019: 229-238 - [c42]Faisal Quader, Vandana P. Janeja:
Anomaly Detection: Under the [data] Hood in Smart Cars. SMARTCOMP 2019: 126-131 - 2018
- [j18]Vandana P. Janeja, Jay Gholap, Prathamesh Walkikar, Yelena Yesha, Naphtali Rishe
Collaborative data mining for clinical trial analytics. Intell. Data Anal. 22(3): 491-513 (2018) - [c41]Vandana P. Janeja, Abu Zaher Md Faridee, Aryya Gangopadhyay, Carolyn B. Seaman, Amy Everhart:
Enhancing Interest in Cybersecurity Careers: A Peer Mentoring Perspective. SIGCSE 2018: 384-389 - 2017
- [c40]Prathamesh Walkikar, Vandana P. Janeja:
PhenomenaAssociater: Linking Multi-domain Spatio-Temporal Datasets. DASFAA (2) 2017: 672-676 - [c39]Ali Azari, Vandana P. Janeja, Scott Levin
MILES: multiclass imbalanced learning in ensembles through selective sampling. SAC 2017: 811-816 - [r3]Vandana P. Janeja, Nabil R. Adam:
Homeland Security and Spatial Data Mining. Encyclopedia of GIS 2017: 859-866 - [r2]Lei Shi, Vandana P. Janeja:
Linear-Shaped Scan Statistic. Encyclopedia of GIS 2017: 1123-1129 - 2016
- [c38]Vasundhara Misal, Vandana P. Janeja, Sai C. Pallaprolu, Yelena Yesha, Raghu Chintalapati:
Iterative unified clustering in big data. IEEE BigData 2016: 3412-3421 - [c37]Sai C. Pallaprolu, Josephine M. Namayanja, Vandana P. Janeja, C. T. Sai Adithya:
Label propagation in big data to detect remote access Trojans. IEEE BigData 2016: 3539-3547 - [c36]Vandana P. Janeja, Carolyn B. Seaman, Kerrie Kephart, Aryya Gangopadhyay, Amy Everhart:
Cybersecurity workforce development: A peer mentoring approach. ISI 2016: 267-272 - 2015
- [j17]Ruman Tambe, George Karabatis, Vandana P. Janeja:
Context aware discovery in web data through anomaly detection. Int. J. Web Eng. Technol. 10(1): 3-30 (2015) - [j16]Lei Shi, Aryya Gangopadhyay, Vandana P. Janeja:
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery. Knowl. Inf. Syst. 43(2): 333-353 (2015) - [c35]Anuja Kench, Vandana P. Janeja, Amanda Niskar, Yelena Yesha, Naphtali Rishe:
Clinico-genomic Decision Support System for Precision Diagnostics and Management. AMIA 2015 - [c34]Ali Azari, Vandana P. Janeja, Scott Levin
Imbalanced learning to predict long stay Emergency Department patients. BIBM 2015: 807-814 - [c33]Jay Gholap, Vandana P. Janeja, Yelena Yesha, Raghu Chintalapati, Harsh Marwaha, Kunal Modi:
Collaborative data mining for clinical trial analytics. BIBM 2015: 1063-1069 - [c32]Akshay Grover, Jay Gholap, Vandana P. Janeja, Yelena Yesha, Raghu Chintalapati, Harsh Marwaha, Kunal Modi:
SQL-like big data environments: Case study in clinical trial analytics. IEEE BigData 2015: 2680-2689 - [c31]Jay Gholap, Vandana P. Janeja, Yelena Yesha:
Unified framework for clinical data analytics (U-CDA). IEEE BigData 2015: 2939-2941 - [c30]Yuanyuan Feng, Vandana Pursnani Janeja, Yelena Yesha, Naphtali Rishe
Poster: Classifying primary outcomes in rheumatoid arthritis: Knowledge discovery from clinical trial metadata. ICCABS 2015: 1-2 - [c29]Anuja Kench, Vandana P. Janeja, Yelena Yesha, Naphtali Rishe
Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management. ICHI 2015: 263-271 - [c28]Mohammad Alodadi
Similarity in Patient Support Forums Using TF-IDF and Cosine Similarity Metrics. ICHI 2015: 521-522 - [c27]Faisal Quader, Vandana Pursnani Janeja, Justin Stauffer:
Persistent threat pattern discovery. ISI 2015: 179-181 - [c26]Josephine M. Namayanja, Vandana Pursnani Janeja:
Change detection in evolving computer networks: Changes in densification and diameter over time. ISI 2015: 185-187 - 2014
- [j15]Michael P. McGuire
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets. Data Min. Knowl. Discov. 28(4): 961-1003 (2014) - [j14]Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Discovery of temporal neighborhoods through discretization methods. Intell. Data Anal. 18(4): 609-636 (2014) - [j13]Song Chen, Vandana P. Janeja:
Human perspective to anomaly detection for cybersecurity. J. Intell. Inf. Syst. 42(1): 133-153 (2014) - [c25]Vandana Pursnani Janeja, Ali Azari, Josephine M. Namayanja, Brian Heilig:
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System. IEEE BigData 2014: 32-34 - [c24]Josephine M. Namayanja, Vandana Pursnani Janeja:
Change detection in temporally evolving computer networks: A big data framework. IEEE BigData 2014: 54-61 - [c23]Yelena Yesha, Vandana Pursnani Janeja, Naphtali Rishe
Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics. ICHI 2014: 376 - 2013
- [j12]Lei Shi, Vandana Pursnani Janeja
Discovery of Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic (RMSS). Int. J. Data Warehous. Min. 9(1): 28-55 (2013) - [j11]Michael P. McGuire
Mining sensor datasets with spatiotemporal neighborhoods. J. Spatial Inf. Sci. 6(1): 1-42 (2013) - [j10]Vandana Pursnani Janeja, Revathi Palanisamy:
Multi-domain anomaly detection in spatial datasets. Knowl. Inf. Syst. 36(3): 749-788 (2013) - [c22]Josephine M. Namayanja, Vandana Pursnani Janeja:
Discovery of persistent threat structures through temporal and geo-spatial characterization in evolving networks. ISI 2013: 191-196 - 2012
- [j9]Ali Azari, Vandana Pursnani Janeja
Healthcare Data Mining: Predicting Hospital Length of Stay (PHLOS). Int. J. Knowl. Discov. Bioinform. 3(3): 44-66 (2012) - [c21]Michael P. McGuire
Exploring multivariate spatio-temporal change in climate data using image analysis techniques. COM.Geo 2012: 13 - [c20]Yanan Sun, Vandana Pursnani Janeja, Michael P. McGuire
TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks. ICDE Workshops 2012: 331-336 - [c19]Ali Azari, Vandana Pursnani Janeja, Alex Mohseni:
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach. ICDM Workshops 2012: 17-24 - 2011
- [j8]Josephine M. Namayanja, Vandana Pursnani Janeja
Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome. Int. J. Comput. Model. Algorithms Medicine 2(1): 38-59 (2011) - [j7]David M. Lewis, Vandana Pursnani Janeja
An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. Int. J. Data Warehous. Min. 7(2): 44-66 (2011) - [j6]Vandana Pursnani Janeja, Aryya Gangopadhyay, Seyed H. Mohammadi, Revathi Palanisamy:
Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics. Stat. Anal. Data Min. 4(3): 276-300 (2011) - [j5]Lei Shi, Vandana Pursnani Janeja:
Anomalous Window Discovery for Linear Intersecting Paths. IEEE Trans. Knowl. Data Eng. 23(12): 1857-1871 (2011) - [c18]Michael P. McGuire
Characterizing sensor datasets with multi-granular spatio-temporal intervals. GIS 2011: 449-452 - 2010
- [j4]Vandana Pursnani Janeja, Nabil R. Adam, Vijayalakshmi Atluri
Spatial neighborhood based anomaly detection in sensor datasets. Data Min. Knowl. Discov. 20(2): 221-258 (2010)
2000 – 2009
- 2009
- [j3]Vandana Pursnani Janeja, Vijayalakshmi Atluri
Spatial outlier detection in heterogeneous neighborhoods. Intell. Data Anal. 13(1): 85-107 (2009) - [j2]George Karabatis, Zhiyuan Chen, Vandana Pursnani Janeja, Tania Lobo, Monish Advani, Mikael Lindvall, Raimund L. Feldmann:
Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts. J. Data Semant. 14: 74-104 (2009) - [c17]Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Temporal Neighborhood Discovery Using Markov Models. ICDM 2009: 110-119 - [c16]Lei Shi, Vandana Pursnani Janeja:
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP). KDD 2009: 767-776 - [c15]Mikael Lindvall, Raimund L. Feldmann, George Karabatis, Zhiyuan Chen, Vandana Pursnani Janeja:
Searching for relevant software change artifacts using semantic networks. SAC 2009: 496-500 - [c14]Seyed H. Mohammadi, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Discretized Spatio-Temporal Scan Window. SDM 2009: 1197-1208 - 2008
- [j1]Vandana Pursnani Janeja, Vijayalakshmi Atluri
Random Walks to Identify Anomalous Free-Form Spatial Scan Windows. IEEE Trans. Knowl. Data Eng. 20(10): 1378-1392 (2008) - [c13]Michael P. McGuire
Spatiotemporal Neighborhood Discovery for Sensor Data. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 203-225 - [p1]Nabil R. Adam, Vandana P. Janeja, Aabhas V. Paliwal, Vijay Atluri, Soon Ae Chun, Jim Cooper, John Paczkowski, Christof Bornhövd, Joachim Schaper:
Semantics-Based Threat Structure Mining for Homeland Security. Digital Government 2008: 307-329 - [r1]Vandana Pursnani Janeja, Nabil R. Adam:
Homeland Security and Spatial Data Mining. Encyclopedia of GIS 2008: 434-440 - 2007
- [c12]Nabil R. Adam, Vandana Pursnani Janeja, Aabhas V. Paliwal, Basit Shafiq, Cédric Ulmer, Volker Gersabeck, Anne Hardy, Christof Bornhövd, Joachim Schaper:
Approach for Discovering and Handling Crisis in a Service-Oriented Environment. ISI 2007: 16-24 - 2006
- [c11]Nabil R. Adam, Vijayalakshmi Atluri
Secure interoperation for effective data mining in border control and homeland security applications. DG.O 2006: 124-125 - [c10]Nabil R. Adam, Vijayalakshmi Atluri
Semantics-based threat structure mining. DG.O 2006: 367-368 - 2005
- [c9]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Ahmed Gomaa, Nabil R. Adam, Christof Bornhövd, Tao Lin:
DM-AMS: employing data mining techniques for alert management. DG.O 2005: 103-111 - [c8]Nabil R. Adam, Vijayalakshmi Atluri, Rey Koslowski, Vandana Pursnani Janeja, Janice Warner, Aabhas V. Paliwal:
Agency interoperation for effective data mining in border control and homeland security applications. DG.O 2005: 285-286 - [c7]Vandana Pursnani Janeja, Vijayalakshmi Atluri
FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection. ICDM 2005: 661-664 - [c6]Vandana Pursnani Janeja, Vijayalakshmi Atluri
Collusion Set Detection Through Outlier Discovery. ISI 2005: 1-13 - [c5]Vandana Pursnani Janeja, Vijayalakshmi Atluri
LS3: a Linear Semantic Scan Statistic technique for detecting anomalous windows. SAC 2005: 493-497 - 2004
- [c4]Nabil R. Adam, Vijayalakshmi Atluri, Vandana Pursnani Janeja:
Agency Interoperation for Effective Data Mining in Border Control and Homeland Security Applications. DG.O 2004 - [c3]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Nabil R. Adam:
Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations. DG.O 2004 - [c2]Nabil R. Adam, Vandana Pursnani Janeja, Vijayalakshmi Atluri
Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets. SAC 2004: 576-583 - 2002
- [c1]Vandana Pursnani Janeja, Vijayalakshmi Atluri, Nabil R. Adam:
OUTLAW: Using Geo-Spatial Associations for Outlier Detection and Visual Analysisof Cargo Routes. DG.O 2002
Coauthor Index
Vijayalakshmi Atluri
aka: Vijay Atluri
aka: Vijay Atluri
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