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ORCIDChetan Gupta 0001
Person information
- affiliation: Hitachi America Ltd, Santa Clara, CA, USA
- affiliation (former): Hewlett-Packard Labs., Palo Alto, CA, USA
- affiliation (former): University Of Illinois, Chicago, IL, USA
Other persons with the same name
- Chetan Gupta — disambiguation page
- Chetan Gupta 0002
![[0000-0002-0727-160X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0727-160X")
— Aalto University, Helsinki, Finland (and 1 more)
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2020 – today
- 2024
[i27]Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
Predictive Analysis for Optimizing Port Operations. CoRR abs/2401.14498 (2024)- [i26]Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta:
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance. CoRR abs/2403.00975 (2024) - [i25]Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta:
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CoRR abs/2409.18435 (2024) - 2023
- [j6]Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat:
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. 185: 109631 (2023) - [c67]Ibrahim El Shar, Haiyan Wang, Chetan Gupta:
Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization. CASE 2023: 1-7 - [c66]Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta:
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops 2023: 4375-4384 - [c65]Takuya Kanazawa, Chetan Gupta:
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. ICANN (6) 2023: 63-76 - [c64]Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta:
An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM 2023: 172-179 - [i24]Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
A Functional approach for Two Way Dimension Reduction in Time Series. CoRR abs/2301.00357 (2023) - [i23]Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly:
CDA: Contrastive-adversarial Domain Adaptation. CoRR abs/2301.03826 (2023) - [i22]Takuya Kanazawa, Chetan Gupta:
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. CoRR abs/2303.08909 (2023) - [i21]Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta:
An ensemble of convolution-based methods for fault detection using vibration signals. CoRR abs/2305.05532 (2023) - [i20]Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Robert Ellis, Chetan Gupta:
Optimal Load Shedding for Public Safety Power Shutoffs. CoRR abs/2311.07569 (2023) - 2022
- [j5]Takahiro Ogura, Haiyan Wang, Qiyao Wang, Atsuki Kiuchi, Chetan Gupta, Naoshi Uchihira:
Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(9): 1348-1357 (2022) - [c63]Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
Functional approach for Two Way Dimension Reduction in Time Series. IEEE Big Data 2022: 1099-1106 - [c62]Ibrahim El Shar, Wenhuan Sun, Haiyan Wang, Chetan Gupta:
Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization. CASE 2022: 1385-1391 - [c61]Takuya Kanazawa, Chetan Gupta:
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. IJCCI 2022: 292-304 - [c60]Takuya Kanazawa, Haiyan Wang, Chetan Gupta:
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. IJCNN 2022: 1-10 - [c59]Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar:
Enabling Product Circularity Through Big Data Analytics and Digitalization. MWSCAS 2022: 1-6 - [i19]Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. CoRR abs/2201.07092 (2022) - [i18]Takuya Kanazawa, Haiyan Wang, Chetan Gupta:
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. CoRR abs/2207.13730 (2022) - [i17]Takuya Kanazawa, Chetan Gupta:
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. CoRR abs/2209.08418 (2022) - 2021
- [j4]Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng:
Deep time series models for scarce data. Neurocomputing 456: 504-518 (2021) - [c58]Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. IEEE BigData 2021: 3883-3889 - [c57]Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, Adriano S. Arantes, Hamed Khorosgani, Mahbubul Alam, Gregory Sin, Chetan Gupta:
Guided Visual Inspection enabled by AI-based Detection Models. ICPHM 2021: 1-8 - [c56]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. INDIN 2021: 1-8 - [c55]Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - [i16]Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng:
Deep Time Series Models for Scarce Data. CoRR abs/2103.09348 (2021) - [i15]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. CoRR abs/2109.13463 (2021) - [i14]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat:
An Offline Deep Reinforcement Learning for Maintenance Decision-Making. CoRR abs/2109.15050 (2021) - [i13]Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta:
Data-driven Residual Generation for Early Fault Detection with Limited Data. CoRR abs/2110.15385 (2021) - 2020
- [c54]Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. IEEE BigData 2020: 232-239 - [c53]Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. IEEE BigData 2020: 1436-1441 - [c52]Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, Takaharu Matsui, Susumu Serita, Chi Zhang:
Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management. CASE 2020: 418-425 - [c51]Satoshi Nagahara, Susumu Serita, Yuma Shiho, Shuai Zheng, Haiyan Wang, Takafumi Chida, Chetan Gupta:
Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log. CASE 2020: 1096-1101 - [c50]Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. DSAA 2020: 81-89 - [c49]Shuai Zheng, Chetan Gupta:
Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification. ICASSP 2020: 3067-3071 - [c48]Shuai Zheng, Chetan Gupta:
Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction. ICASSP 2020: 3187-3191 - [c47]Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. ICPHM 2020: 1-8 - [c46]Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang:
Health Indicator Forecasting for Improving Remaining Useful Life Estimation. ICPHM 2020: 1-8 - [c45]Chetan Gupta, Ahmed K. Farahat:
Deep Learning for Industrial AI: Challenges, New Methods and Best Practices. KDD 2020: 3571-3572 - [c44]Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS 2020 - [i12]Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. CoRR abs/2001.00100 (2020) - [i11]Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang:
Health Indicator Forecasting for Improving Remaining Useful Life Estimation. CoRR abs/2006.03729 (2020) - [i10]Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. CoRR abs/2008.10713 (2020) - [i9]Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. CoRR abs/2009.05665 (2020) - [i8]Hamed Khorasgani, Haiyan Wang, Chetan Gupta:
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. CoRR abs/2011.05570 (2020) - [i7]Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR abs/2011.06796 (2020) - [i6]Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. CoRR abs/2011.12378 (2020)
2010 – 2019
- 2019
- [c43]Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. IEEE BigData 2019: 1506-1516 - [c42]Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao:
Risk-Based Dynamic Pricing via Failure Prediction. ICMLA 2019: 140-147 - [c41]Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng:
Evaluation of Event Impact on Key Performance Indicators. ICMLA 2019: 726-733 - [c40]Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta:
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM 2019: 1-7 - [c39]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. ICPHM 2019: 1-8 - [c38]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta:
Multilayer Perceptron for Sparse Functional Data. IJCNN 2019: 1-10 - [c37]Shuai Zheng, Ahmed K. Farahat, Chetan Gupta:
Generative Adversarial Networks for Failure Prediction. ECML/PKDD (3) 2019: 621-637 - [c36]Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching Using Reinforcement and Transfer Learning. ECML/PKDD (3) 2019: 655-671 - [i5]Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. CoRR abs/1904.06442 (2019) - [i4]Shuai Zheng, Ahmed K. Farahat, Chetan Gupta:
Generative Adversarial Networks for Failure Prediction. CoRR abs/1910.02034 (2019) - [i3]Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching using Reinforcement and Transfer Learning. CoRR abs/1910.02035 (2019) - [i2]Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. CoRR abs/1912.10158 (2019) - 2018
- [c35]Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta:
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. IEEE BigData 2018: 1308-1317 - [c34]Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta:
What Maintenance is Worth the Money? A Data-Driven Answer. INDIN 2018: 284-291 - [c33]Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh:
Equipment Health Indicator Learning Using Deep Reinforcement Learning. ECML/PKDD (3) 2018: 488-504 - [i1]Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta:
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. CoRR abs/1812.07142 (2018) - 2017
- [c32]Shuai Zheng, Kosta Ristovski, Ahmed K. Farahat, Chetan Gupta:
Long Short-Term Memory Network for Remaining Useful Life estimation. ICPHM 2017: 88-95 - [c31]Kosta Ristovski, Chetan Gupta, Kunihiko Harada, Hsiu-Khuern Tang:
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines. KDD 2017: 1981-1989 - 2015
- [j3]Bei Pan, Ugur Demiryurek, Chetan Gupta, Cyrus Shahabi:
Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems. Knowl. Inf. Syst. 45(1): 75-104 (2015) - 2014
- [c30]Umeshwar Dayal, Chetan Gupta, Ravigopal Vennelakanti, Marcos R. Vieira, Song Wang:
An Approach to Benchmarking Industrial Big Data Applications. WBDB 2014: 45-60 - 2013
- [c29]Medhabi Ray, Elke A. Rundensteiner, Mo Liu, Chetan Gupta, Song Wang, Ismail Ari:
High-performance complex event processing using continuous sliding views. EDBT 2013: 525-536 - [c28]Bei Pan, Ugur Demiryurek, Cyrus Shahabi, Chetan Gupta:
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks. ICDM 2013: 587-596 - 2012
- [j2]Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal, Miguel Durazo:
A platform for situational awareness in operational BI. Decis. Support Syst. 52(4): 869-883 (2012) - [c27]Mo Liu, Medhabi Ray, Dazhi Zhang, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari:
Realtime healthcare services via nested complex event processing technology. EDBT 2012: 622-625 - [c26]Umeshwar Dayal, Chetan Gupta, Malú Castellanos, Song Wang, Manolo García-Solaco:
Of Cubes, DAGs and Hierarchical Correlations: A Novel Conceptual Model for Analyzing Social Media Data. ER 2012: 30-49 - [c25]Chetan Gupta:
Event correlation for operations management of largescale IT systems. ICAC 2012: 91-96 - [c24]Mahalia Miller, Chetan Gupta:
Mining traffic incidents to forecast impact. UrbComp@KDD 2012: 33-40 - [c23]Alkis Simitsis, Chetan Gupta, Kevin Wilkinson, Umeshwar Dayal:
Optimizing Flows for Real Time Operations Management. SSDBM 2012: 607-612 - [e1]Varun Chandola, Ranga Raju Vatsavai, Chetan Gupta:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2012, Redondo Beach, CA, USA, November 6, 2012. ACM 2012, ISBN 978-1-4503-1692-7 [contents] - 2011
- [c22]Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming C. Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil Doddmani:
An Application of Sensor and Streaming Analytics to Oil Production. COMAD 2011: 114-121 - [c21]Chetan Gupta, Umeshwar Dayal, Song Wang, Abhay Mehta:
Live BI: A Framework for Real Time Operations Management. DNIS 2011: 270-285 - [c20]Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta:
High-performance nested CEP query processing over event streams. ICDE 2011: 123-134 - [c19]Medhabi Ray, Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Abhay Mehta, Ismail Ari:
Optimizing complex sequence pattern extraction using caching. ICDE Workshops 2011: 243-248 - [c18]Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta:
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. SIGMOD Conference 2011: 889-900 - 2010
- [c17]Mo Liu, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta:
NEEL: The Nested Complex Event Language for Real-Time Event Analytics. BIRTE 2010: 116-132 - [c16]Mo Liu, Medhabi Ray, Elke A. Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta:
Processing nested complex sequence pattern queries over event streams. DMSN 2010: 14-19 - [c15]Malú Castellanos, Umeshwar Dayal, Song Wang, Chetan Gupta:
Information Extraction, Real-Time Processing and DW2.0 in Operational Business Intelligence. DNIS 2010: 33-45 - [c14]Malú Castellanos, Chetan Gupta, Song Wang, Umeshwar Dayal:
Leveraging web streams for contractual situational awareness in operational BI. EDBT/ICDT Workshops 2010 - [c13]Alkis Simitsis, Chetan Gupta, Song Wang, Umeshwar Dayal:
Partitioning real-time ETL workflows. ICDE Workshops 2010: 159-162 - [c12]Chetan Gupta, Choudur Lakshminarayan, Song Wang, Abhay Mehta:
Non-dyadic Haar wavelets for streaming and sensor data. ICDE 2010: 569-580 - [c11]Mo Liu, Elke A. Rundensteiner, Kara Greenfield, Chetan Gupta, Song Wang, Ismail Ari, Abhay Mehta:
E-Cube: Multi-dimensional event sequence processing using concept and pattern hierarchies. ICDE 2010: 1097-1100 - [c10]Malú Castellanos, Song Wang, Umeshwar Dayal, Chetan Gupta:
SIE-OBI: a streaming information extraction platform for operational business intelligence. SIGMOD Conference 2010: 1105-1110
2000 – 2009
- 2009
- [c9]Song Wang, Chetan Gupta, Abhay Mehta:
VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans. BIRTE 2009: 32-49 - [c8]Chetan Gupta, Abhay Mehta, Song Wang, Umeshwar Dayal:
Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse. EDBT 2009: 696-707 - [c7]Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal:
rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses. ICDE 2009: 1455-1458 - [c6]Chetan Gupta, Song Wang, Umeshwar Dayal, Abhay Mehta:
Classification with Unknown Classes. SSDBM 2009: 479-496 - [c5]Chetan Gupta, Song Wang, Ismail Ari, Ming C. Hao, Umeshwar Dayal, Abhay Mehta, Manish Marwah, Ratnesh K. Sharma:
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications. CEC 2009: 33-40 - 2008
- [j1]Abhay Mehta, Chetan Gupta, Song Wang, Umeshwar Dayal:
Automatic Workload Management for Enterprise Data Warehouses. IEEE Data Eng. Bull. 31(1): 11-19 (2008) - [c4]Abhay Mehta, Chetan Gupta, Umeshwar Dayal:
BI batch manager: a system for managing batch workloads on enterprise data-warehouses. EDBT 2008: 640-651 - [c3]Chetan Gupta, Abhay Mehta, Umeshwar Dayal:
PQR: Predicting Query Execution Times for Autonomous Workload Management. ICAC 2008: 13-22 - 2007
- [c2]Chetan Gupta, Robert L. Grossman:
Outlier Detection with Streaming Dyadic Decomposition. ICDM 2007: 77-91 - 2004
- [c1]Chetan Gupta, Robert L. Grossman:
GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. SDM 2004: 147-153
Coauthor Index
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