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Anirban Mondal
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2020 – today
- 2024
- [c62]Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania:
A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. PAKDD (1) 2024: 340-352 - 2023
- [j24]Shadaab Siddiqie
, Anirban Mondal, P. Krishna Reddy:
An improved dummy generation approach for infeasible regions. Appl. Intell. 53(15): 18700-18714 (2023) - [j23]Anirban Mondal, Raghav Mittal, Samant Saurabh, Parul Chaudhary
An inventory-aware and revenue-based itemset placement framework for retail stores. Expert Syst. Appl. 216: 119404 (2023) - [c61]Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. PAKDD (1) 2023: 276-288 - 2022
- [j22]Anirban Mondal, Raghav Mittal, Parul Chaudhary, Krishna Reddy Polepalli:
A framework for itemset placement with diversification for retail businesses. Appl. Intell. 52(12): 14541-14559 (2022) - [j21]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
A framework for discovering popular paths using transactional modeling and pattern mining. Distributed Parallel Databases 40(1): 109-133 (2022) - [j20]A. Srinivas Reddy
Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. 13(2): 105-121 (2022) - [j19]Pulong Ma
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments. Technometrics 64(1): 65-79 (2022) - [j18]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
A Pattern Mining Framework for Improving Billboard Advertising Revenue. Trans. Large Scale Data Knowl. Centered Syst. 52: 127-147 (2022) - [c60]Mamatha Alugubelly, Krishna Reddy Polepalli, Anirban Mondal, S. G. Mahadevappa, Balaji Naik Banoth, Gade Sreenivas:
Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study. BDA 2022: 260-278 - [c59]N. Chandra Shekar, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, Girish Agrawal
Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences. DASFAA (Workshops) 2022: 402-416 - [c58]Girish Agrawal
Visualizing Spatio-temporal Variation of Ambient Air Pollution in Four Small Towns in India. DASFAA (Workshops) 2022: 417-436 - [c57]Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Market Segmentation Aware Retail Itemset Placement Framework. DEXA (1) 2022: 273-286 - [e7]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13245, Springer 2022, ISBN 978-3-031-00122-2 [contents] - [e6]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13246, Springer 2022, ISBN 978-3-031-00125-3 [contents] - [e5]Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13247, Springer 2022, ISBN 978-3-031-00128-4 [contents] - 2021
- [j17]Anirban Mondal, Samant Saurabh, Parul Chaudhary
A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining. IEEE Access 9: 155207-155223 (2021) - [j16]Anirban Mondal, Ayaan Kakkar, Nilesh Padhariya, Mukesh K. Mohania:
Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged Entities. Data Sci. Eng. 6(4): 411-433 (2021) - [j15]Komallapalli Kaushik, P. Krishna Reddy, Anirban Mondal, Akhil Ralla:
An incremental framework to extract coverage patterns for dynamic databases. Int. J. Data Sci. Anal. 12(3): 273-291 (2021) - [j14]Maria V. Vasilyeva
Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique. J. Comput. Appl. Math. 392: 113420 (2021) - [j13]Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez:
Special Issue on Smart Applications and Data Analysis for Smart Cyber-Physical Systems. J. Syst. Archit. 121: 102305 (2021) - [j12]Jonathan Hobbs
Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations. Remote. Sens. 13(4): 571 (2021) - [c56]Preetham Sathineni, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal:
An Efficient Distributed Coverage Pattern Mining Algorithm. BDA 2021: 322-340 - [c55]Shadaab Siddiqie, Anirban Mondal, P. Krishna Reddy:
An Improved Dummy Generation Approach for Enhancing User Location Privacy. DASFAA (3) 2021: 487-495 - [c54]Raghav Mittal, Anirban Mondal, Parul Chaudhary, P. Krishna Reddy:
An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores. DEXA (2) 2021: 51-57 - [c53]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining. DEXA (1) 2021: 112-118 - [c52]Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy:
PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. DSAA 2021: 1-10 - [c51]A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar:
A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC 2021: 21-30 - [i4]Kai Yin, Anirban Mondal:
Bayesian Uncertainty Quantification of Local Volatility Model. CoRR abs/2105.10210 (2021) - 2020
- [j11]Samant Saurabh
An analytical model for information gathering and propagation in social networks using random graphs. Data Knowl. Eng. 129: 101852 (2020) - [j10]Parul Chaudhary
An improved scheme for determining top-revenue itemsets for placement in retail businesses. Int. J. Data Sci. Anal. 10(4): 359-375 (2020) - [c50]Pooja Gaur, P. Krishna Reddy, Mittapally Kumara Swamy
A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses. BDA 2020: 289-307 - [c49]Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal:
Coverage Pattern Mining Based on MapReduce. COMAD/CODS 2020: 209-213 - [c48]Chinmay Bapna, Krishna Reddy Polepalli, Anirban Mondal:
Improving Product Placement in Retail with Generalized High-Utility Itemsets. DSAA 2020: 60-69 - [c47]Shadaab Siddiqie, Akhil Ralla, P. Krishna Reddy, Anirban Mondal:
Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout. ICDCN 2020: 50:1-50:6 - [c46]Anirban Mondal, Nilesh Padhariya, Mukesh K. Mohania:
Towards Efficient Retrieval of Top-k Entities in Systems of Engagement. WISE (2) 2020: 52-67 - [e4]Ladjel Bellatreche, Vikram Goyal, Hamido Fujita, Anirban Mondal, P. Krishna Reddy:
Big Data Analytics - 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020, Proceedings. Lecture Notes in Computer Science 12581, Springer 2020, ISBN 978-3-030-66664-4 [contents] - [e3]Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez:
Smart Applications and Data Analysis - Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25-26, 2020, Proceedings. Communications in Computer and Information Science 1207, Springer 2020, ISBN 978-3-030-45182-0 [contents] - [i3]Maria V. Vasilyeva, Aleksei Tyrylgin, Donald L. Brown, Anirban Mondal:
Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique. CoRR abs/2007.00066 (2020)
2010 – 2019
- 2019
- [j9]Lakshmi Gangumalla, P. Krishna Reddy, Anirban Mondal:
Multi-location visibility query processing using portion-based transactional modeling and pattern mining. Data Min. Knowl. Discov. 33(5): 1393-1416 (2019) - [c45]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores. DEXA (1) 2019: 287-303 - [c44]P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal:
Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. DEXA (1) 2019: 327-337 - [c43]Akhil Ralla, P. Krishna Reddy, Anirban Mondal:
An Incremental Technique for Mining Coverage Patterns in Large Databases. DSAA 2019: 211-220 - 2018
- [c42]Anirban Mondal, Atul Singh:
Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective. BDA 2018: 126-136 - [c41]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses. DEXA (1) 2018: 103-118 - [p1]Anirban Mondal, Praveen Rao, Sanjay Kumar Madria:
Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities. Handbook of Smart Cities, Software Services and Cyber Infrastructure 2018: 81-113 - [e2]Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu:
Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings. Lecture Notes in Computer Science 11297, Springer 2018, ISBN 978-3-030-04779-5 [contents] - 2017
- [j8]Nilesh Padhariya, Anirban Mondal, Sanjay Madria, Masaru Kitsuregawa:
Economic Incentive Schemes for Improving Availability of Rare Data in Mobile-P2P Networks. Int. J. Next Gener. Comput. 8(1) (2017) - [c40]Alugubelly Mamatha
A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. BDA 2017: 40-58 - [c39]Parul Chaudhary, Anirban Mondal, Krishna Reddy Polepalli:
A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes. BDA 2017: 257-277 - 2016
- [j7]Nilesh Padhariya, Anirban Mondal, Sanjay Kumar Madria:
Top-k query processing in mobile-P2P networks using economic incentive schemes. Peer-to-Peer Netw. Appl. 9(4): 731-751 (2016) - [c38]Anirban Mondal, Praveen Rao, Sanjay Kumar Madria:
Mobile Computing, Internet of Things, and Big Data for Urban Informatics. MDM (Workshops) 2016: 8-11 - [c37]Gurulingesh Raravi, Anirban Mondal, Thangaraj Rajasubramaniam, Atul Singh:
MobiHerd: Towards Enabling Cost-Effective and Scalable Mobile Group Buying. MDM 2016: 28-33 - [c36]Nilesh Padhariya, Anirban Mondal, Sanjay Kumar Madria:
Efficient Processing of Mobile Crowdsourcing Queries with Multiple Sub-tasks for Facilitating Smart Cities. IWSC@Middleware 2016: 8:1-8:6 - 2015
- [c35]Anirban Mondal, Gurulingesh Raravi, Amandeep Chugh, Tridib Mukherjee:
LoRUS: A Mobile Crowdsourcing System for Efficiently Retrieving the Top-k Relevant Users in a Spatial Window. HCOMP 2015: 24-25 - [c34]Anirban Mondal, Tridib Mukherjee, Amandeep Chugh, Atul Singh, Deepthi Chander:
Efficient and Scalable Spatial Retrieval of Resident Involvement Information in City Events. MDM (1) 2015: 157-166 - [c33]Tridib Mukherjee, Amit Kumar, Deepthi Chander, Koustuv Dasgupta, Amandeep Chugh, Anirban Mondal:
Performance characterization and scalable design of sensing-as-a-service platform. SAC 2015: 592-595 - 2014
- [j6]Anirban Mondal
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model. Technometrics 56(3): 381-392 (2014) - [c32]Sanjay Kumar Madria, Anirban Mondal, Tridib Mukherjee:
Dynamic Content and Route Management in Wireless Networks. MDM (2) 2014: 7-10 - [c31]Nilesh Padhariya, Ouri Wolfson
E-VeT: Economic Reward/Penalty-Based System for Vehicular Traffic Management. MDM (1) 2014: 99-102 - [c30]Tridib Mukherjee, Deepthi Chander, Anirban Mondal, Koustuv Dasgupta, Amit Kumar, Ashwin Venkat:
CityZen: A Cost-Effective City Management System with Incentive-Driven Resident Engagement. MDM (1) 2014: 289-296 - [c29]Anirban Mondal, Avinash Sharma, Kuldeep Yadav, Abhishek Tripathi, Atul Singh, Nischal M. Piratla:
RoadEye: A System for Personalized Retrieval of Dynamic Road Conditions. MDM (1) 2014: 297-304 - [c28]Tridib Mukherjee, Amit Kumar, Deepthi Chander, Koustuv Dasgupta, Amandeep Chugh, Anirban Mondal:
Benchmark based performance characterization and scalable design of sensing-as-a-service platform. Middleware (Posters & Demos) 2014: 27-28 - [c27]Anirban Mondal, Atul Singh, Nimmi Rangaswamy, Tridib Mukherjee, Deepthi Chander:
CitR: a scalable system for quick spatial retrieval of resident involvement information for smarter cities. Middleware (Posters & Demos) 2014: 33-34 - 2013
- [j5]Nilesh Padhariya, Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
Economic incentive-based brokerage schemes for improving data availability in mobile-P2P networks. Comput. Commun. 36(8): 861-874 (2013) - [c26]Anirban Mondal:
The Role of Incentive-Based Crowd-Driven Data Collection in Big Data Analytics: A Perspective. BDA 2013: 86-96 - [e1]Tridib Mukherjee, Anirban Mondal:
Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing, MCS 2013, Beijing, China, December 9-13, 2013. ACM 2013, ISBN 978-1-4503-2554-7 [contents] - 2012
- [c25]Sanjay Kumar Madria, Anirban Mondal:
Crowdsourcing: Dynamic Data Management in Mobile P2P Networks. MDM 2012: 364-367 - 2011
- [c24]Nilesh Padhariya, Anirban Mondal, Vikram Goyal, Roshan Shankar, Sanjay Kumar Madria:
EcoTop: An Economic Model for Dynamic Processing of Top-k Queries in Mobile-P2P Networks. DASFAA (2) 2011: 251-265 - 2010
- [j4]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
E-ARL: An Economic incentive scheme for Adaptive Revenue-Load-based dynamic replication of data in Mobile-P2P networks. Distributed Parallel Databases 28(1): 1-31 (2010) - [j3]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
Improving data availability via an economic lease model in mobile-P2P networks. Int. J. Comput. Sci. Eng. 5(3/4): 243-253 (2010) - [j2]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
A Collaborative Replication Approach for Mobile-P2P Networks. Int. J. Handheld Comput. Res. 1(2): 75-97 (2010) - [c23]Anirban Mondal, Kuldeep Yadav, Sanjay Kumar Madria:
EcoBroker: An Economic Incentive-Based Brokerage Model for Efficiently Handling Multiple-Item Queries to Improve Data Availability via Replication in Mobile-P2P Networks. DNIS 2010: 274-283
2000 – 2009
- 2009
- [j1]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
An economic incentive model for encouraging peer collaboration in mobile-P2P networks with support for constraint queries. Peer-to-Peer Netw. Appl. 2(3): 230-251 (2009) - [c22]Dongxiang Zhang, Yeow Meng Chee
Keyword Search in Spatial Databases: Towards Searching by Document. ICDE 2009: 688-699 - [c21]Ashish Sureka, Vikram Goyal, Denzil Correa, Anirban Mondal:
Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base. RSFDGrC 2009: 486-493 - 2008
- [c20]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
EcoRare: An Economic Incentive Scheme for Efficient Rare Data Accessibility in Mobile-P2P Networks. DEXA 2008: 196-209 - [c19]Sanjay Kumar Madria, Anirban Mondal:
Economic-based Incentive Schemes for Dynamic Data Management in Mobile P2P Computing. MDM 2008: 228 - 2007
- [c18]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
ABIDE: A Bid-Based Economic Incentive Model for Enticing Non-cooperative Peers in Mobile-P2P Networks. DASFAA 2007: 703-714 - [c17]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
Research issues and overview of economic models in Mobile-P2P networks. DEXA Workshops 2007: 809-813 - [c16]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
LEASE: An Economic Approach to Leasing Data Items in Mobile-P2P Networks to Improve Data Availability. DNIS 2007: 222-231 - [c15]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
ConQuer: A Peer Group-Based Incentive Model for Constraint Querying in Mobile-P2P Networks. MDM 2007: 134-139 - 2006
- [c14]Anirban Mondal, Sanjay Madria, Masaru Kitsuregawa:
EcoRep: An Economic Model for efficient dynamic replication in Mobile-P2P networks. COMAD 2006: 116-127 - [c13]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
CLEAR: An Efficient Context and Location-Based Dynamic Replication Scheme for Mobile-P2P Networks. DEXA 2006: 399-408 - [c12]Anirban Mondal, Masaru Kitsuregawa:
Privacy, Security and Trust in P2P environments: A Perspective. DEXA Workshops 2006: 682-686 - [c11]Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsuregawa:
CADRE: A Collaborative replica allocation and deallocation approach for Mobile-P2P networks. IDEAS 2006: 21-28 - [i2]Peter A. Boncz, Angela Bonifati, Joos-Hendrik Böse, Stefan Böttcher, Panos K. Chrysanthis
06431 Working Group Summary: P2P, Ad Hoc and Sensor Networks - All the Different or All the Same?. Scalable Data Management in Evolving Networks 2006 - [i1]Sebastian Obermeier, Joos-Hendrik Böse, Stefan Böttcher, Panos K. Chrysanthis
06431 Working Group Summary: Atomicity in Mobile Networks. Scalable Data Management in Evolving Networks 2006 - 2005
- [c10]Anirban Mondal, Pankaj Garg, Masaru Kitsuregawa:
DataBank: A Blueprint for efficient privacy-preserving personalized user data management worldwide. COMAD (b) 2005 - [c9]Bin Cui
On Effective E-mail Classification via Neural Networks. DEXA 2005: 85-94 - [c8]Anirban Mondal, Masaru Kitsuregawa:
Effective Dynamic Replication in Wide-Area Network Environments: A Perspective. DEXA Workshops 2005: 287-291 - [c7]Anirban Mondal, Anthony K. H. Tung
kNR-tree: a novel R-tree-based index for facilitating spatial window queries on any k relations among N spatial relations in mobile environments. Mobile Data Management 2005: 173-177 - 2004
- [c6]Anirban Mondal, Yi Lifu, Masaru Kitsuregawa:
On Improving the Performance Dependability of Unstructured P2P Systems via Replication. DEXA 2004: 601-610 - [c5]Anirban Mondal, Yi Lifu, Masaru Kitsuregawa:
P2PR-Tree: An R-Tree-Based Spatial Index for Peer-to-Peer Environments. EDBT Workshops 2004: 516-525 - [c4]Anirban Mondal, Masaru Kitsuregawa:
Load-Balancing Remote Spatial Join Queries in a Spatial GRID. ER 2004: 450-463 - 2003
- [c3]Anirban Mondal, Kazuo Goda, Masaru Kitsuregawa:
Effective Load-Balancing via Migration and Replication in Spatial Grids. DEXA 2003: 202-211 - 2001
- [c2]Anirban Mondal, Masaru Kitsuregawa, Beng Chin Ooi, Kian-Lee Tan
R-tree-based Data Migration and Selv-Tuning Strategies in Shared-Nothing Spatial Databases. ACM-GIS 2001: 28-33 - 2000
- [c1]Mong-Li Lee, Masaru Kitsuregawa, Beng Chin Ooi, Kian-Lee Tan
Towards Self-Tuning Data Placement in Parallel Database Systems. SIGMOD Conference 2000: 225-236
Coauthor Index
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